AAEL-PlayBook

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AAEL Practice PlayBook for the AAEL journey: action-oriented and participative

PlayBook on the Ambidextrous Agile Educational Leadership (AAEL) framework for the practice of (higher) education in the post-digital era

Part I To theAAEL Practise PlayBook

A lot is already there

In the spi­rit of a dwarf on the should­ers of giants – as can be read in the intro­duc­tion to the AAEL frame­work – well-known methods can also and espe­ci­al­ly be used for AAEL prac­ti­ce trans­fer. For pos­si­ble ways of imple­men­ting AAEL, the­se include abo­ve all prac­ti­ces from the con­texts of (sys­te­mic) con­sul­ting and coa­ching as well as (agi­le) orga­niza­tio­nal deve­lo­p­ment.

After all, the­re is alre­a­dy a lot that AAEL can do to joint­ly impro­ve hig­her edu­ca­ti­on for and in the post-digi­tal age, in which ana­log and digi­tal are natu­ral­ly mer­ging. Exis­ting methods and prac­ti­ces can be direct­ly adopted for lea­der­ship in the prac­ti­ce of (hig­her) edu­ca­ti­on in tran­si­ti­on in line with the AAEL frame­work – or ser­ve as an inspi­ra­ti­on and start­ing point for fur­ther and com­ple­te­ly new developments. 

To the AAEL Practice PlayBook

In this AAEL Prac­ti­ce Play­Book, the focus is on pro­vi­ding action-ori­en­ted ide­as and impul­ses for the joint, proac­ti­ve design of a prac­ti­ce of hig­her edu­ca­ti­on in chan­ge with Ambi­dex­trous Agi­le Edu­ca­tio­nal Lea­der­ship. The shor­ten­ed term “AAEL prac­ti­ce” con­ti­nues to encom­pass the enti­re field of prac­ti­ce and prac­ti­ces in which the imple­men­ta­ti­on and inte­gra­ti­on of this spe­ci­fic lea­der­ship approach can take place from the micro to the macro level with its prin­ci­ples in the sen­se of the AAEL frame­work.

The AAEL Play­Book fol­lows a uni­que style: it offers con­cre­te prac­ti­cal sug­ges­ti­ons from a sys­te­mic per­spec­ti­ve that deal in depth with the indi­vi­du­al ele­ments of the AAEL frame­work and their inter­play – ques­tio­ning, inter­ac­ting and reflec­ting and with the aim of taking direct action with the next step. The impul­ses are not exhaus­ti­ve for all pos­si­bi­li­ties of imple­men­ta­ti­on, but exem­pla­ry for a coher­ent direc­tion in the sen­se of the frame­work.

For tho­se who want to access the AAEL frame­work direct­ly from the Play­Book, optio­nal refe­ren­ces to in-depth infor­ma­ti­on and cross-refe­ren­ces to the other chap­ters have been included at the rele­vant points. It is not abso­lut­e­ly neces­sa­ry to read this chap­ter line­ar­ly — alt­hough it is curr­ent­ly struc­tu­red line­ar­ly via the text flow. 

Find the starting point together

When it comes to making a start, it is easy to be tempt­ed to think line­ar­ly, in stages and pha­ses and, abo­ve all, to wait for or expect the “right” or a start­ing point. Howe­ver, start­ing in the sen­se of AAEL does not mean start­ing from scratch, but start­ing direct­ly. With a first mana­geable expe­ri­ment or tri­al. And whe­re the grea­test pres­su­re to act can be felt or whe­re a rapid chan­ge is expec­ted and whe­re it is fea­si­ble and sui­ta­ble in terms of orga­niza­ti­on and per­son­nel. In other words, deter­mi­ne a smart start­ing point and tar­get area that, on the one hand, allows for a varie­ty of con­side­ra­ti­ons and is expe­ri­en­ced as meaningful and of genui­ne inte­rest to tho­se invol­ved, but is also rea­li­sti­cal­ly fea­si­ble within a mana­geable peri­od of time. This cla­ri­ty in start­ing point or lever as well as tar­get field or tar­get space (respec­tively) at the begin­ning is important becau­se such a pro­cess could some­ti­mes be per­cei­ved and expe­ri­en­ced by the actors invol­ved (inclu­ding inter­nal and exter­nal stake­hol­ders) as extra effort both in imple­men­ta­ti­on and in ongo­ing cri­ti­cal (self-)reflection.

The task at the start is the­r­e­fo­re to find a good start­ing point tog­e­ther in order to make an acti­ve start. This works well by loo­king clo­se­ly and lis­tening careful­ly, as well as fee­ling clo­se­ly and being sen­si­ti­ve to dyna­mics and rela­ti­onships; to find out what is alre­a­dy the­re and what can be built on or built upon. In each case, it is important to deter­mi­ne which actors stand for a com­mon ground, taking into account the spe­ci­fics of the indi­vi­du­al uni­ver­si­ty.

The fol­lo­wing prac­ti­cal Play­Book deli­bera­te­ly draws on a con­s­truc­ted, fic­ti­tious case stu­dy of a uni­ver­si­ty that alre­a­dy appears in the prac­ti­cal trans­fer – the Lear­ning Uni­ver­si­ty (LU). The aim is to illus­tra­te a pos­si­ble approach to the AAEL prin­ci­ples of action. This will hop­eful­ly make con­cre­te metho­do­lo­gi­cal approa­ches more com­pre­hen­si­ble and thus inspi­re and encou­ra­ge their appli­ca­ti­on and adapt­a­ti­on at your own university. 

Part II Make a start!

We are back at the fic­ti­tious Lear­ning Uni­ver­si­ty. The­re have been preli­mi­na­ry ori­en­ta­ti­on talks.
And now let’s ima­gi­ne the fol­lo­wing short sce­ne in the cour­se of a first per­so­nal mee­ting of a small group of people:

— “Okay. And whe­re and with whom do I or do we start spe­ci­fi­cal­ly with us?” — 
— “What ques­ti­on or topic is curr­ent­ly pres­sing? Whe­re are peo­p­le for which topics with whom an initi­al pro­ject can be con­s­truc­tively pilo­ted as a field of action and expe­ri­men­ted with tog­e­ther? This is whe­re we start!” — 
— “And when can we start?” — 
— „Now!“ — 
— „And how exact­ly can we get started?“ — 
— „That depends: The­re are many pos­si­bi­li­ties1 bet­ween a soft and a hard start with AAEL, bet­ween an ana­ly­ti­cal, crea­ti­ve or social approach — and just as many sui­ta­ble methods and stra­te­gic approa­ches. 2 Here in the AAEL frame­work, it’s all about desig­ning tog­e­ther. And first of all, it’s about taking a clo­se look and lis­tening and also sens­ing what is hap­pe­ning in order to get a good feel for the orga­niza­ti­on and its needs.” — 
— “That sounds pret­ty vague at first, should we real­ly just start now – or should we prepa­re and pre­sent some­thing first?” — 
— “My sug­ges­ti­on: let’s lite­ral­ly get a feel for how things are right now, whe­re we should start and with whom — crea­tively and crea­tively. In other words, as a first step, let’s try to make what is alre­a­dy the­re and how it is the­re visi­ble and com­pre­hen­si­ble for us and thus easier to expe­ri­ence. And to take an ana­ly­ti­cal look at the Lear­ning Uni­ver­si­ty from the per­spec­ti­ve of the AAEL frame­work with its ele­ments. For exam­p­le, whe­re do you expe­ri­ence Being in the sen­se of AAEL and whe­re do you alre­a­dy expe­ri­ence Doing AAEL? What is clo­ser tog­e­ther and what is fur­ther apart?“ — 
— “Okay, let’s just go for it. And how do we do that now?” — 
— “We model together!” —
Thinking with your hands – modeling your own university
The group looks at each other. “With mode­ling clay?” asks a tea­cher skep­ti­cal­ly.

Ano­ther par­ti­ci­pant laughs:
“Last time my kids used it was in ele­men­ta­ry school.
And tha­t’s sup­po­sed to help us now?“

And the next one says:
“I’ve never been good at craf­ting,
I’m sure others can do it better.” 

But this is not about skillful model­ling or crea­ting per­fect shapes. We use mode­ling here to enter into a dia­lo­gue (a simi­lar approach to buil­ding with Lego®Serious Play®.

Rather, the aim is not just to dis­cuss a com­mon under­stan­ding of AAEL for one’s own uni­ver­si­ty, for uni­ver­si­ty struc­tures and chan­ge pro­ces­ses theo­re­ti­cal­ly, but to expe­ri­ence them intui­tively, crea­tively and hap­ti­cal­ly. Mode­ling clay as a mate­ri­al makes it pos­si­ble to shape struc­tures, pro­ces­ses, rela­ti­onships and dyna­mics pla­s­ti­cal­ly and to make them tan­gi­ble, to feel them and to talk about them. That sounds chal­len­ging at first. But here it is less about a per­fect or cor­rect result and more about the pro­cess its­elf – and shared trust in this pro­cess.

Jede Per­son bringt dabei das mit ein, was in ihr steckt, was ihr spon­tan auf­fällt, sie sieht oder visua­li­sie­ren möch­te, wenn sie all­ge­mein an ihre Hoch­schu­le und kon­kre­ten an ihren Arbeits- und Hand­lungs­be­reich denkt. Denn wenn wir über Hoch­schul­ent­wick­lung spre­chen, gera­ten wir schnell in mit­un­ter auch abs­trak­te Kon­zep­te: Gover­nan­ce, Struk­tu­ren, Pro­zes­se, Kul­tur. Doch Hoch­schu­len sind nicht nur aus Tex­ten und Orga­ni­gram­men gemacht – sie ste­hen auch für Men­schen, Inter­ak­tio­nen, Bezie­hun­gen, Räu­men, Span­nun­gen, Ver­bin­dun­gen und Mög­lich­kei­ten.

If you like, you can recrea­te your own uni­ver­si­ty or parts of it with mode­ling clay – or abs­tract­ly depict what you per­cei­ve as AAEL-rele­vant processes:

🔗 Questions for reflection
  • Which struc­tures hinder?
  • Whe­re are the blind spots?
  • Whe­re are the net­works or bridges?
  • What is par­ti­cu­lar­ly stable?
  • Whe­re do we need new approaches?
  • What feels ali­ve today?

The 12 colors for mode­ling also stand for the twel­ve AAEL ele­ments and the topics they repre­sent in the frame­work, so that the uni­ver­si­ty can be visua­li­zed as a sys­tem along the fol­lo­wing key questions:

🏷️ Modeling colors and guiding questions and to the (following) focus sections
  • Grau: How do we expe­ri­ence digi­ta­liza­ti­on as an omni­pre­sent con­di­ti­on in the
    post-digi­ta­li­ty?
  • Oran­ge: Whe­re do we stand bet­ween pre­ser­va­ti­on and rene­wal – how does our our
    Ambi­dext­teri­ty?
  • Green: Whe­re are we fle­xi­ble? Whe­re are we stuck? Whe­re does our Agi­li­ty?
  • Blue: What edu­ca­tio­nal ide­als shape us? Or also: Our posi­ti­on on Edu­ca­tio­nal?
  • Yel­low: Who takes respon­si­bi­li­ty? Who remains pas­si­ve? Whe­re does Lea­der­ship?
  • Pink: What atti­tu­des cha­rac­te­ri­ze our thoughts and actions in the Being?
  • Light vio­let: How are struc­tures – in the Orga­niza­ti­on – are con­nec­ted with each other?
  • Pur­ple: What methods do we use in the Doing put into practice?
  • Vio­let: What role do I play as a – Per­son – in this system? 
  • Rosa: What ethi­cal prin­ci­ples – what Values – deter­mi­ne our actions? 
  • Vio­let: Which gui­ding prin­ci­ples Prin­ci­ples do we follow?
  • Petrol: What uns­po­ken rules deter­mi­ne ever­y­day life in our socie­ty? Cul­tu­re?
The process – experience university as a model

Tar­get group:
Tea­chers, stu­dents, admi­nis­tra­ti­ve staff (mixed); AI agents (as inde­pen­dent, inter­ac­ti­ve actors)
Goal (of the method):
Making uni­ver­si­ty struc­tures tangible

The par­ti­ci­pan­ts work tog­e­ther as a small group on one model or in seve­ral small groups.
The task is:

🧭 Task: Model your university or a section of it together.

Use the colors to make AAEL ele­ments visi­ble:
Whe­re are you alre­a­dy expe­ri­en­cing ambi­dex­teri­ty? Whe­re do you feel agi­li­ty? Whe­re is the­re resis­tance, gaps, miss­ing connections? 

Step 1— Perceiving & modeling
⚓️ What does our university look like?
  • How do we expe­ri­ence cen­tra­li­zed and decen­tra­li­zed structures?
  • What are the decis­i­on-making processes?
  • Whe­re are the bar­riers, net­works and bottlenecks?
  • Whe­re does inno­va­ti­on ari­se – and whe­re does it falter?
🔋Expansion through AI analysis

While the groups are working, con­ver­sa­ti­ons can be recor­ded and tran­scri­bed. An AI-sup­port­ed ana­ly­sis eva­lua­tes the dis­cus­sion and reco­gni­zes patterns: 

  • Which terms dominate?
  • Are the­re con­tra­dic­tions bet­ween what is said and what is modeled?
  • Which values and prin­ci­ples appear most frequently?
Step 2 — Reflection & interpretation
🔗 What do we recognize?
  • Which struc­tures are sta­ble – which are flexible?
  • Whe­re do blocka­ges occur? Whe­re are the­re blind spots? 
  • Which are­as are par­ti­cu­lar­ly well net­work­ed – whe­re are con­nec­tions missing?
🔋 AI agents as initiators

Pho­tos of the models are uploa­ded and an AI gene­ra­tes terms or clus­ters, e.g. to under­stand struc­tures and gain new perspectives: 

  • “Cen­tra­li­zed con­trol vs. agi­le networks”
  • “Spe­cia­list cul­tures with litt­le exchange”
  • “Ten­si­on bet­ween admi­nis­tra­ti­on and teaching”
Step 3 — Action & experiment
📍 What can we change immediately?

Which one would be a good first mea­su­re to initia­te at your uni­ver­si­ty and what would be a fea­si­ble first step? 

📍 A small experiment instead of a big reform:
  • Making a decis­i­on-making pro­cess more transparent?
  • Start­ing an inter­di­sci­pli­na­ry cooperation?
  • Ope­ning up an expe­ri­men­tal space for new tea­ching methods?
🔋 AI-supported review

Which terms came up fre­quent­ly in the initi­al reflec­tion – which were taken up by con­cre­te mea­su­res in the end? 

Step 4 (optional) — Meta-reflection: Insights from modeling

After the models are finis­hed, a con­scious­ly gui­ded reflec­tion round follows.

🧭 Task: Decide as a group!

Would you like to har­den your model now and keep it as docu­men­ta­ti­on?
or lea­ve it open for fur­ther deve­lo­p­ment later?!

🔗 Questions for meta-reflection:
  • What did you beco­me awa­re of during the mode­ling process?
  • What struc­tures have you built wit­hout rea­li­zing it?
  • What ten­si­ons or chal­lenges only beca­me visi­ble through modeling?
  • To what ext­ent does this method chan­ge your view of your own university?
  • How do you expe­ri­ence per­so­nal ambi­dex­teri­ty in mode­ling – whe­re do you feel more fixed, whe­re more flexible?
AAEL principle of action: Value-based action for sustainable higher education 

Through crea­ti­ve enga­ge­ment, uni­ver­si­ty deve­lo­p­ment is not only dis­cus­sed, but expe­ri­en­ced in a tan­gi­ble way – this pro­mo­tes dia­log, reflec­tion and shared understanding.

Part III — Taking the next step

In this chap­ter, a sel­ec­tion of sui­ta­ble metho­do­lo­gi­cal approa­ches and vari­ants are pre­sen­ted in the sen­se of the deve­lo­p­ment and appli­ca­ti­on of AAEL-Being and AAEL-Doing and sys­te­ma­ti­cal­ly made com­pre­hen­si­ble for prac­ti­ce along the buil­ding blocks of AAEL visua­liza­ti­on.

Having iden­ti­fied rules, prin­ci­ples and the fic­tion­al framing exam­p­le of the Lear­ning Uni­ver­si­ty (LU) in the AAEL Trans­fer of Prac­ti­ce chap­ter, exem­pla­ry prac­ti­ces along the prin­ci­ples of the AAEL Frame­work for a Prac­ti­ce of Hig­her Edu­ca­ti­on are now pre­sen­ted here.

In order to give the who­le thing a struc­tu­re, the respec­ti­ve buil­ding blocks from the visua­liza­ti­on are used as the focus. To this end, the visua­liza­ti­on with its twel­ve ele­ments, which are now used as an out­line for this chap­ter as fol­lows, should be recal­led here: 

Figu­re: Visua­li­sa­ti­on of the AAEL frame­work – Ambi­dex­trous Agi­le Edu­ca­tio­nal Lea­der­ship for the joint design of (hig­her) edu­ca­ti­on in the post-digi­tal era, ver­si­on 2.1.1.

This sequence can also be put into its own order and con­side­red with regard to the prac­ti­ce of hig­her edu­ca­ti­on. In a sys­te­mic, mul­ti-per­spec­ti­ve sen­se, it is more important to keep all other ele­ments in mind and to look spe­ci­fi­cal­ly at the ext­ent to which the­re are par­ti­cu­lar­ly strong over­laps with which ele­ments in each case.

The colors assi­gned in the visua­liza­ti­on are also included for hop­eful­ly bet­ter ori­en­ta­ti­on. And with refe­rence to the fic­ti­tious exam­p­le of the Lear­ning Uni­ver­si­ty, some­ti­mes micro, some­ti­mes meso and some­ti­mes macro levels are addres­sed as well as sel­ec­ted actors. They are inten­ded to show that an AAEL real­ly does take into account all stake­hol­ders at all levels in their inter­ac­tion.

Each buil­ding block is then struc­tu­red accor­ding to the fol­lo­wing points:

📍 Back­ground and initi­al situa­ti­on at the Lear­ning Uni­ver­si­ty (LU)
💭 Fic­ti­tious situa­ti­on as a case stu­dy at the LU
🔗 (Sys­te­mic) ques­ti­ons for reflec­tion
🎉 Out­line of a method for appli­ca­ti­on as an exem­pla­ry pro­ce­du­re vari­ant
💡Sum­ma­ry

And it remains the case that this is a frame­work and not a gui­de. The ele­ments of the AAEL frame­work are dis­cus­sed indi­vi­du­al­ly below as examp­les to give an impres­si­on of what a next step with a par­ti­cu­lar focus might look like. All sug­ges­ti­ons are mere­ly an impe­tus and not a bin­ding tem­p­la­te. It is always neces­sa­ry to check which vari­ant or adapt­a­ti­on suits your own indi­vi­du­al uni­ver­si­ty cul­tu­re and which adjus­t­ments are neces­sa­ry.

And: Per­haps just rea­ding the sug­ges­ti­on will inspi­re you to take your own – equal­ly sui­ta­ble – approach?

📍 Background and initial situation at the Learning University (LU)

The Lear­ning Uni­ver­si­ty (LU) has made a con­scious decis­i­on to no lon­ger sepa­ra­te edu­ca­ti­on into ana­log and digi­tal cate­go­ries. Ins­tead, it designs lear­ning, tea­ching and working envi­ron­ments that are natu­ral­ly post-digi­tal: phy­si­cal and vir­tu­al spaces mer­ge with each other and crea­te new, inte­gra­ti­ve and hybrid edu­ca­tio­nal spaces. This also includes archi­tec­tu­ral issues with regard to the design of rooms and buil­dings on cam­pus.

The Rec­to­ra­te and the facul­ties under­stand that post-digi­tal deve­lo­p­ments are fun­da­men­tal­ly chan­ging the way uni­ver­si­ties func­tion. At the same time, it is clear that per­so­nal encoun­ters in phy­si­cal space con­ti­nue to have their indis­pensable value. Both per­spec­ti­ves should be con­scious­ly inte­gra­ted and given equal value so that they can be prac­ti­ced at the LU as a mat­ter of cour­se.

As a lear­ning orga­niza­ti­on, LU faces the chall­enge of rethin­king and rede­sig­ning its iden­ti­ty as an on-cam­pus uni­ver­si­ty: It is important to con­scious­ly streng­then the value of per­so­nal encoun­ters, cont­acts and inter­ac­tions as well as to actively uti­li­ze the value of vir­tu­al encoun­ters and digi­tal com­mu­ni­ca­ti­on.

In this con­text, uni­ver­si­ty stake­hol­ders are incre­asing­ly rely­ing on AI agents they have crea­ted to sup­port them in various func­tions. Gene­ra­ti­ve lan­guage models or GenAI are no lon­ger used mere­ly as tools, but are inte­gra­ted into lear­ning and work pro­ces­ses as sup­port­i­ve, acti­ve actors and spar­ring or reflec­tion part­ners – both at the micro level (e.g. semi­nars), at the meso level (e.g. facul­ty struc­tures and pro­ces­ses) and at the macro level (e.g. stra­te­gic and ethi­cal issues of uni­ver­si­ty deve­lo­p­ment). Through the con­ti­nuous eva­lua­ti­on of inter­ac­tion pat­terns and auto­ma­ted feed­back loops, they help, for exam­p­le, to make blind spots and sys­te­mic pat­terns visi­ble and thus con­tri­bu­te to fur­ther deve­lo­p­ment in the various are­as of hig­her edu­ca­ti­on.

This deli­be­ra­te com­bi­na­ti­on of pre­sence and vir­tua­li­ty as well as the reflec­tion by humans and AI agents cha­rac­te­ri­zes this self-evi­dence of post-digi­ta­li­ty at the LU.

⚓️ The following key questions therefore arise:
  • How can LU shape edu­ca­ti­on and col­la­bo­ra­ti­on if ana­log and digi­tal spaces are no lon­ger thought of sepa­ra­te­ly, but ins­tead mer­ge with one ano­ther as a mat­ter of cour­se and systematically?
  • How do we need to con­scious­ly and thoughtful­ly shape our dealings with AI agents in order to reap the bene­fits of coope­ra­ti­on while main­tai­ning huma­ni­ty and responsibility?
  • What skills and atti­tu­des do uni­ver­si­ty mem­bers at all levels need in order to deal with the post-digi­tal rea­li­ty con­fi­dent­ly and responsibly?

Focus 1: Post-digitality (gray)

💭 Fictitious situation as a case study at the LU
— Post-digital interaction
at the micro, meso and macro level
It’s the mor­ning. An inter­di­sci­pli­na­ry pro­ject group con­sis­ting of lec­tu­r­ers, stu­dents, admi­nis­tra­ti­ve staff and their AI agents is mee­ting in a digi­tal workspace, the “LU Workspace”. This space feels real to ever­yo­ne invol­ved: Per­so­nal ava­tars sit next to each other, share ide­as, mode­ra­te dis­cus­sions and inde­pendent­ly sug­gest steps to sol­ve pro­blems. AI agents are invol­ved in the pro­cess by having them ask their own cri­ti­cal ques­ti­ons, offe­ring per­spec­ti­ves for decis­i­ons and (being able to) expand and impro­ve pro­po­sals.

At the same time, a face-to-face mee­ting will take place on the phy­si­cal cam­pus:
Dean Leo­nie Han­sen dis­cus­ses with her col­le­agues from various facul­ties and the admi­nis­tra­ti­on how AI agents can be inte­gra­ted soci­al­ly, orga­niza­tio­nal­ly and ethi­cal­ly.

Han­sen empha­si­zes:
“Our AI agents have long sin­ce beco­me team mem­bers. They not only take over rou­ti­nes, but also offer sug­ges­ti­ons and cri­ti­cal reflec­tions that can help us to think ahead and prepa­re decis­i­ons. They simu­la­te more human com­mu­ni­ca­ti­on beha­vi­or. But we need clear gui­de­lines: Whe­re exact­ly do we draw the line bet­ween human respon­si­bi­li­ty and AI’s scope for action?”

One stu­dent adds thoughtful­ly: “My AI agent often feels like a sup­port­i­ve con­ver­sa­ti­on part­ner. It helps me enorm­ously, but also chal­lenges me not to hand over respon­si­bi­li­ty and per­so­nal decis­i­ons com­ple­te­ly to it.”

During a short break in the con­ver­sa­ti­on, Pro­fes­sor Hen­rik Meiss­ner adds:
“In per­spec­ti­ve, this fun­da­men­tal­ly chan­ges our ide­as of social inter­ac­tion, respon­si­bi­li­ty and also lea­der­ship. Right now, it is essen­ti­al that we as a uni­ver­si­ty do not end up in an either/or situa­ti­on bet­ween pre­sence and vir­tua­li­ty, but ins­tead con­scious­ly inter­link the par­ti­cu­lar strengths of many pos­si­ble forms of com­mu­ni­ca­ti­on and learning.” 
AAEL principle of action: Post-digitality as a matter of course

Digi­tal and ana­log com­mu­ni­ca­ti­on are con­scious­ly and equal­ly com­bi­ned. Digi­ta­li­ty and AI are unders­tood and cri­ti­cal­ly reflec­ted upon as natu­ral com­pon­ents of uni­ver­si­ty culture 

🔗 Systemic questions for reflection
  • How is the use of AI in hig­her edu­ca­ti­on and AI agents chan­ging our under­stan­ding of edu­ca­ti­on, com­mu­ni­ca­ti­on and respon­si­bi­li­ty at universities?
  • How does the inte­gra­ti­on of AI in hig­her edu­ca­ti­on and AI agents chan­ge our per­cep­ti­on of respon­si­bi­li­ty, lea­der­ship and social interaction?
  • How can we spe­ci­fi­cal­ly pro­mo­te and inter­link the value of per­so­nal encoun­ters and digi­tal communication?
  • What frame­work con­di­ti­ons are nee­ded so that peo­p­le feel safe when inter­ac­ting with AI agents and respon­si­bi­li­ty remains cle­ar­ly defined?
  • How do we ensu­re per­so­nal respon­si­bi­li­ty and decis­i­on-making auto­no­my when AI acts incre­asing­ly independently?
  • What frame­work con­di­ti­ons do uni­ver­si­ty mem­bers need to work con­fi­dent­ly and reflec­tively with AI agents in a post-digi­tal environment?
  • What ethi­cal and value-based gui­de­lines do we need for respon­si­ble col­la­bo­ra­ti­on with AI agents?
🎉 Outline of a method for application as an exemplary procedure variant:
Reflective Integration Workshop

Tar­get group:
Tea­chers, stu­dents, admi­nis­tra­ti­ve staff (mixed); AI agents (as inde­pen­dent, inter­ac­ti­ve actors)
Goal (of the method):
Tar­ge­ted and reflec­ted inte­gra­ti­on of AI in hig­her edu­ca­ti­on and AI agents in working and lear­ning pro­ces­ses.
The focus here is on con­scious­ly crea­ting a balan­ce bet­ween humans and AI and cle­ar­ly defi­ning are­as of responsibility.

Step1 — Role awareness (Being AAEL)
⚓️ (Small) groups reflect together on their attitude to working with AI agents:
  • What role do AI agents curr­ent­ly play in our processes?
  • How is the pre­sence of AI chan­ging our inter­ac­tions and decis­i­on-making processes?
  • How does the inter­ac­tion with AI agents influence our values, espe­ci­al­ly with regard to respon­si­bi­li­ty, trust and openness?
  • What atti­tu­de do we need in order to act con­fi­dent­ly and ethically?
Step 2 — Role awareness (Being AAEL)
🧭 Task: Work on a typical task in the group together with an AI agent

Teams work on spe­ci­fic tasks (e.g. pro­ject plans, ana­ly­ses, texts) tog­e­ther with their AI agents. They expli­cit­ly docu­ment moments in which AI agents were per­cei­ved as par­ti­cu­lar­ly hel­pful, con­fu­sing or critical. 

Step 3 — Critical reflection and recommendations for action (Being & Doing AAEL)
⚓️ Joint reflection after completing the task:
  • Whe­re were AI agents par­ti­cu­lar­ly valuable?
  • Whe­re do we need clear boun­da­ries and rules for interaction?
🧭 Task: Develop a recommendation for the responsible use of AI agents at the university 

AAEL principle of action: Value-based action for sustainable higher education 

The method pro­mo­tes con­scious value ori­en­ta­ti­on in order to deal respon­si­bly and reflec­tively with the pre­sence of AI agents.

AAEL principle of action: Social responsibility and educational mission 

Con­scious­ly reflec­ting on and sha­ping coope­ra­ti­on with AI agents in the con­text of glo­bal ethi­cal responsibility.

🏷️ Additions and comments (global perspective, macro level):

In stra­te­gic dis­cus­sions at macro level, the uni­ver­si­ty manage­ment also dis­cus­ses glo­bal and ethi­cal impli­ca­ti­ons as well as its self-image as a future-ori­en­ted uni­ver­si­ty in the post-digi­tal age: 

  • What social respon­si­bi­li­ty do we as a uni­ver­si­ty bear for deal­ing with AI as inde­pen­dent actors?
  • What glo­bal­ly rele­vant ethi­cal stan­dards do we fol­low when deal­ing with AI agents? What recom­men­da­ti­ons for action are the­re so far that we can and should adopt? 
  • How do we design a post-digi­tal cam­pus that is an attrac­ti­ve lear­ning and inter­ac­tion envi­ron­ment for students?
  • How do we design con­tem­po­ra­ry hig­her edu­ca­ti­on that also sets inter­na­tio­nal stan­dards for ethi­cal and soci­al­ly respon­si­ble AI integration?
  • How do we posi­ti­on our­sel­ves cle­ar­ly as a future-ori­en­ted uni­ver­si­ty that does not sepa­ra­te bet­ween ana­log and digi­tal, but con­fi­dent­ly and con­fi­dent­ly breaks new ground in the in-bet­ween and can beco­me a visi­ble role model for the uni­ver­si­ty landscape?
💡 Summary

The LU con­scious­ly reco­gni­zes that AI agents and digi­tal spaces have long sin­ce beco­me a natu­ral part of ever­y­day uni­ver­si­ty life. At the same time, it is clear that phy­si­cal encoun­ters retain their value.

The inte­gra­ti­on of phy­si­cal and digi­tal inter­ac­tion and reflec­ti­ve col­la­bo­ra­ti­on with AI agents is sys­te­ma­ti­cal­ly pro­mo­ted — both on a value-ori­en­ted atti­tu­de level (Being AAEL) and on a metho­di­cal-prac­ti­cal level (Doing AAEL).

This can sus­tain­ab­ly crea­te an emer­gent AAEL cul­tu­re that con­fi­dent­ly com­bi­nes digi­tal and ana­log worlds.

Fokus 2: Beidhändig (orange)

📍 Background and initial situation at the Learning University (LU)

As an edu­ca­tio­nal insti­tu­ti­on stee­ped in tra­di­ti­on, the Lear­ning Uni­ver­si­ty (LU) is caught bet­ween the con­ti­nuous opti­miza­ti­on of pro­ven struc­tures and pro­ces­ses (explo­ita­ti­on) and the neces­sa­ry open­ness to inno­va­ti­on and rene­wal (explo­ra­ti­on). In the cour­se of the digi­tal trans­for­ma­ti­on – from tra­di­tio­nal e‑learning to the com­pre­hen­si­ve inte­gra­ti­on of arti­fi­ci­al intel­li­gence (AI) in tea­ching, rese­arch and admi­nis­tra­ti­on – uni­ver­si­ties are faced with the chall­enge of coping with diver­se, some­ti­mes con­tra­dic­to­ry requi­re­ments at the same time. It is beco­ming incre­asing­ly clear that simp­le solu­ti­ons and line­ar ans­wers are no lon­ger suf­fi­ci­ent. Hig­her edu­ca­ti­on today takes place in a com­plex social con­text that requi­res ambi­dex­trous and, strict­ly spea­king, even mul­t­i­dex­trous thin­king and action due to the mul­ti­ple per­spec­ti­ves that need to be taken into account.

Against this back­drop, the exten­ded uni­ver­si­ty manage­ment of the LU, tog­e­ther with poli­ti­cal actors, made a con­scious decis­i­on to crea­te a frame­work in which uni­ver­si­ties incre­asing­ly func­tion as expe­ri­men­tal spaces for edu­ca­ti­on. The­se should enable them to break new ground bey­ond clas­sic regu­la­to­ry requi­re­ments and tra­di­tio­nal gover­nan­ce struc­tures. The LU express­ly reco­gni­zes the need to pro­mo­te ambi­dex­trous spaces for thought and action in order to be able to react con­fi­dent­ly to diver­se social demands. 

⚓️ The following key questions therefore arise:
  • How can LU shape edu­ca­ti­on and col­la­bo­ra­ti­on if ana­log and digi­tal spaces are no lon­ger thought of sepa­ra­te­ly, but ins­tead mer­ge with one ano­ther as a mat­ter of cour­se and systematically?
  • How do we need to con­scious­ly and thoughtful­ly shape our dealings with AI agents in order to reap the bene­fits of coope­ra­ti­on while main­tai­ning huma­ni­ty and responsibility?
  • What skills and atti­tu­des do uni­ver­si­ty mem­bers at all levels need in order to deal with the post-digi­tal rea­li­ty con­fi­dent­ly and responsibly?
💭 Fictitious situation as a case study at the LU
— Ambidexterity in the university context: between stability and room for experimentation using the example of the meso and macro level
The exten­ded uni­ver­si­ty manage­ment, con­sis­ting of the Rec­to­ra­te, pro-rec­tors, mem­bers of the Sena­te and exter­nal stake­hol­ders from poli­tics and socie­ty, meets for a stra­te­gic work­shop. The topic is the fun­da­men­tal stra­te­gic direc­tion of LU in view of the chal­lenges posed by digi­ta­liza­ti­on and AI inte­gra­ti­on.

Rec­tor Eva Adams opens the dis­cus­sion:
“Our chall­enge is obvious: we are caught bet­ween two major poles. On the one hand, we need a relia­ble, sta­ble basis – our tra­di­tio­nal, modu­la­ri­zed degree cour­ses, fixed exami­na­ti­on regu­la­ti­ons and long-term rese­arch pro­gram­mes.
On the other hand, we need to react open­ly and quick­ly to new deve­lo­p­ments, from micro-cre­den­ti­als to the sys­te­ma­tic inte­gra­ti­on of AI in all are­as of hig­her edu­ca­ti­on. And the com­pe­ti­ti­on never sleeps – just look at the pri­va­te uni­ver­si­ty mar­ket and the influx of stu­dents that we are miss­ing or will be miss­ing.”

The Pro-Rec­tor for Stu­dies and Tea­ching, Nakoa Laux, adds:
“To be able to act with con­fi­dence, we need to be awa­re of the com­ple­xi­ty of our envi­ron­ment. We should deve­lop ambi­dex­trous and, strict­ly spea­king, mul­t­i­dex­trous mind­sets and agi­le gover­nan­ce struc­tures that allow us to imple­ment tra­di­tio­nal degree pro­grams and short-term inno­va­ti­on pro­jects in par­al­lel. Poli­tics and uni­ver­si­ties must go hand in hand here to crea­te genui­ne spaces for expe­ri­men­ta­ti­on. Also with a view to our future abili­ty to act.”

A repre­sen­ta­ti­ve of the minis­try takes up this per­spec­ti­ve:
“We under­stand that uni­ver­si­ties are curr­ent­ly too tight­ly bound by tra­di­tio­nal regu­la­ti­ons. For agi­le uni­ver­si­ty deve­lo­p­ment, we need fle­xi­ble frame­work con­di­ti­ons. We are the­r­e­fo­re open to pro­mo­ting expe­ri­men­tal spaces that allow uni­ver­si­ties to react quick­ly to social chal­lenges such as AI inte­gra­ti­on and digi­tal transformation.” 
AAEL principle of action: bridging the duality of exploration and exploitation 

LU deli­bera­te­ly posi­ti­ons its­elf as an ambi­dex­trous play­er that com­bi­nes sta­bi­li­ty and inno­va­ti­on in a tar­ge­ted and stra­te­gic manner.

🔗 Systemic questions for reflection
  • How do we crea­te a cul­tu­re and struc­tu­re in which we simul­ta­neous­ly opti­mi­ze exis­ting pro­ces­ses and explo­re new, inno­va­ti­ve solutions?
  • How can ambi­dex­trous beha­vi­or be spe­ci­fi­cal­ly estab­lished at our uni­ver­si­ty, and which AAEL values and prin­ci­ples help us to do so?
  • How can poli­cy­ma­kers and uni­ver­si­ties work tog­e­ther to crea­te a frame­work that enables genui­ne agility?
  • How do we reco­gni­ze whe­ther we have found the right balan­ce bet­ween sta­bi­li­ty and inno­va­ti­on in our actions?
🎉 Outline of a method for application as an exemplary procedure variant:
Ambidextrie-Review Workshop

Tar­get group:
Exten­ded uni­ver­si­ty manage­ment (rec­to­ra­te, pro-rec­tors, sena­tes, uni­ver­si­ty coun­cils); repre­sen­ta­ti­ves from edu­ca­ti­on poli­cy and minis­tries; exter­nal experts from sci­ence, busi­ness and socie­ty)
Aim of the method:
Regu­lar stra­te­gic assess­ment of LU’s ambi­dex­trous ori­en­ta­ti­on bet­ween explo­ra­ti­on and explo­ita­ti­on, joint­ly sup­port­ed by uni­ver­si­ty manage­ment and poli­ti­cal decision-makers.

Step 1 — Reflection and assessment (Being AAEL)
  • Sys­te­ma­tic ana­ly­sis of cur­rent are­as of ten­si­on bet­ween tra­di­tio­nal uni­ver­si­ty struc­tures and inno­va­ti­ve approa­ches (micro-cre­den­ti­als, AI inte­gra­ti­on, etc.).
  • Clas­si­fi­ca­ti­on of cur­rent chal­lenges and oppor­tu­ni­ties using the Cyne­fin frame­work for com­ple­xi­ty analysis.
Step 2 — Strategic ambidexterity analysis (Doing AAEL)
  • Iden­ti­fi­ca­ti­on of spe­ci­fic pro­jects and initia­ti­ves (e.g. expe­ri­men­tal spaces) that exem­pli­fy the ten­si­on bet­ween sta­bi­li­ty and innovation.
  • Joint eva­lua­ti­on of suc­ces­ses, fail­ures and les­sons lear­ned from mea­su­res alre­a­dy implemented.
Step 3 — Political and structural review (Being & Doing AAEL)
  • Open dis­cus­sion with the poli­ti­cal level about regu­la­to­ry and struc­tu­ral free­dom for ambi­dex­teri­ty (expe­ri­men­tal spaces).
  • Deve­lo­p­ment of con­cre­te recom­men­da­ti­ons for action for poli­ti­cal and struc­tu­ral frame­work con­di­ti­ons to enable ambi­dex­trous (and mul­t­i­dex­trous) action at the uni­ver­si­ty in the long term.
AAEL principles of action: Social responsibility and educational mission & value-based action for sustainable higher education 

Poli­ti­cal and inter­nal uni­ver­si­ty stake­hol­ders work tog­e­ther to shape LU’s future via­bi­li­ty in an ambi­dex­trous and agi­le man­ner, based on a con­scious focus on values and social responsibility.

💡 Summary

The LU con­scious­ly reco­gni­zes that hig­her edu­ca­ti­on today takes place in com­plex social con­texts in which an ambi­dex­trous way of thin­king and acting is neces­sa­ry. Tog­e­ther with poli­ti­cal decis­i­on-makers, the LU crea­tes stra­te­gic and struc­tu­ral frame­work con­di­ti­ons that allow it to navi­ga­te con­fi­dent­ly bet­ween explo­ra­ti­on (inno­va­ti­on) and explo­ita­ti­on (opti­miza­ti­on). This is done con­scious­ly and metho­di­cal­ly through regu­lar reviews and expe­ri­men­tal free­dom, which can result in a sus­tainable, emer­gent AAEL cul­tu­re in the long term, inclu­ding at the macro level. 

Focus 3: Agile (green)

📍 Background and initial situation at the Learning University (LU)

At the Lear­ning Uni­ver­si­ty (LU), agi­li­ty is not misun­ders­tood as a fashionable term, but has long sin­ce beco­me a gui­ding per­spec­ti­ve and atti­tu­de: a con­fi­dent, ite­ra­ti­ve, trans­pa­rent and cou­ra­ge­ous approach to reac­ting quick­ly and sus­tain­ab­ly to com­plex chal­lenges. At the same time, LU knows that agi­li­ty does not mean cha­os or aim­less fle­xi­bi­li­ty, but con­scious action based on a clear, shared set of values – abo­ve all cou­ra­ge, trans­pa­ren­cy, feed­back and accep­tance of respon­si­bi­li­ty – with a view to the qua­li­ty of a uni­ver­si­ty­’s tasks and its achie­ve­ments for sci­ence and edu­ca­ti­on for socie­ty.

The Rec­to­ra­te has deci­ded to sys­te­ma­ti­cal­ly enable frame­work con­di­ti­ons that pro­mo­te agi­le methods and prac­ti­ces (Doing AAEL) as well as a sove­reign ori­en­ta­ti­on towards prin­ci­ples and values (Being AAEL) among all uni­ver­si­ty mem­bers. An area of ten­si­on is curr­ent­ly par­ti­cu­lar­ly evi­dent in the area of tea­ching deve­lo­p­ment within and bet­ween the facul­ties: tra­di­tio­nal uni­ver­si­ty struc­tures – such as fixed degree cour­ses, modu­les and exami­na­ti­on regu­la­ti­ons – are in clear ten­si­on with short-term, demand-ori­en­ted and topic-cen­te­red edu­ca­tio­nal offe­rings (e.g. micro-cre­den­ti­als on AI, sus­taina­bi­li­ty, data literacy). 

⚓️ This raises important questions:
  • How can we con­fi­dent­ly com­bi­ne agi­le edu­ca­tio­nal pro­grams and tra­di­tio­nal structures?
  • What values and atti­tu­des help us to take cou­ra­ge­ous agi­le steps in a sys­te­ma­tic and reflec­ti­ve manner?
  • How can we react sys­te­ma­ti­cal­ly and fle­xi­bly to chan­ges while con­ti­nuing to deve­lop our trai­ning pro­grams in an agi­le manner?
  • How do we inte­gra­te regu­lar and rapid review and inspect & adapt cycles into our pro­ces­ses in order to spe­ci­fi­cal­ly include exter­nal per­spec­ti­ves such as tho­se of AI agents and exter­nal part­ners in the deve­lo­p­ment and appr­oval of con­tem­po­ra­ry stu­dy offerings?
💭 Fictitious situation as a case study at the LU
— Post-digital interaction (micro, meso, macro level)
Dean Hen­rik Meiss­ner sits tog­e­ther with Dean Leo­nie Han­sen, tea­ching staff, stu­dent repre­sen­ta­ti­ves and repre­sen­ta­ti­ves from the admi­nis­tra­ti­on and exami­na­ti­on offices to dis­cuss cur­ri­cu­la to com­ple­ment the tra­di­tio­nal stu­dy struc­tures.

It is incre­asing­ly about new, short-term for­mats with micro-cre­den­ti­als or simi­lar exami­na­ti­on for­mats. Design sprints can sup­port deve­lo­p­ment here.

“Our chall­enge is clear.”
Meiss­ner says.
“Our tra­di­tio­nal degree pro­grams are good, but too infle­xi­ble for cur­rent topics such as AI, data liter­acy or sus­taina­bi­li­ty. We need to be cou­ra­ge­ous and inte­gra­te the­se new topics into our offe­ring in an agi­le way wit­hout losing sta­bi­li­ty and con­ti­nui­ty.”

Dean Leo­nie Han­sen adds:
“It helps us to expli­cit­ly use agi­le prac­ti­ces such as regu­lar Inspect & Adapt cycles. At the same time, we have to cri­ti­cal­ly reflect on the inte­gra­ti­on of new edu­ca­tio­nal for­mats – espe­ci­al­ly in reviews with stu­dents, exter­nal part­ners who sup­port us as “cri­ti­cal fri­ends” and AI agents as reflec­tion part­ners.”

Stu­dent Sami Okoye adds fur­ther:
“Agi­li­ty helps us enorm­ously to learn in a prac­ti­cal and up-to-date way. But we need clear frame­work con­di­ti­ons and a trans­pa­rent atti­tu­de: how open are we real­ly to feed­back from out­side, for exam­p­le from AI agents? And how do we ensu­re that agi­le prac­ti­ce does not come at the expen­se of our long-term skills deve­lo­p­ment?”

The Pro-Dean of Stu­dies and Tea­ching at the Facul­ty of Edu­ca­ti­on, Ste­fa­no Clark, also rai­ses the more fun­da­men­tal ques­ti­on:
“To what ext­ent do exam for­mats still make sen­se in the age of AI? And should­n’t we start to rethink stu­dy pro­grams in terms of lifel­ong lear­ning across all pha­ses of life as a sui­ta­ble offer?” 
AAEL principle of action: bridging exploration and exploitation 

Agi­li­ty at LU means con­scious­ly navi­ga­ting bet­ween inno­va­ti­on (explo­ra­ti­on) and pro­ven struc­tures (explo­ita­ti­on).

🔗 Systemic questions for reflection
  • What agi­le values do we actual­ly live by and how do they influence our dai­ly acti­vi­ties at the university?
  • How do we crea­te a frame­work so that agi­le and tra­di­tio­nal edu­ca­ti­on for­mats com­ple­ment rather than hin­der each other?
  • What role can AI agents play in agi­le processes?
  • How do we pro­mo­te a feed­back cul­tu­re that streng­thens trans­pa­ren­cy, cou­ra­ge and accep­tance of respon­si­bi­li­ty in agi­le processes?
🎉 Outline of a method for application as an exemplary procedure variant
AAEL Agile Circle

Tar­get group:
Deans, lec­tu­r­ers, stu­dents from various facul­ties; repre­sen­ta­ti­ves from admi­nis­tra­ti­on and sup­port; exter­nal stake­hol­ders (e.g. alum­ni, prac­ti­ce part­ners); AI agents as reflec­tion and feed­back part­ners
Aim of the method:
Sys­te­ma­ti­cal­ly and regu­lar­ly prac­ti­cing agi­le approa­ches in edu­ca­tio­nal pro­ces­ses, inte­gra­ting tar­ge­ted feed­back from inter­nal and exter­nal stake­hol­ders — inclu­ding AI agents — and con­ti­nuous­ly impro­ving lear­ning oppor­tu­ni­ties and for­mats on this basis.

Step 1 — Planning (Doing AAEL)
  • Joint plan­ning of an agi­le trai­ning pro­gram (e.g. micro-cre­den­ti­al on AI-rela­ted data literacy)
  • Clear defi­ni­ti­on of goals, roles and responsibilities
Step 2 — Sprint phase: Agile implementation (Doing AAEL)
  • Small groups deve­lop con­cre­te lear­ning oppor­tu­ni­ties in an agi­le and ite­ra­ti­ve man­ner within short inter­vals (1 to 2 weeks)
  • In the mean­ti­me, regu­lar exch­an­ge and trans­pa­rent feed­back (actively live feed­back culture)
Step 3 — Inspect-&-Adapt-Review with stakeholders (Being & Doing AAEL)
  • Sys­te­ma­tic, mode­ra­ted review after each sprint
  • Expli­cit invol­vement of AI agents for sup­port and exter­nal part­ners as “cri­ti­cal friends” 
    • “What blind spots do AI agents reco­gni­ze that we might overlook?”
    • “What chan­ges do exter­nal part­ners propose?”
AAEL principles of action: Social responsibility and educational mission/values-based action for sustainable higher education 

LU con­scious­ly uses the review to put agi­le values such as feed­back, open­ness and cou­ra­ge into practice.

Step 4 — Adaption and Iteration (Doing AAEL)
  • Imme­dia­te adapt­a­ti­on of the edu­ca­tio­nal offers based on the feedback
  • New agi­le cycles start imme­dia­te­ly afterwards
💡 Summary

The Lear­ning Uni­ver­si­ty sys­te­ma­ti­cal­ly estab­lishes agi­le methods and prac­ti­ces (Doing AAEL) on the basis of a con­scious focus on values and atti­tu­des (Being AAEL). The expli­cit inter­play of Inspect & Adapt cycles, regu­lar reviews with inter­nal and exter­nal stake­hol­ders and a reflec­ti­ve value ori­en­ta­ti­on crea­tes a con­fi­dent agi­li­ty that values and com­bi­nes tra­di­tio­nal and inno­va­ti­ve edu­ca­tio­nal offe­rings in equal mea­su­re. In this way, a sus­tainable AAEL cul­tu­re emer­ges that not only under­stands agi­li­ty in theo­ry, but also lives it in prac­ti­ce and makes con­scious use of it. 

Fokus 4: Bildung (blau)

📍 Background and initial situation at the Learning University (LU)

The Lear­ning Uni­ver­si­ty (LU) sees edu­ca­ti­on as a com­mon pur­po­se and cen­tral mea­ning that con­nects all of the uni­ver­si­ty­’s stake­hol­ders. Par­ti­cu­lar­ly in the face of com­plex social chal­lenges – from digi­tal trans­for­ma­ti­on and sus­tainable deve­lo­p­ment to ethi­cal issues sur­roun­ding arti­fi­ci­al intel­li­gence – purely tech­ni­cal know­ledge trans­fer is no lon­ger suf­fi­ci­ent. Today, know­ledge is digi­tal and free­ly available; the real value of a uni­ver­si­ty the­r­e­fo­re lies not only in impar­ting spe­cia­list know­ledge, but incre­asing­ly also in pro­mo­ting per­so­nal deve­lo­p­ment, social skills and the abili­ty to reflect cri­ti­cal­ly.

LU con­scious­ly posi­ti­ons its­elf as a place of holi­stic edu­ca­ti­on that enables young peo­p­le and adults to deve­lop their per­so­na­li­ties in addi­ti­on to pro­fes­sio­nal skills and employa­bi­li­ty. At the same time, it is clear that uni­ver­si­ties in Ger­ma­ny face the inter­nal chall­enge of inte­gra­ting and con­nec­ting loo­se­ly cou­pled sys­tems with dif­fe­rent pro­fes­sio­nal cul­tures, inte­rests, resour­ce allo­ca­ti­ons and are­as of ten­si­on (cen­tra­li­ty vs. decen­tra­liza­ti­on, rese­arch vs. tea­ching, tra­di­tio­nal vs. agi­le governance). 

⚓️ This gives rise to key questions for the LU:
  • How do we crea­te a shared sen­se of pur­po­se in com­plex con­texts that con­nects and moti­va­tes stu­dents, tea­ching staff, admi­nis­tra­ti­on and exter­nal part­ners alike?
  • How do we expli­cit­ly pro­mo­te per­so­na­li­ty deve­lo­p­ment and social skills in addi­ti­on to spe­cia­list know­ledge and employa­bi­li­ty in a sys­te­ma­tic and sus­tainable way?
  • What metho­do­lo­gi­cal and struc­tu­ral frame­work con­di­ti­ons enable agi­le, ambi­dex­trous and par­ti­ci­pa­to­ry edu­ca­tio­nal pro­ces­ses in the sen­se of AAEL bey­ond tra­di­tio­nal silo structures?
💭 Fictitious situation as a case study at the LU
— Enabling personal development together” (micro, meso and macro level)

In a uni­ver­si­ty-wide “Pur­po­se Forum”, stu­dents, lec­tu­r­ers, admi­nis­tra­ti­ve staff, deans and uni­ver­si­ty manage­ment dis­cuss tog­e­ther with exter­nal stake­hol­ders from busi­ness, poli­tics and socie­ty what they see as the com­mon pur­po­se of their hig­her edu­ca­ti­on. This time, the focus is on streng­thening per­so­nal deve­lo­p­ment at LU in addi­ti­on to sub­ject-spe­ci­fic and skills-ori­en­ted per­spec­ti­ves. And thus the ques­ti­on of what for with regard to the spe­ci­fic pro­fi­le of the LU.

Rec­tor Eva Adams ope­ned the event:
“Today, our stu­dents can acqui­re know­ledge any­whe­re. Our spe­cial role is to offer edu­ca­tio­nal oppor­tu­ni­ties in a com­pre­hen­si­ve sen­se: Space for per­so­nal deve­lo­p­ment, ethi­cal reflec­tion, cri­ti­cal thin­king and social respon­si­bi­li­ty. Howe­ver, the­se goals have so far often only remain­ed gui­ding prin­ci­ples on paper. How do we mana­ge to inte­gra­te and rea­li­ze our pur­po­se in rela­ti­on to edu­ca­ti­on in a tru­ly sus­tainable and prac­ti­cal way in our ever­y­day lives?”

Stu­dent Aila­ni Chen adds:
“I would like hig­her edu­ca­ti­on to con­scious­ly give us space to deal ethi­cal­ly and cri­ti­cal­ly with digi­tal topics such as AI. Edu­ca­ti­on today should not only teach pro­fes­sio­nal skills, but also life skills.”

Dean Leo­nie Han­sen picks up on this:
“Our chall­enge is that we still think in silos. Facul­ties and admi­nis­tra­ti­on often ope­ra­te side by side. We need a shared pur­po­se ori­en­ta­ti­on that is actual­ly put into prac­ti­ce.”

The Pro-Rec­tor for Stu­dies and Tea­ching, Nakoa Laux, adds:
“To achie­ve this, we need new, agi­le and inte­gra­ted for­mats and struc­tures that are expli­cit­ly based on a shared sen­se of pur­po­se and regu­lar reflec­tion. Let’s estab­lish this sys­te­ma­ti­cal­ly and methodically.” 
AAEL principles of action: Social responsibility and educational mission/values-based action for sustainable higher education 

Edu­ca­ti­on is con­cei­ved holi­sti­cal­ly as a pur­po­se and expli­cit­ly lin­ked to per­so­nal deve­lo­p­ment, ethi­cal reflec­tion and social responsibility.

🔗 Systemic questions for reflection
  • How do we defi­ne our com­mon “pur­po­se” as a uni­ver­si­ty — bey­ond mere­ly impar­ting knowledge?
  • What per­so­nal, ethi­cal and social oppor­tu­ni­ties for trans­for­ma­ti­ve edu­ca­ti­on do we want to spe­ci­fi­cal­ly pro­mo­te and develop?
  • Whe­re do we con­scious­ly focus on a com­pe­tence ori­en­ta­ti­on for future capa­ci­ty to act and more on trans­for­ma­tio­nal competencies?
  • What struc­tures or mind­sets are curr­ent­ly pre­ven­ting us from living this pur­po­se together?
  • Which methods and for­mats help us to imple­ment a pur­po­se ori­en­ta­ti­on authen­ti­cal­ly and sus­tain­ab­ly throug­hout the university?
🎉Outline of a method for application as an exemplary procedure variant:
AAEL Purpose Circle

Tar­get group:
Stu­dents from various facul­ties; tea­ching staff and rese­ar­chers; repre­sen­ta­ti­ves from admi­nis­tra­ti­on and uni­ver­si­ty manage­ment; AI agents
Aim of the method:
Deve­lo­p­ment of a sus­tainable, com­mon pur­po­se that ali­gns edu­ca­ti­on not only with the sub­ject, but also with regard to per­so­nal deve­lo­p­ment and social skills development.

Step 1 — Common purpose definition (Being AAEL)
  • Mixed groups deve­lop con­cre­te pro­po­sals for a com­mon pur­po­se for LU, which also expli­cit­ly includes per­so­nal development.
  • Dis­cus­sion: What does edu­ca­ti­on mean to us holi­sti­cal­ly today?
Step 2 — Analysis of current practice (Doing AAEL)
  • Groups cri­ti­cal­ly reflect on whe­re and how the com­mon pur­po­se is alre­a­dy being prac­ti­ced in their area and whe­re it has so far only exis­ted on paper.
Step 3 — Joint Purpose Integration (Being & Doing AAEL)
  • Deve­lop con­cre­te steps to inte­gra­te pur­po­se and per­so­nal deve­lo­p­ment into tea­ching, rese­arch, admi­nis­tra­ti­on and cam­pus life.
  • Plan­ning agi­le expe­ri­men­tal spaces for new for­mats of per­so­nal deve­lo­p­ment and social skills development.
AAEL principles of action: Bridging the Duality of Exploration and Exploitation & Sovereign Agility in Education 

Pur­po­se and per­so­nal deve­lo­p­ment are con­scious­ly deve­lo­ped, inte­gra­ted and ite­ra­tively refi­ned in an agi­le manner.

💡 Summary

Focus 5: Leadership (yellow)

📍 Background and initial situation at the Learning University (LU)

At the Lear­ning Uni­ver­si­ty (LU), lea­der­ship is no lon­ger con­fu­sed with a hier­ar­chi­cal posi­ti­on. Rather, lea­der­ship is an atti­tu­de and an action that is expli­cit­ly sup­port­ed and shaped by all mem­bers of the uni­ver­si­ty – by deans, lec­tu­r­ers and rese­ar­chers as well as stu­dents and admi­nis­tra­ti­ve staff. This is par­ti­cu­lar­ly neces­sa­ry in the con­text of agi­le and ambi­dex­trous pro­ces­ses, in which dyna­mic chan­ge and uncer­tain­ty are part of ever­y­day life.

The Rec­to­ra­te has now made a con­scious decis­i­on to crea­te a frame­work that pro­mo­tes acti­ve, broad­ly dis­tri­bu­ted lea­der­ship respon­si­bi­li­ty. The cen­tral idea behind this: If LU wants to act in a sus­tainable, agi­le and ambi­dex­trous or mul­t­i­dex­trous man­ner, all tho­se invol­ved must reco­gni­ze and accept their own lea­der­ship role and prac­ti­ce it in joint pro­ces­ses. Only in this way can a genui­ne AAEL cul­tu­re emer­ge and have a las­ting effect.

The focus here is expli­cit­ly on the midd­le level of the facul­ties, as this is decisi­ve for how chan­ge and inno­va­ti­on are suc­cessful­ly imple­men­ted in uni­ver­si­ties. At the same time, all uni­ver­si­ty mem­bers (inclu­ding stu­dents, admi­nis­tra­ti­on, tea­ching staff and, whe­re appro­pria­te, alum­ni) should be invol­ved as participants. 

💭 Fictitious situation as a case study at the LU
— be able to assume leadership in all areas. (Focus: middle level of deaneries and faculties) 
In recent months, LU has come to rea­li­ze that lea­der­ship can no lon­ger only come from the top-down manage­ment of the uni­ver­si­ty, but also from the midd­le of the uni­ver­si­ty in par­ti­cu­lar – and facul­ties – must be ancho­red and beco­me effec­ti­ve.

Dean Leo­nie Han­sen gets to the heart of the mat­ter:
“Pre­cis­e­ly becau­se we ope­ra­te in such agi­le and ambi­dex­trous pro­ces­ses and have to con­stant­ly navi­ga­te bet­ween the tried and tes­ted and the new, we need lea­der­ship that does not come from just a few peo­p­le. Ever­yo­ne in the facul­ty should be able to prac­ti­ce lea­der­ship con­fi­dent­ly and respon­si­bly in their own area of acti­vi­ty.”

Dean Hen­rik Meiss­ner adds:
“This also means that we need to sys­te­ma­ti­cal­ly deve­lop an atti­tu­de that enables value ori­en­ta­ti­on, open­ness and empower­ment. But that does­n’t hap­pen by its­elf – we have to learn and prac­ti­se it tog­e­ther in agi­le, reflec­ti­ve and sys­te­ma­tic for­mats.”

Against this back­drop, the deans, tog­e­ther with the uni­ver­si­ty manage­ment, deci­de to make tar­ge­ted use of a struc­tu­red Cir­cle method at LU in order to streng­then inte­gra­ted lea­der­ship on a broad level. 
🔗 Systemic questions for reflection
  • How does my under­stan­ding of lea­der­ship chan­ge when I think of it in inte­gra­ti­ve rather than hier­ar­chi­cal terms?
  • What does it take for me to be able to take on lea­der­ship in my envi­ron­ment in a cou­ra­ge­ous and respon­si­ble way?
  • How do I expe­ri­ence my lea­der­ship atti­tu­de when navi­ga­ting bet­ween tried and tes­ted pro­ces­ses and new, still uncer­tain methods?
  • What role can AI agents play as addi­tio­nal actors in lea­der­ship pro­ces­ses, and how does this chan­ge our atti­tu­de to lea­der­ship?

Tar­get group:
Deans, lec­tu­r­ers, stu­dents from various facul­ties; repre­sen­ta­ti­ves from admi­nis­tra­ti­on and sup­port; exter­nal stake­hol­ders (e.g. alum­ni, prac­ti­ce part­ners); AI agents as reflec­tion and feed­back part­ners
Aim of the method:
In future, the LU will rely on a sys­te­ma­ti­cal­ly ori­en­ted cir­cle method: the AAEL Peer-to-Peer Lea­der­ship Cir­cle (working title: Ambidextrie4me[1]). The method is based on a sys­te­mic approach in which small groups (4 to 5 peo­p­le) deve­lop their lea­der­ship skills tog­e­ther and app­ly them in prac­ti­ce on a regu­lar basis.

Inte­gra­ted lea­der­ship can be lear­ned par­ti­cu­lar­ly well in small groups becau­se all par­ti­ci­pan­ts are actively invol­ved and mutu­al lear­ning is expe­ri­en­ced direct­ly through reflec­tion and feed­back. Each per­son takes on the role of both coach and coa­ched per­son. This crea­tes a pro­tec­ted space, pro­mo­tes trust and at the same time offers fast, ite­ra­ti­ve lear­ning cycles, which are essen­ti­al for agi­le and ambi­dex­trous organizations. 

The “AAEL Cir­cle” method starts with a clear focus on the AAEL-prin­ci­ples and -values and con­sists of the fol­lo­wing phases:

Step 1 — Determining the location (Being AAEL)
  • Joint cla­ri­fi­ca­ti­on of per­so­nal lea­der­ship atti­tu­de
  • Sha­ring per­so­nal expe­ri­en­ces and chal­lenges with agi­le and ambi­dex­trous lea­der­ship
  • Reflec­ting on your own atti­tu­de towards respon­si­bi­li­ty, open­ness, trust and feed­back culture
Step 2 — Peer-Coaching (Doing AAEL)
  • Cir­cle mee­tings every 1 to 2 weeks
  • Mutu­al sup­port in deal­ing with spe­ci­fic lea­der­ship issues (e.g. deal­ing with resis­tance in chan­ge pro­ces­ses, cla­ri­fy­ing respon­si­bi­li­ties in the use of AI)
Step 3 — AI agents as complementary reflection partners
AI agents as supplementary reflection partners
  • AI agents deli­bera­te­ly ask cri­ti­cal ques­ti­ons and reflect pos­si­ble “lea­der­ship bia­ses” of the participants
  • Reflec­tion on the effects on lea­der­ship atti­tu­de and prac­ti­cal cooperation
  • 🏷️ Additions and comments (integrative perspective)
    • Lea­der­ship at LU expli­cit­ly means dis­tri­bu­ting respon­si­bi­li­ty and mana­ging chan­ge pro­ces­ses across many should­ers and con­scious­ly acting in an agi­le and ambi­dex­trous manner.
    • AI agents are not just hel­pers, but con­scious­ly inte­gra­ted reflec­tion part­ners to cri­ti­cal­ly reflect on lea­der­ship decisions.
    • The method crea­tes emer­gent frame­work con­di­ti­ons that actively sup­port and pro­mo­te the deve­lo­p­ment of an AAEL culture.
    💡 Summary

    The intro­duc­tion of the AAEL Peer-to-Peer Lea­der­ship Cir­cle (Ambidextrie4me[1]) sup­ports the Lear­ning Uni­ver­si­ty in deve­lo­ping inte­gra­ted lea­der­ship as a shared respon­si­bi­li­ty and atti­tu­de (Being AAEL) and as a con­cre­te, agi­le prac­ti­ce (Doing AAEL) in equal mea­su­re. Small, safe groups sys­te­ma­ti­cal­ly learn what shared lea­der­ship looks like, which is essen­ti­al in times of ambi­dex­teri­ty, agi­li­ty and digi­tal trans­for­ma­ti­on – and how new play­ers such as AI agents can also be con­scious­ly integrated. 

    Focus 6: Being (pink)

    📍 Background and initial situation at the Learning University (LU)

    Die Lear­ning Uni­ver­si­ty (LU) hat sich zum Ziel gesetzt, nicht allein agi­le und ambi­dext­re Metho­den und Struk­tu­ren zu imple­men­tie­ren (Doing AAEL), son­dern auch dar­auf, eine tief ver­an­ker­te Hal­tung mit zu den­ken, die die­se Prak­ti­ken erst wirk­sam macht und die sich wie­der­um erst aus dem Prak­ti­zie­ren von AAEL, also einem Doing AAEL, ergibt – das Being AAEL. Dabei geht es um mehr als blo­ße Kom­pe­tenz­ent­wick­lung: Being AAEL bedeu­tet, eine reflek­tier­te, wer­te­ba­sier­te und resi­li­en­te Grund­hal­tung zu kul­ti­vie­ren, die es Hoch­schul­an­ge­hö­ri­gen ermög­licht, in kom­ple­xen Kon­tex­ten sou­ve­rän zu han­deln.

    While many uni­ver­si­ties focus stron­gly on know­ledge trans­fer and metho­do­lo­gi­cal excel­lence, the addi­tio­nal importance of self-reflec­tion, coa­ching and per­so­nal deve­lo­p­ment is often negle­c­ted. But wit­hout a con­scious atti­tu­de, even the best methods can­not have a las­ting effect. Being AAEL the­r­e­fo­re focu­ses on sti­mu­la­ting inner work among all actors for self-orga­niza­ti­on, sys­te­mic reflec­tion and dia­lo­gi­cal deve­lo­p­ment pro­ces­ses.

    The LU con­scious­ly pro­mo­tes this atti­tu­de through coa­ching, peer coa­ching and reflec­tion for­mats in order to anchor AAEL not only as an orga­niza­tio­nal model, but also as the per­so­nal prac­ti­ce of its members.

    🏷️ This happens at all levels:
    • Micro level: Indi­vi­du­al reflec­tion and per­so­nal ambi­dex­teri­ty of stu­dents, tea­ching staff, admi­nis­tra­ti­ve staff and rese­ar­chers as well as mana­gers in dea­ne­ries and the Exe­cu­ti­ve Board.
    • Meso-level: peer coa­ching, col­le­gi­al coun­seling for­mats and inter­di­sci­pli­na­ry reflec­tion spaces.
    • Macro level: Uni­ver­si­ty-wide struc­tures that enable a cul­tu­re of sys­te­ma­tic reflec­tion and value-based deve­lo­p­ment — inclu­ding exter­nal stake­hol­ders and mem­bers of committees.
    💭 Fictitious situation as a case study at the LU
    🎉 Outline of a method for application as an exemplary procedure variant:
    AAEL Peer-to-Peer-Leadership-Circle („AAEL-Circle“-method) #Ambidextrie4me[1]
    — Reflection as the key to AAEL (micro & meso level) 
    LU has begun to intro­du­ce agi­le and ambi­dex­trous methods. For exam­p­le, Kan­ban is being tes­ted in admi­nis­tra­ti­ve pro­ces­ses, design thin­king and Scrum are being imple­men­ted in pro­ject semi­nars with stu­dents, and rese­arch cllus­ters are adap­ting agi­le pro­ject manage­ment methods for their own use. Howe­ver, it is beco­ming appa­rent that not all tho­se invol­ved are com­for­ta­ble with this or imme­dia­te­ly reco­gni­ze hthe bene­fits. Misun­derstan­dings ari­se time and again, espe­ci­al­ly in inter­di­sci­pli­na­ry pro­jects – whea­ther due to dif­fe­rent expec­ta­ti­ons, working styl­es, or the pres­su­re to achie­ve results quick­ly. In addi­ti­on, tra­di­tio­nal pat­terns such as making the next steps depen­dent on decis­i­ons and hier­ar­chi­cal respon­si­bi­li­ties or working night shifts befo­re dead­lines for rese­arch pro­po­sals or publi­ca­ti­ons are deep­ly ent­ren­ched. Espe­ci­al­ly in retro­s­pec­ti­ves , mis­trust can still be felt here and the­re.

    In an inter­di­sci­pli­na­ry rese­arch pro­ject on sus­tainable digi­ta­liza­ti­on, pro­fes­sors from the engi­nee­ring sci­en­ces, social sci­en­ces and the Facul­ty of Busi­ness and Eco­no­mics come tog­e­ther. After initi­al eupho­ria, it beco­mes clear that the com­mu­ni­ca­ti­on and decis­i­on-making pro­ces­ses are not as smooth as expec­ted. While some pre­fer a quick ite­ra­ti­ve approach, others want to dis­cuss fun­da­men­tal con­cepts first.

    Dr. Aylin Ber­ger, pro­ject mana­ger from the Facul­ty of Sus­taina­bi­li­ty Sci­en­ces, notes:
    “We have adopted many methods, but have we actual­ly reflec­ted on our own atti­tu­de? How do we deal with uncer­tain­ties? How do we deal with dif­fe­rent expec­ta­ti­ons? And whe­re does our need for quick or tho­rough decis­i­ons actual­ly come from?” 
    AAEL principles of action: Integrated Leadership in Education & Values-based Action for Sustainable Higher Education 

    Being AAEL mani­fests its­elf in a con­scious reflec­tion on one’s own values, decis­i­on-making pro­ces­ses and sys­te­mic dynamics.

    🔗 Systemic questions for reflection
    • How con­scious­ly do we reflect on our own atti­tu­de when deal­ing with com­plex and dyna­mic challenges?
    • To what ext­ent can I dif­fe­ren­tia­te bet­ween my per­spec­ti­ve as a per­son and in my role? Whe­re do I draw boundaries? 
    • How do we deal with uncer­tain­ties and ten­si­ons in inter­di­sci­pli­na­ry teams?
    • What sys­te­mic fac­tors shape our own beha­vi­or and decis­i­on-making processes?
    • How do we pro­mo­te spaces for per­so­nal deve­lo­p­ment, self-orga­niza­ti­on and peer reflec­tion at the uni­ver­si­ty – for the bene­fit of the indi­vi­du­al and the organization?
    🎉 Outline of a method for application as an exemplary procedure variant:
    AAEL-Peer-Coaching-Circle #Ambidextrie4me[1]

    Tar­get group:
    Uni­ver­si­ty mem­bers from various facul­ties and sta­tus groups (stu­dents, tea­ching staff, admi­nis­tra­ti­on, rese­ar­chers); mode­ra­ted peer coa­ching group (4 – 5 peo­p­le per cir­cle); reflec­tion part­ners from other disci­pli­nes or with other per­spec­ti­ves.
    Aim of the method:
    Struc­tu­red, peer-based reflec­tion on per­so­nal deve­lo­p­ment pro­ces­ses in the uni­ver­si­ty con­text in order to actively expe­ri­ence Being AAEL.

    Step1 — Clarification of personal development concerns (Being AAEL)
    • Each par­ti­ci­pant for­mu­la­tes a ques­ti­on or con­cern for per­so­nal or pro­fes­sio­nal deve­lo­p­ment (e.g. “How can I impro­ve my decis­i­on-making skills in uncer­tain situations?”).
    • The group lis­tens actively and asks sys­te­mic ques­ti­ons for reflection.
    Step 2 — Peer reflection and change of perspective (Doing AAEL)
    • Par­ti­ci­pan­ts share expe­ri­en­ces and obser­va­tions from their own practice.
    • Reflec­tion on pat­terns, decis­i­on paths and alter­na­ti­ve cour­ses of action.
    • Joint deve­lo­p­ment of small expe­ri­men­tal steps for prac­ti­cal application.
    Step 3 — Individual commitments and feedback (Being & Doing AAEL)
    • Each par­ti­ci­pant for­mu­la­tes con­cre­te steps for imple­men­ta­ti­on and records them.
    • Regu­lar check-ins at later mee­tings to reflect on lear­ning progress.
    AAEL principles of action: Social Responsibility and Educational Mission & Sovereign Agility in Education 

    Being AAEL means actively exami­ning your own atti­tu­de and making con­scious, value-ori­en­ted decisions.

    💡 Summary

    Being AAEL is not an abs­tract idea, but a lived prac­ti­ce: through peer coa­ching, reflec­tion and a con­scious exami­na­ti­on of their own atti­tu­de, uni­ver­si­ty mem­bers learn to act con­fi­dent­ly as indi­vi­du­als and in their roles in dyna­mic and com­plex con­texts. LU con­scious­ly anchors Being AAEL as an inte­gral part of the uni­ver­si­ty cul­tu­re – not as an iso­la­ted mea­su­re, but as a con­ti­nuous deve­lo­p­ment pro­cess that is inte­gra­ted into ever­y­day prac­ti­ces, struc­tures and decis­i­on-making pro­ces­ses. In this way, Being AAEL con­tri­bu­tes to under­stan­ding agi­li­ty, ambi­dex­teri­ty and lea­der­ship not only as metho­do­lo­gi­cal tools, but to ancho­ring them as a reflec­ted, con­scious way of acting in post-digi­tal uni­ver­si­ty practice. 

    Focus 7: Organization (light violet) 

    📍 Background and initial situation at the Learning University (LU)

    The Lear­ning Uni­ver­si­ty (LU) is awa­re that uni­ver­si­ties ope­ra­te as loo­se­ly cou­pled sys­tems: Facul­ties, admi­nis­tra­ti­on, tea­ching and rese­arch are often orga­ni­zed inde­pendent­ly, but are intert­wi­ned at the same time. Tra­di­tio­nal gover­nan­ce struc­tures are often not fle­xi­ble enough to deal with the incre­asing com­ple­xi­ty and dyna­mics of edu­ca­ti­on, rese­arch and social demands.

    The cen­tral chall­enge for a uni­ver­si­ty that is ori­en­ted towards the AAEL frame­work is to enable ambi­dex­teri­ty (inno­va­ti­on vs. sta­bi­li­ty) not only in indi­vi­du­al pro­ces­ses or pro­jects, but in the enti­re uni­ver­si­ty struc­tu­re as a con­tex­tu­al orga­niza­tio­nal ambi­dex­teri­ty. It requi­res spaces for expe­ri­men­ta­ti­on as well as clear, relia­ble frame­work con­di­ti­ons that sup­port agi­li­ty, par­ti­ci­pa­ti­on and sus­tainable decis­i­on-making processes. 

    ⚓️ This raises important questions:
    • How can a uni­ver­si­ty as an orga­niza­ti­on navi­ga­te con­fi­dent­ly bet­ween sta­bi­li­ty and change?
    • Which power and decis­i­on-making struc­tures pro­mo­te or inhi­bit par­ti­ci­pa­ti­ve, agi­le and ambi­dex­trous orga­niza­tio­nal development?
    • How can cen­tra­li­zed and decen­tra­li­zed con­trol be com­bi­ned in such a way that they streng­then the over­all orga­niza­ti­on ins­tead of crea­ting new silos?
    • How can phy­si­cal and digi­tal orga­niza­tio­nal struc­tures com­ple­ment each other in a post-digi­tal uni­ver­si­ty?
    💭 Fictitious situation as a case study at the LU
    — Centralized vs. decentralized control – who decides what?
    (macro & meso level, with effects at micro level) 
    At the LU, a stra­te­gic ques­ti­on is coming to a head: should cen­tral con­trol mecha­nisms (uni­ver­si­ty manage­ment, cen­tral admi­nis­tra­ti­on) be streng­the­ned or should facul­ties and tea­ching staff be given more inde­pen­dent decis­i­on-making free­dom?

    A con­cre­te exam­p­le of this is the digi­tal infra­struc­tu­re: while the cen­tral IT depart­ment wants to estab­lish a uni­form plat­form for digi­tal tea­ching and rese­arch, facul­ties pre­fer decen­tra­li­zed, sub­ject-spe­ci­fic solu­ti­ons. Stu­dents, on the other hand, demand more fle­xi­bi­li­ty and open­ness.

    In a mee­ting of the uni­ver­si­ty manage­ment, Vice-Rec­tor for Digi­ta­liza­ti­on Dr. Sen­ta Klein argues:
    “We need a com­pre­hen­si­ve digi­tal infra­struc­tu­re to ensu­re sus­taina­bi­li­ty and data secu­ri­ty. If every facul­ty has its own solu­ti­on, it won’t be sus­tainable in the long term.”

    Dean Hen­rik Meiss­ner from the Facul­ty of Busi­ness and Eco­no­mics dis­agrees:
    “But if ever­y­thing is cen­tra­li­zed, we lose the abili­ty to react agi­le­ly to new deve­lo­p­ments. Inno­va­ti­on often ari­ses in the spe­cia­list cul­tu­re – we have to enable that.”

    Lisa Bites, spo­kesper­son for the Digi­tal Lab, brings a new per­spec­ti­ve:
    “May­be it’s not a ques­ti­on of either/or. The ques­ti­on is: how can we design our orga­niza­ti­on in such a way that we com­bi­ne sta­bi­li­ty and fle­xi­bi­li­ty?”

    aThe uni­ver­si­ty manage­ment then deci­des to car­ry out a sys­te­mic orga­niza­tio­nal ana­ly­sis with all stake­hol­ders. This should help to make the actu­al struc­tu­re of LU visi­ble – and to find out whe­re cen­tra­li­zed or decen­tra­li­zed solu­ti­ons make sense. 
    AAEL principle of action: Bridging the duality of exploration and exploitation 

    Orga­niza­tio­nal ambi­dex­teri­ty means that uni­ver­si­ties crea­te struc­tures for sta­bi­li­ty and at the same time spaces for innovation.

    🔗 Systemic questions for reflection
    • How do the stake­hol­ders expe­ri­ence the cur­rent orga­niza­ti­on of the uni­ver­si­ty in terms of gover­nan­ce, dis­tri­bu­ti­on of power and decis­i­on-making processes?
    • How trans­pa­rent are LU’s cur­rent decis­i­on-making pro­ces­ses – and how could this trans­pa­ren­cy be fur­ther improved?
    • Whe­re do ten­si­ons ari­se bet­ween our cen­tra­li­zed and decen­tra­li­zed struc­tures – and why?
    • Which decis­i­on-making pro­ces­ses are alre­a­dy agi­le, par­ti­ci­pa­ti­ve or ambi­dex­trous?
    • How can phy­si­cal and digi­tal orga­niza­tio­nal struc­tures be sen­si­bly combined?
    • What alter­na­ti­ve models to tra­di­tio­nal uni­ver­si­ty gover­nan­ce could be explored?
    🎉Outline of a method for application as an exemplary procedure variant: AAEL Organization Charter – Reflection & shaping the future

    Tar­get group:
    Uni­ver­si­ty manage­ment, deans, admi­nis­tra­ti­ve staff, tea­ching staff, stu­dents; exter­nal experts as “cri­ti­cal fri­ends”; AI agents as reflec­tion part­ners for digi­tal pat­tern reco­gni­ti­on
    Aim of the method:
    Sys­te­ma­tic reflec­tion on the deve­lo­p­ment of LU as an orga­niza­ti­on in order to make struc­tures, decis­i­on-making pro­ces­ses and cul­tures visi­ble and adaptive.

    🧭 Task: Develop an AAEL organizational charter

    Use the ques­ti­ons along the three steps.

    Step 1 — Review of the development of the organization (“Where do we come from”) (Being AAEL)
    • Whe­re do we come from? What cen­tral struc­tures and decis­i­on-making pro­ces­ses have shaped LU to date? 
    • What his­to­ri­cal deve­lo­p­ments have shaped our orga­niza­tio­nal structure?
    • AI-sup­port­ed pat­tern ana­ly­sis: What pat­terns in decis­i­on-making pro­ces­ses can be iden­ti­fied over the last few years?
    • How have we over­co­me obs­ta­cles so far? What were the strengths for success? 
    Step 2 — Making the present visible (“Where do we stand?”) (Doing AAEL)
    • What power and decis­i­on-making struc­tures curr­ent­ly cha­rac­te­ri­ze LU?
    • How do dif­fe­rent LU stake­hol­ders expe­ri­ence the orga­niza­tio­nal cul­tu­re? How do I expe­ri­ence it? 
    • What are the are­as of ten­si­on bet­ween cen­tra­li­zed and decen­tra­li­zed processes?
    • Whe­re are we curr­ent­ly expe­ri­en­cing strengths and whe­re do we alre­a­dy see weaknesses?
    • What exis­ting rou­ti­nes or struc­tu­ral iner­tia could inhi­bit our abili­ty to inno­va­te? Which posi­ti­ve prac­ti­ces, on the other hand, should we con­scious­ly preserve? 
    Step 3 — Future perspectives (“Where do we want to go?”) (Being & Doing AAEL)
    • What known strengths can help us to con­ti­nue to be suc­cessful in the future?
    • What new forms of gover­nan­ce and decis­i­on-making could be tried out?
    • What struc­tu­ral adjus­t­ments does LU need in order to be a balan­ced ambi­dex­trous orga­niza­ti­on? How does an #ambidextrie4us[1] suc­ceed?
    • How can hybrid, digi­tal and phy­si­cal struc­tures be intel­li­gent­ly interlinked?
    • Which inter­di­sci­pli­na­ry per­spec­ti­ves should we expli­cit­ly include in order to com­bi­ne both sub­ject cul­tures and uni­ver­si­ty-wide stra­te­gic goals?
    AAEL principles of action: Integrated Leadership in Education & Values-based Action for Sustainable Higher Education 

    A sus­tainable uni­ver­si­ty orga­niza­ti­on is crea­ted through con­scious­ly desi­gned, sys­te­mic chan­ge processes.

    💡 Summary

    The Lear­ning Uni­ver­si­ty reco­gni­zes that its orga­niza­ti­on is not sta­tic, but deve­lo­ps as an emer­gent sys­tem. By sys­te­ma­ti­cal­ly reflec­ting on past, cur­rent and future orga­niza­tio­nal pat­terns, both tra­di­tio­nal decis­i­on-making paths beco­me visi­ble and new, par­ti­ci­pa­to­ry manage­ment models can be expe­ri­en­ced.

    The com­bi­na­ti­on of sys­te­mic orga­niza­tio­nal ana­ly­sis and a dia­lo­gi­cal orga­niza­tio­nal char­ter makes it pos­si­ble to mana­ge the ten­si­on bet­ween cen­tral con­trol and decen­tra­li­zed fle­xi­bi­li­ty with con­fi­dence. AI agents pro­vi­de sup­port as ana­ly­ti­cal reflec­tion part­ners and help to iden­ti­fy hid­den pat­terns in uni­ver­si­ty-wide decis­i­on-making pro­ces­ses.

    This means that the orga­niza­ti­on is not just thought of as a sys­tem with struc­tures, but as an emer­gent inter­play of cul­tu­re, pro­ces­ses and play­ers — a dyna­mic eco­sys­tem that con­ti­nues to deve­lop with and through all tho­se involved.

    Focus 8: Doing (purple)

    📍 Background and initial situation at the Learning University (LU)

    The Lear­ning Uni­ver­si­ty (LU) has deci­ded to under­stand agi­le, ambi­dex­trous and par­ti­ci­pa­to­ry prin­ci­ples not only as a theo­re­ti­cal model, but also to inte­gra­te them into ever­y­day uni­ver­si­ty life. Doing AAEL refers to the sys­te­ma­tic imple­men­ta­ti­on of the­se prin­ci­ples through methods, struc­tures and prac­ti­ces that enable sus­tainable chan­ge in uni­ver­si­ty pro­ces­ses.

    While Being AAEL encom­pas­ses atti­tu­de, reflec­tion and values, Doing AAEL ensu­res that the­se values are trans­fer­red into dai­ly work pro­ces­ses, decis­i­on-making struc­tures and tea­ching and lear­ning set­tings. The cen­tral chall­enge here is ancho­ring agi­le and ambi­dex­trous ways of working in a high­ly com­plex, often frag­men­ted orga­niza­ti­on such as a uni­ver­si­ty. Indi­vi­du­al and orga­niza­tio­nal lear­ning is an important part of this. Tog­e­ther with AAEL-Being, an AAEL cul­tu­re can deve­lop, which can also be sum­ma­ri­zed as a com­mon AAEL lear­ning cul­tu­re depen­ding on the situa­ti­on.

    The LU stra­tegy reviews cle­ar­ly show that AI agents are alre­a­dy invol­ved in admi­nis­tra­ti­ve pro­ces­ses as well as in tea­ching and rese­arch – but to vary­ing degrees. While they are used as auto­ma­ted feed­back sys­tems in some facul­ties, they ser­ve as lear­ning and plan­ning assistants in other are­as.

    LU reli­es on a sys­te­ma­tic com­bi­na­ti­on of dif­fe­rent methods to enable both long-term stra­te­gic goals and short-term adjus­t­ment processes.

    🏷️ Doing AAEL is visible at all levels:
    • Micro level: Agi­le tea­ching and lear­ning methods, ite­ra­ti­ve exami­na­ti­on for­mats, adap­ti­ve feed­back processes.
    • Meso-level: agi­le gover­nan­ce, facul­ty sprints, inter­di­sci­pli­na­ry pro­ject formats.
    • Macro level: uni­ver­si­ty-wide review cycles, agi­le manage­ment models, stra­te­gic ambidexterity.
    💭 Fictitious situation as a case study at the LU
    — Systematic integration of Doing AAEL (micro & meso level) 
    In recent years, LU has tried out various agi­le and expe­ri­men­tal methods – from design sprints in tea­ching to agi­le manage­ment pro­ces­ses in admi­nis­tra­ti­on. Howe­ver, it is clear that the­se approa­ches often remain iso­la­ted. While some facul­ties have made gre­at pro­gress, others have encoun­te­red resis­tance or only imple­men­ted indi­vi­du­al ele­ments.

    A cen­tral pro­blem beco­mes clear in a uni­ver­si­ty-wide stra­tegy review: “How can a con­sis­tent but fle­xi­ble imple­men­ta­ti­on of Doing AAEL be ensu­red so that all uni­ver­si­ty depart­ments bene­fit?”

    Dean Hen­rik Meiss­ner addres­ses the area of ten­si­on:
    “We see a lot of posi­ti­ve momen­tum, but at the same time imple­men­ta­ti­on remains frag­men­ted. Some facul­ties make inten­si­ve use of agi­le tea­ching methods, while others have hard­ly any points of cont­act. How can we mana­ge to anchor AAEL in a struc­tu­red yet fle­xi­ble way – espe­ci­al­ly if we want to work tog­e­ther in an agi­le way and not side by side?”

    The Pro-Rec­tor for Stu­dies and Tea­ching, Nakoa Laux, adds:
    “We lack com­pre­hen­si­ve expe­ri­men­ta­ti­on and sca­ling pro­ces­ses. Doing AAEL means that we not only test indi­vi­du­al prac­ti­ces, but also deve­lop a con­sis­tent, ite­ra­ti­ve stra­tegy in order to real­ly anchor agi­le and ambi­dex­trous working methods across the board, step by step.” 
    AAEL principles of action: Sovereign Agility in Education & Integrated Leadership in Education 

    Doing AAEL means sys­te­ma­ti­cal­ly estab­li­shing agi­le, adap­ti­ve and sus­tainable uni­ver­si­ty practices

    🔗 Systemic questions for reflection
    • Which methods and prac­ti­ces of Doing AAEL are alre­a­dy being used suc­cessful­ly at our university?
    • Whe­re are the­re chal­lenges or resis­tance to sys­te­ma­tic implementation?
    • To what ext­ent do prin­ci­ples and values influence the prac­ti­cal imple­men­ta­ti­on of Doing AAEL in uni­ver­si­ty structures?
    • How can AI agents be meaningful­ly inte­gra­ted as adap­ti­ve reflec­tion and ana­ly­sis tools for agi­le uni­ver­si­ty development?
    • How can we con­sis­t­ent­ly trans­fer agi­le and ambi­dex­trous prin­ci­ples into struc­tures and processes?
    • What review mecha­nisms do we need to anchor Doing AAEL in the long term?
    • How do we deal with this if we now want to work with roles? And how do we deal with pre­vious func­tions and tra­di­tio­nal positions? 
    • How can the phy­si­cal and digi­tal dimen­si­ons of Doing AAEL be meaningful­ly com­bi­ned in collaboration?
    🎉 Outline of a method for application as an exemplary procedure variant:
    AAEL implementation cycle

    Tar­get group:
    Uni­ver­si­ty manage­ment; facul­ty repre­sen­ta­ti­ves; admi­nis­tra­ti­on; stu­dent repre­sen­ta­ti­ves; agi­le coa­ches; AI agents and exter­nal part­ners as “cri­ti­cal fri­ends”.
    Aim of the method:
    Struc­tu­red, ite­ra­ti­ve imple­men­ta­ti­on of Doing AAEL in uni­ver­si­ty struc­tures and pro­ces­ses. Lear­ning AAEL while start­ing and doing AAEL

    Step 1 — analysis phase (Being AAEL)
    • Sur­vey of exis­ting Doing AAEL methods at the university.
    • Iden­ti­fi­ca­ti­on of suc­cess fac­tors and resistance.
    • Inte­gra­ti­on of AI agents to ana­ly­ze pat­terns in uni­ver­si­ty-wide manage­ment and decis­i­on-making processes.
    Step 2 — Experimental phase (Doing AAEL)
    • Imple­men­ta­ti­on of con­cre­te ite­ra­ti­ve mea­su­res in indi­vi­du­al facul­ties or admi­nis­tra­ti­ve areas.
    • Test­ing new methods and con­trol mechanisms.
    Step 3 — Review & Adaptation (Being & Doing AAEL)
    • Uni­ver­si­ty-wide reflec­tion on the expe­ri­ments and deri­va­ti­on of sca­lable measures.
    • Adapt­a­ti­on of exis­ting struc­tures to inte­gra­te suc­cessful practices.
    • AI agents pro­vi­de data-based feed­back ana­ly­ses to opti­mi­ze agi­le management.
    AAEL principles of action: Values-based action for sustainable higher education & bridging the duality of exploration and exploitation 

    Doing AAEL is not a one-off initia­ti­ve, but a con­ti­nuous, ite­ra­ti­ve pro­cess of uni­ver­si­ty development.

    Doing AAEL hängt unmit­tel­bar mit ande­ren Ele­men­ten zusammen:

    • Being AAEL: Wit­hout a value-ori­en­ted, reflec­ti­ve atti­tu­de, agi­le methods are ineffective.
    • Ambi­dex­teri­ty: Doing AAEL means both opti­mi­zing what alre­a­dy exists and explo­ring new paths.
    • AAEL-cul­tu­re: Doing AAEL prac­ti­ces con­tri­bu­te direct­ly to the deve­lo­p­ment of an emer­gent AAEL cul­tu­re.
    • Prin­ci­ples: Doing AAEL is based on cle­ar­ly defi­ned prin­ci­ples, not rigid rules.
    💡 Summary

    Doing AAEL means sys­te­ma­ti­cal­ly inte­gra­ting agi­le, ambi­dex­trous and adap­ti­ve methods into ever­y­day uni­ver­si­ty life. The LU reli­es on an ite­ra­ti­ve imple­men­ta­ti­on cycle that com­bi­nes reflec­tion, expe­ri­men­ta­ti­on and struc­tu­ral adapt­a­ti­on in an ongo­ing lear­ning pro­cess. AI agents are spe­ci­fi­cal­ly inte­gra­ted as reflec­tion part­ners in order to sup­port data-based decis­i­on-making pro­ces­ses. In this way, Doing AAEL is not limi­t­ed to indi­vi­du­al pilot pro­jects, but estab­lished as an inte­gra­ti­ve stra­tegy for a sus­tainable uni­ver­si­ty cul­tu­re. It is essen­ti­al that Doing AAEL deve­lo­ps during the imple­men­ta­ti­on of AAEL and does not have to be lear­ned beforehand. 

    Focus 9: Person (violet)

    📍 Background and initial situation at the Learning University (LU)

    The Lear­ning Uni­ver­si­ty (LU) is awa­re that indi­vi­du­al ambi­dex­teri­ty – the per­so­nal abili­ty to embrace the new (explo­ra­ti­on) and at the same time retain or let go of the tried and tes­ted (explo­ita­ti­on) – is an essen­ti­al com­pe­tence in dyna­mic, com­plex envi­ron­ments.
    While orga­niza­ti­ons can adapt struc­tu­ral­ly, the real chall­enge remains at a per­so­nal level: All uni­ver­si­ty mem­bers – from tea­chers and admi­nis­tra­ti­ve staff to stu­dents and uni­ver­si­ty manage­ment – must indi­vi­du­al­ly find ways to deal con­fi­dent­ly with uncer­tain­ties, ten­si­ons and mul­ti­ple demands.

    Special challenges for various stakeholders

    Indi­vi­du­al or per­so­nal ambi­dex­teri­ty poses dif­fe­rent chal­lenges for dif­fe­rent uni­ver­si­ty groups:

    • Long-stan­ding uni­ver­si­ty staff (e.g. tea­ching staff, admi­nis­tra­ti­ve staff) often face the dif­fi­cul­ty of ques­tio­ning exis­ting rou­ti­nes and actively inte­gra­ting new things.
      Tea­chers & rese­ar­chers are used to deal­ing with new things, but they also face the chall­enge of not get­ting lost in con­stant explo­ra­ti­on or being slo­wed down by admi­nis­tra­ti­ve requi­re­ments.
      Stu­dents & aca­de­mic staff have to move bet­ween inno­va­ti­on and estab­lished aca­de­mic struc­tures and learn to streng­then their own abili­ty to act in this area of ten­si­on.
      Uni­ver­si­ty manage­ment & gover­nan­ce actors need per­so­nal ambi­dex­teri­ty in order to con­fi­dent­ly weigh up opti­miza­ti­on and inno­va­ti­on in stra­te­gic decisions.
    How can university members at all levels consciously develop their personal ambidexterity?

    At LU, the idea of using an AAEL peer coa­ching for­mat — e.g. #Ambidextrie4me[1] – emer­ges, which sup­ports indi­vi­du­als in sys­te­ma­ti­cal­ly and ite­ra­tively reflec­ting on per­so­nal deve­lo­p­ment pro­ces­ses and coa­ching each other.

    💭 Fictitious situation as a case study at the LU
    — Developing personal ambidexterity (meso & micro level) 
    “How can I stay fle­xi­ble wit­hout losing mys­elf?”
    Pro­fes­sor Dr. Cla­ra Roth has been tea­ching eco­no­mics at LU for 15 years. She is an expert in her field, but with incre­asing digi­ta­liza­ti­on, the intro­duc­tion of new exami­na­ti­on for­mats and the chan­ging expec­ta­ti­ons of stu­dents, she is fee­ling gro­wing pres­su­re. What to keep, what to let go of, what to pick up again?

    Tho­mas Ber­ger, a long-stan­ding employee in the Exami­na­ti­ons Office, faces simi­lar chal­lenges in the admi­nis­tra­ti­ve area:
    Digi­tal pro­ces­ses and AI-sup­port­ed assis­tance sys­tems are chan­ging his dai­ly work, but he is unsu­re how he can shape his own role in this chan­ge.

    “We talk about chan­ge all the time, but whe­re is our indi­vi­du­al approach to it?”
    he asks at a facul­ty mee­ting.

    The dis­cus­sion shows that per­so­nal ambi­dex­teri­ty is not just an indi­vi­du­al issue, but a coll­ec­ti­ve one.

    The LU then deci­des to launch a new coa­ching for­mat as an expe­ri­ment:
    #Ambidextrie4me – a peer coa­ching cir­cle that net­works uni­ver­si­ty mem­bers across facul­ty and func­tion­al boun­da­ries and sup­ports them in deve­lo­ping their per­so­nal ambidexterity. 
    AAEL principles of action: Values-based action for sustainable higher education & Sovereign agility in education 

    Per­so­nal ambi­dex­teri­ty is a key com­pe­tence for deal­ing with com­plex chan­ge processes.

    🔗 Systemic questions for reflection
    • How do I per­cei­ve chan­ge – as a chall­enge, a thre­at or an opportunity?
    • What rou­ti­nes or ways of thin­king might be hol­ding me back?
    • How do I balan­ce explo­ra­ti­on (taking on some­thing new) and explo­ita­ti­on (opti­mi­zing the tried and tested)?
    • What sup­port do I need to deal with uncer­tain­ty and chan­ge with confidence?
    • How can I actively con­tri­bu­te to a con­s­truc­ti­ve cul­tu­re of chan­ge in my own role?
    🎉Outline of a method for application as an exemplary procedure variant:
    The AAEL-Peer-Coaching-Circle

    Ziel­grup­pe:
    Leh­ren­de, Ver­wal­tungs­per­so­nal, Stu­die­ren­de, For­schen­de (fakul­täts­über­grei­fend gemischt);
    4 – 5 Per­so­nen pro Cir­cle, beglei­tet von einer erfah­re­nen Mode­ra­ti­on oder selbst­or­ga­ni­siert.; KI-Agen­t_in­nen als digi­ta­le Reflexionspartner_innen.
    Ziel der Metho­de:
    Hoch­schul­an­ge­hö­ri­ge ent­wi­ckeln in einem struk­tu­rier­ten, kol­le­gia­len Refle­xi­ons­pro­zess ihre per­sön­li­che Ambi­dex­trie – indem sie eige­ne Her­aus­for­de­run­gen sys­te­ma­tisch bear­bei­ten und sich gegen­sei­tig unterstützen. 

    Step 1 — Kick-off & clarification of objectives (Being AAEL)
    • Each per­son for­mu­la­tes their indi­vi­du­al ambi­dex­teri­ty chall­enge (e.g. “How can I beco­me more digi­tal wit­hout fee­ling over­whel­med by new tools?”).
    • The group choo­ses a focus topic for the first sessions.
    Step 2 — Collegial case consultation (Doing AAEL)
    • One per­son descri­bes their con­cerns, the others lis­ten and ask sys­te­mic questions.
    • Exch­an­ge about per­so­nal pat­terns, resis­tance and opportunities.
    Step 3 — Change of perspective & solutions (Being & Doing AAEL)
    • Joint deve­lo­p­ment of new ways of thin­king and acting.
    • Feed­back from the group and AI agents that gene­ra­te alter­na­ti­ve reflec­tion impulses.
    Step 4 — Commitments & Follow-up
    • Each par­ti­ci­pant defi­nes a spe­ci­fic micro-inter­ven­ti­on for their own ever­y­day life.
    • In the next ses­si­on we will reflect:
      What has chan­ged? What has work­ed? What did not? 
    AAEL principles of action: Integrated Leadership in Education & Bridging the Duality of Exploration and Exploitation 

    Ambi­dex­teri­ty beg­ins at a per­so­nal level – through reflec­tion, expe­ri­men­ta­ti­on and con­ti­nuous learning.

    💡 Summary

    The Lear­ning Uni­ver­si­ty reco­gni­zes that per­so­nal ambi­dex­teri­ty is a cen­tral key to agi­li­ty and chan­ge. #Ambidextrie4me[1] offers uni­ver­si­ty mem­bers a struc­tu­red oppor­tu­ni­ty to reflect on their indi­vi­du­al approach to chan­ge, to try out con­cre­te steps and to sup­port each other.

    AAEL is unders­tood not only as an orga­niza­tio­nal con­cept, but also as a per­so­nal deve­lo­p­ment pro­cess that is con­ti­nuous­ly tes­ted and ite­ra­tively impro­ved.

    Through peer coa­ching, men­to­ring and col­le­gi­al spaces for reflec­tion, LU crea­tes the basis for a cul­tu­re in which per­so­nal deve­lo­p­ment is unders­tood not only as an indi­vi­du­al task, but also as col­la­bo­ra­ti­ve learning. 

    Focus 10: Values (rose)

    📍 Background and initial situation at the Learning University (LU)

    The values cen­tral to AAEL as a pri­ma­ri­ly value- and prin­ci­ple-based frame­work, such as trust, respon­si­bi­li­ty, cou­ra­ge, open­ness, respect, diver­si­ty, feed­back, com­mit­ment, focus and com­mu­ni­ca­ti­on, should not remain mere­ly abs­tract gui­de­lines at LU. Rather, they must be actively and joint­ly lived and shaped by all mem­bers of the uni­ver­si­ty. An agi­le, ambi­dex­trous and par­ti­ci­pa­to­ry uni­ver­si­ty cul­tu­re – a genui­ne AAEL cul­tu­re – can only be crea­ted in the long term if all stake­hol­ders con­scious­ly deci­de to make the­se values visi­ble in ever­y­day life. 

    ⚓️ Particularly in light of the rapid developments in the field of AI and the growing role of AI agents, LU is asking itself key questions:
    • What values are cen­tral to the inte­gra­ti­on of AI sys­tems into our ever­y­day uni­ver­si­ty life?
    • How can we trans­fer the­se values into our ever­y­day tea­ching, rese­arch and admi­nis­tra­ti­ve work?
    • What atti­tu­de is nee­ded to work respon­si­bly, cri­ti­cal­ly and cou­ra­ge­ous­ly with new digi­tal play­ers such as AI agents?

    The fol­lo­wing situa­ti­on is an exam­p­le of how value ori­en­ta­ti­on and AI issues can be com­bi­ned at LU across the micro, meso and macro levels.

    💭 Fictitious situation as a case study at the LU
    — Values and AI agents in everyday university life (micro, macro and meso level) 
    It’s mor­ning at the Lear­ning Uni­ver­si­ty. Tea­chers, stu­dents, admi­nis­tra­ti­ve staff and – for the first time expli­cit­ly included – AI agents are sit­ting in the digi­tal workspace of an inter­di­sci­pli­na­ry pro­ject group. The LU’s vir­tu­al spaces have long sin­ce beco­me a natu­ral addi­ti­on to the phy­si­cal cam­pus spaces. Per­so­nal ava­tars and AI agents dis­cuss things tog­e­ther here, coor­di­na­te appoint­ments and inde­pendent­ly sug­gest work steps.

    Howe­ver, AI agents are no lon­ger just pas­si­ve tools, but real actors who ask ques­ti­ons inde­pendent­ly, pro­vi­de cri­ti­cal feed­back and struc­tu­re work pro­ces­ses.

    Dr. Anne Weg­ner, Pro­fes­sor of Socio­lo­gy, reports:
    “Our AI agents have now beco­me real team mem­bers. They take on rou­ti­ne tasks, draw our atten­ti­on to unclear for­mu­la­ti­ons and incre­asing­ly make their own sug­ges­ti­ons for stra­te­gic decis­i­ons that are not based exclu­si­ve­ly on human input, but are gene­ra­ted algo­rith­mi­cal­ly and the­r­e­fo­re rai­se par­ti­cu­lar ethi­cal and value-based ques­ti­ons. But we urgen­tly need to reflect on the limits that need to be set here.”

    At the same time, a mixed group of deans, lec­tu­r­ers, admi­nis­tra­ti­ve staff and stu­dents – inclu­ding Dean Leo­nie Han­sen and Dean Hen­rik Meiss­ner – will meet in the admi­nis­tra­ti­on buil­ding to dis­cuss pre­cis­e­ly this chall­enge. Tog­e­ther, they want to cla­ri­fy how the expli­cit­ly named LU values such as trust, respon­si­bi­li­ty, cou­ra­ge, open­ness, respect and diver­si­ty can be put into prac­ti­ce in the col­la­bo­ra­ti­on bet­ween peo­p­le and AI agents.

    Stu­dent Andrea Vita­le-Theo­do­rou speaks up:
    “Some­ti­mes my AI agent almost feels like a human being. He gives me sound advice and asks cri­ti­cal ques­ti­ons about my sci­en­ti­fic work. This is hel­pful, but I often ask mys­elf: whe­re exact­ly is my respon­si­bi­li­ty and auto­no­my as a lear­ner when AI agents are incre­asing­ly invol­ved in thin­king and decision-making?” 
    🔗 Systemic questions for reflection
    • How does my own sen­se of respon­si­bi­li­ty in the lear­ning or work pro­cess chan­ge when my AI agent regu­lar­ly makes hel­pful or advan­ced sug­ges­ti­ons – and what does that mean for my self-efficacy? 
    • How do trust, respect and respon­si­bi­li­ty beco­me visi­ble in mixed teams of humans and AI – and who deci­des when an algo­rith­mic pro­po­sal is value-ori­en­ted enough to be implemented? 
    • What impli­cit values are reflec­ted in the way we accept AI agents as team mem­bers – or not? 
    🎉Outline of a method for application as an exemplary procedure variant:
    Values Compass Workshop

    The values com­pass work­shop is a method in which dif­fe­rent LU stake­hol­ders reflect on, dis­cuss and estab­lish their values tog­e­ther. The aim is to defi­ne clear and via­ble points of refe­rence that make the inter­ac­tion bet­ween peo­p­le and AI sus­tainable, open and respon­si­ble.

    This work­shop is expli­cit­ly based on a com­bi­na­ti­on of self-reflec­tion and con­cre­te, prac­ti­cal exer­ci­s­es in order to con­vey a value ori­en­ta­ti­on not only in theo­ry, but also to trans­la­te it direct­ly into prac­ti­cal action. The aim is to sys­te­ma­ti­cal­ly reflect on the LU values tog­e­ther and then inte­gra­te them into ever­y­day uni­ver­si­ty life. 

    Tar­get group:
    Deans and facul­ty repre­sen­ta­ti­ves; uni­ver­si­ty manage­ment (Rec­tor Adams, Chan­cell­or Hinz); tea­ching staff from various facul­ties; staff from admi­nis­tra­ti­on and sup­port struc­tures; stu­dents from all facul­ties; exter­nal part­ners (“Cri­ti­cal Fri­ends”)
    Aim of the method:
    Making values visi­ble as the foun­da­ti­on of joint decis­i­ons; reflec­tion and con­scious exami­na­ti­on of own values and the values of the orga­niza­ti­on; clear and con­cre­te lin­king of values and prac­ti­cal issues rela­ting to AI; deve­lo­p­ment of joint gui­de­lines for the use of AI at LU; pro­mo­ti­on of insti­tu­tio­nal cohe­si­on and trus­ting coope­ra­ti­on bet­ween all uni­ver­si­ty groups

    Step 1 — Making values visible (Being)
    • Brief impul­se on the LU values alre­a­dy for­mu­la­ted: trust, respon­si­bi­li­ty, cou­ra­ge, open­ness, respect, diver­si­ty, feed­back, com­mit­ment, focus and communication.
    • Mixed groups of stu­dents, tea­ching staff, admi­nis­tra­ti­on and uni­ver­si­ty manage­ment dis­cuss the fol­lo­wing ques­ti­ons for reflection: 
      • Which of the­se values are alre­a­dy visi­bly and tan­gi­bly ancho­red in our ever­y­day uni­ver­si­ty life?
      • What spe­ci­fic situa­tions have shown that the­se values are alre­a­dy being actively practiced?
      • Which values do we find par­ti­cu­lar­ly chal­len­ging when we think about AI use or change?
      • How are we curr­ent­ly deal­ing with the­se challenges?
    AAEL principle of action: Value-based action for sustainable higher education 

    Values are only sus­tainable if they are unders­tood, shared and lived by all mem­bers of the uni­ver­si­ty. The work­shop the­r­e­fo­re beg­ins expli­cit­ly with an inven­to­ry of lived and desi­red values in order to build on what alre­a­dy exists and to joint­ly iden­ti­fy poten­ti­al for development. 

    Step 2 — Making values practical (Doing)

    After reflec­tion, the values are imme­dia­te­ly trans­la­ted into con­cre­te decis­i­ons and action steps:

    • Prac­ti­cal exer­cise pha­se (desig­ning decis­i­on-making spaces)
      Small groups work on spe­ci­fic sce­na­ri­os from ever­y­day uni­ver­si­ty life (e.g. AI-sup­port­ed exami­na­ti­ons, vir­tu­al lear­ning spaces, agi­le pro­jects, inter­di­sci­pli­na­ry rese­arch teams).
      Each group recei­ves exem­pla­ry real decis­i­on-making sce­na­ri­os that are curr­ent­ly open at the LU, e.g:
      • Should gene­ra­ti­ve AI sys­tems be allo­wed to be used wit­hout restriction?
      • How do we deal with pla­gia­rism issues?
      • Who takes respon­si­bi­li­ty for errors cau­sed by AI?
      • What social and ethi­cal boun­da­ries do we want to set when deal­ing with AI?
    • Prac­ti­cal appli­ca­ti­on:
      The small groups work out a con­cre­te, action-gui­ding result for each ques­ti­on based on the LU values and record the­se results on a values com­pass card.
      Each group deter­mi­nes how the joint­ly reflec­ted values can be imple­men­ted in the­se scenarios: 
      • What decis­i­ons do we make when we live respon­si­bi­li­ty and trust consistently?
      • How do we deal with diver­si­ty and open­ness when AI agents are inte­gra­ted into teams?
      • What feed­back cul­tu­re do we want to actively estab­lish so that com­mit­ment and focus can grow?
    • Sha­ring & Dis­cus­sion:
      Pre­sen­ta­ti­on of the results in the lar­ge group, sum­ma­ry and dis­cus­sion of uni­ver­si­ty-wide bin­ding ori­en­ta­ti­on points to enable con­sis­tent and sus­tainable decis­i­ons for all faculties.
    AAEL principle of action: bridging the duality of exploration and exploitation 

    Through this prac­ti­cal work, the par­ti­ci­pan­ts reco­gni­ze that a com­mon value base helps to suc­cessful­ly navi­ga­te ten­si­ons bet­ween inno­va­ti­on (explo­ra­ti­on) and estab­lished struc­tures (explo­ita­ti­on).

    🔋 AI as an additional player in the value compass 

    An expe­ri­men­tal for­mat is being tes­ted for the first time: A gene­ra­ti­ve AI lan­guage model is part of a working group and ans­wers ques­ti­ons from a broa­der perspective:

  • Par­ti­ci­pan­ts recei­ve ans­wers from AI to ethi­cal or metho­do­lo­gi­cal questions.
  • As a result, they reflect: 
    • What values does AI convey?
    • What value judgments or bia­ses do we recognize?
    • How does the pre­sence of AI agents chan­ge our own dis­cus­sions about values?
  • The AI agents are thus expli­cit­ly included as acti­ve play­ers in the value for­ma­ti­on process.

    Post-digitality as a matter of course 

    The AI agents are no lon­ger just pas­si­ve tools, but acti­ve dis­cus­sion part­ners who them­sel­ves con­tri­bu­te to cri­ti­cal value orientation.

    Step 3 — Being & Doing AAEL
    🏷️ Spatial perspective as a supplement 

    In addi­ti­on, the work­shop is deli­bera­te­ly held in the phy­si­cal space on cam­pus to empha­si­ze the importance of per­so­nal inter­ac­tions and psy­cho­lo­gi­cal safety:

  • Room design: The work­shop takes place in an open, bright, trans­pa­rent room that invi­tes dia­log and exchange.
  • Par­al­lel offers: During the work­shop, some con­tri­bu­ti­ons from inter­na­tio­nal online spaces (via ava­tars, vir­tu­al cam­pus envi­ron­ment) will be digi­tal­ly con­nec­ted to empha­si­ze the con­nec­tion and equi­va­lence of digi­tal and ana­log lear­ning and com­mu­ni­ca­ti­on spaces. 
  • AAEL principle of action: Post-digitality as a matter of course 

    LU reco­gni­zes that digi­ta­li­ty and phy­si­cal pre­sence do not replace each other, but com­ple­ment each other and form edu­ca­tio­nal spaces together. 

    Step 3 — Final reflection and invitation Final reflection and invitation to the participants (Being & Doing)

    Joint reflec­tion in ple­na­ry: How has the prac­ti­cal exami­na­ti­on of our values hel­ped us to shape future edu­ca­ti­on at the LU more cle­ar­ly?

    For­mu­la­ti­on of initi­al con­cre­te steps on how value ori­en­ta­ti­on can be made more visi­ble insti­tu­tio­nal­ly and ancho­red strategically.

    • Which values do we alre­a­dy actively live by, and which less so?
    • What does it take in con­cre­te terms to real­ly live trust, respon­si­bi­li­ty, cou­ra­ge, open­ness, respect, diver­si­ty, feed­back, com­mit­ment, focus and communication?
    • How can you pro­mo­te open­ness and diver­si­ty in practice?
    • Whe­re can we find examp­les that are alre­a­dy working and that ever­yo­ne can build on tog­e­ther to bring AAEL to life in practice?
    🧭 Task: Decide as a group!

    🧭 Task: Deve­lop con­cre­te pro­po­sals for the long-term inte­gra­ti­on of the­se values into ever­y­day uni­ver­si­ty life. Think about the fea­si­bi­li­ty of the fol­lo­wing for­mats, among others: 

  • Regu­lar values reflec­tion mee­tings at facul­ty and working group level
  • Trans­pa­rent gui­de­lines for respon­si­ble AI use
  • Estab­lish­ment of regu­lar prac­ti­ce forums (“AAEL prac­ti­ce rooms”) for exch­an­ge and feedback
  • Pro­po­sed reso­lu­ti­on for the respon­si­ble bodies (in the case of LU: the Senate)
  • — Final invitation to all members of the university: 
    “With this in mind, we cor­di­al­ly invi­te you to con­scious­ly reflect on how the­se values can be ancho­red in your spe­ci­fic working and lear­ning envi­ron­ment.

    What does it take to ensu­re that trust and respon­si­bi­li­ty are not just on paper?
    How can you, how can you pro­mo­te open­ness and diver­si­ty in prac­ti­ce?
    And abo­ve all: Whe­re can you find examp­les that alre­a­dy work in your con­text that ever­yo­ne can build on tog­e­ther to bring AAEL to life in prac­ti­ce?”

    The fur­ther deepe­ning of the­se values and their signi­fi­can­ce for AAEL prac­ti­ce can be ancho­red in very dif­fe­rent places – be it in work­shops on agi­le methods, in tar­ge­ted for­mats for self-reflec­tion on roles and respon­si­bi­li­ties or in orga­niza­tio­nal deve­lo­p­ment pro­ces­ses.

    It is always worth taking an ite­ra­ti­ve approach:
    Which values are alre­a­dy visi­bly prac­ti­ced in your and your envi­ron­ment?
    Let’s deci­de tog­e­ther how we can start the­re and go deeper. 
    Step 4 — Summarizing the method (Being & Doing)

    The par­ti­ci­pan­ts in the method can deci­de to make par­ti­cu­lar­ly suc­cessful examp­les of value ori­en­ta­ti­on visi­ble so that other are­as or stake­hol­ders in the orga­niza­ti­on can bene­fit from them and build on them.

    • The method com­bi­nes value ori­en­ta­ti­on (Being) with con­cre­te prac­ti­ce (Doing) and shows that values can beco­me part of ever­y­day life.
    • AI agents expli­cit­ly appear as inde­pen­dent actors who­se role is cri­ti­cal­ly reflec­ted upon.
    • The con­scious use and design of phy­si­cal space under­lines the importance of human rela­ti­onships and social secu­ri­ty along­side digi­tal interactions.
    💡 Summary

    The Values Com­pass work­shop not only empha­si­zes the cen­tral role of value ori­en­ta­ti­on in the AAEL frame­work, but also links it direct­ly to uni­ver­si­ty prac­ti­ce. It shows how values can beco­me effec­ti­ve in ever­y­day actions and be actively sup­port­ed by all stake­hol­ders – which is a basic pre­re­qui­si­te for suc­cessful agi­le, ambi­dex­trous and par­ti­ci­pa­to­ry uni­ver­si­ty development. 

    Focus 11: Principles (purple)

    📍 Background and initial situation at the Learning University (LU)

    The Lear­ning Uni­ver­si­ty (LU) has made a con­scious decis­i­on to ali­gn its deve­lo­p­ment and day-to-day acti­vi­ties more clo­se­ly with clear prin­ci­ples rather than sti­cking sole­ly to rigid rules, respon­si­bi­li­ties and hier­ar­chies. This chan­ge from a rule-ori­en­ted to a prin­ci­ple-ori­en­ted approach is chal­len­ging, but neces­sa­ry in order to act in an agi­le, ambi­dex­trous and par­ti­ci­pa­to­ry man­ner in com­plex con­texts.

    In the are­as of agi­li­ty, ambi­dex­teri­ty and lea­der­ship in par­ti­cu­lar, LU has defi­ned prin­ci­ples in line with its values that help to make respon­si­bi­li­ty and decis­i­ons more con­scious and fle­xi­ble. At the same time, an area of ten­si­on ari­ses: in a prin­ci­ple-ori­en­ted uni­ver­si­ty, mista­kes, respon­si­bi­li­ty and ques­ti­ons of guilt must be dealt with dif­fer­ent­ly. Tra­di­tio­nal sys­tems seek clear respon­si­bi­li­ties and indi­vi­du­al accoun­ta­bi­li­ty, while a prin­ci­ples-based approach pro­mo­tes and demands sys­te­mic and shared responsibility. 

    ⚓️ This raises important questions:
    • How do we as LU crea­te a cul­tu­re in which prin­ci­ples (respon­si­bi­li­ty, open­ness, cou­ra­ge, trust, feed­back) are tru­ly lived?
    • How do we deal con­s­truc­tively with mista­kes as indi­vi­du­als and as an orga­niza­ti­on when rules are repla­ced by principles?
    • How can a balan­ce be struck bet­ween shared respon­si­bi­li­ty and clear decis­i­on-making ability?
    💭 Fictitious situation as a case study at the LU
    — Principle orientation and responsibility – how to deal with mistakes?
    (micro, meso and macro level) 
    A cross-facul­ty pro­ject is being laun­ched at the LU to deve­lop and pilot agi­le and inno­va­ti­ve stu­dy for­mats such as micro-cre­den­ti­als. Tea­ching staff from various facul­ties, admi­nis­tra­ti­ve staff and stu­dents are invol­ved. The first mista­kes and misun­derstan­dings emer­ge during the pro­cess:

    Some admi­nis­tra­ti­ve staff com­plain that respon­si­bi­li­ties are unclear and ask for clear respon­si­bi­li­ties and rules:
    “If the­re are no clear rules, how do I know who is respon­si­ble for mista­kes?” asks Max Lin­den­hain, an employee from cen­tral admi­nis­tra­ti­on.

    Dean Hen­rik Meiss­ner explains:
    “Our chall­enge is pre­cis­e­ly this: We are con­scious­ly repla­cing tra­di­tio­nal rules with prin­ci­ples such as trust, respon­si­bi­li­ty and open­ness. We don’t see mista­kes pri­ma­ri­ly as a reason to appor­ti­on bla­me, but rather as lear­ning oppor­tu­ni­ties that we sys­te­ma­ti­cal­ly and open­ly reflect on tog­e­ther and from which we joint­ly deri­ve respon­si­bi­li­ty for chan­ge.”

    Mecha­ni­cal engi­nee­ring pro­fes­sor Samir Al-Hakim adds skep­ti­cal­ly:
    “That sounds good in theo­ry, but how does it work in prac­ti­ce? What do I actual­ly do if some­thing goes wrong?”

    The uni­ver­si­ty manage­ment takes the chall­enge serious­ly and deci­des to hold a work­shop on prin­ci­ples, which will be atten­ded by all stake­hol­ders in order to cla­ri­fy the­se issues tog­e­ther in a prac­ti­cal manner. 
    AAEL principles of action: Values-based action for sustainable higher education & Sovereign agility in education 

    Prin­ci­ples replace rules, pro­mo­te joint lear­ning and sup­port agi­le decis­i­on-making skills in deal­ing with errors. 

    🔗 Systemic questions for reflection
    • How have we dealt with mista­kes so far, and what atti­tu­de curr­ent­ly cha­rac­te­ri­zes our error-lear­ning culture?
    • What advan­ta­ges does a prin­ci­ple-based approach offer over the tra­di­tio­nal rule- and respon­si­bi­li­ty-ori­en­ted approach? 
    • What obs­ta­cles do we have to over­co­me in order to tru­ly live values such as respon­si­bi­li­ty and trust?
    • How can a balan­ce be struck bet­ween joint and indi­vi­du­al respon­si­bi­li­ty in ever­y­day life?
    🎉Outline of a method for application as an exemplary procedure variant:
    AAEL principles workshop – Dealing with responsibility and mistakes

    Ziel­grup­pe:
    Leh­ren­de, Stu­die­ren­de ver­schie­de­ner Fakul­tä­ten; Ver­wal­tungs­mit­ar­bei­ten­de; Hoch­schul­lei­tung und Dekan_innen; KI-Agen­t_in­nen als Reflexionspartner_innen
    Ziel der Metho­de:Bewuss­te Ein­füh­rung und Ver­tie­fung einer Prin­zi­pi­en­ori­en­tie­rung im Umgang mit Ver­ant­wor­tung und Feh­lern, um agi­les, ambi­dex­t­res und wer­te­ba­sier­tes Han­deln im Hoch­schul­all­tag zu verankern

    Step 1 — Being & Doing AAEL
    • Mixed groups reflect on cur­rent prac­ti­ce: How do we curr­ent­ly deal with errors?
    • Open dis­cus­sion about cur­rent atti­tu­des towards mista­kes: bla­me vs. lear­ning opportunity.
    Step 2 — Being & Doing AAEL
    • Groups use spe­ci­fic prac­ti­cal examp­les to work out how AAEL prin­ci­ples of action (based on values such as trust, open­ness, respon­si­bi­li­ty and feed­back) can be effec­ti­ve in dif­fi­cult situations.
    • Iden­ti­fi­ca­ti­on of con­cre­te mea­su­res to imple­ment a prin­ci­ple-ori­en­ted error culture.
    Step 3 — Being & Doing AAEL
    • Deve­lo­p­ment of a com­mon con­sen­sus on a con­cre­te, prin­ci­ple-ori­en­ted error-lear­ning culture.
    • Plan­ning regu­lar feed­back and reflec­tion for­mats (e.g. respon­si­bi­li­ty cir­cles) in order to con­ti­nuous­ly deve­lop the principles.
    AAEL principles of action: Integrated Leadership in Education & Bridging the Duality of Exploration and Exploitation 

    Prin­ci­ple ori­en­ta­ti­on demands and pro­mo­tes indi­vi­du­al and col­la­bo­ra­ti­ve lea­der­ship in order to enable both agi­le inno­va­ti­on and sys­te­ma­tic opti­miza­ti­on with confidence. 

    💡 Summary

    At the Lear­ning Uni­ver­si­ty, a con­sis­tent focus on prin­ci­ples replaces tra­di­tio­nal rule and respon­si­bi­li­ty ori­en­ta­ti­ons by making values such as respon­si­bi­li­ty, open­ness and trust the bench­mark. By see­ing mista­kes not as a mat­ter of guilt, but as a lear­ning oppor­tu­ni­ty, a con­fi­dent, agi­le and ambi­dex­trous cul­tu­re is crea­ted that streng­thens joint action and dri­ves uni­ver­si­ty deve­lo­p­ment for­ward in the long term. 

    Focus 12: Culture (petrol)

    📍 Background and initial situation at the Learning University (LU)

    The Lear­ning Uni­ver­si­ty (LU) has set out to crea­te the con­di­ti­ons to enable an AAEL cul­tu­re – a cul­tu­re that can­not be pre­scri­bed or trai­ned, but emer­ges from the con­scious inter­ac­tion of all actors and modes of action. An AAEL cul­tu­re deve­lo­ps not only at the gover­nan­ce level of the uni­ver­si­ty, but in every semi­nar room, in every inter­di­sci­pli­na­ry coope­ra­ti­on and in the infor­mal dis­cus­sions bet­ween facul­ties and admi­nis­tra­ti­on. It ari­ses whe­re prin­ci­ples are not only sta­ted, but actual­ly lived.

    Unli­ke tra­di­tio­nal orga­niza­tio­nal cul­tures, which are often shaped by mis­si­on state­ments or pro­grams, an AAEL cul­tu­re grows out of lived values, prin­ci­ples and prac­ti­ces – in other words, out of Being AAEL (values, prin­ci­ples) and Doing AAEL (methods, practices).

    ⚓️ The LU recognizes that culture unfolds across all university levels:
    • Micro level: Inter­ac­tions bet­ween stu­dents, tea­chers, admi­nis­tra­ti­on and sup­port teams.
    • Meso-level: Coope­ra­ti­on in facul­ties, bet­ween teams, in inter­di­sci­pli­na­ry pro­jects and admi­nis­tra­ti­ve units.
    • Macro level: uni­ver­si­ty-wide decis­i­ons, gover­nan­ce, coope­ra­ti­on with poli­tics and society.
    • How do we inte­gra­te regu­lar and rapid review and inspect & adapt cycles into our pro­ces­ses in order to spe­ci­fi­cal­ly incor­po­ra­te exter­nal per­spec­ti­ves, such as tho­se of AI agents and exter­nal part­ners, into the deve­lo­p­ment and appr­oval of con­tem­po­ra­ry stu­dy programs?
    But how can an AAEL culture develop emergently in an institution as diverse and loosely coupled as a university?

    A cen­tral approach is to make the cul­tu­re lived tan­gi­ble through visi­ble chal­lenges. At LU, this kind of ten­si­on is par­ti­cu­lar­ly evi­dent when deal­ing with “cen­tra­li­zed vs. decen­tra­li­zed” – espe­ci­al­ly when it comes to topics such as digi­tal trans­for­ma­ti­on and sus­taina­bi­li­ty. A sus­tainable uni­ver­si­ty cul­tu­re is not only an eco­lo­gi­cal issue, but also a ques­ti­on of long-term value ori­en­ta­ti­on. How do we deal with resour­ces – not just mate­ri­al ones, but also social and cogni­ti­ve ones? How do we ensu­re that our decis­i­ons are sus­tainable in the long term and not just opti­mi­ze short-term efficiency? 

    💭 Fictitious situation as a case study at the LU
    — be able to assume leadership in all areas. (Focus: middle level of deaneries and faculties) 
    LU is facing a fun­da­men­tal chall­enge:
    How can the digi­tal trans­for­ma­ti­on be made sus­tainable across the uni­ver­si­ty?
    The­re is a con­tro­ver­si­al deba­te in the Sena­te: should digi­tal plat­forms, tools and AI sys­tems be con­trol­led cen­tral­ly or deci­ded decen­tral­ly by facul­ties and insti­tu­tes? Stu­dents want fle­xi­ble, open digi­tal offe­rings. Admi­nis­tra­ti­on and IT, on the other hand, favor a cle­ar­ly regu­la­ted infra­struc­tu­re. Lec­tu­r­ers are divi­ded: Some see gre­at oppor­tu­ni­ties for digi­tal tea­ching, others fear a loss of con­trol.

    Dean Leo­nie Han­sen from the Facul­ty of Huma­ni­ties expres­ses her con­cerns:
    “If ever­y­thing is pre­scri­bed cen­tral­ly, we lose the fle­xi­bi­li­ty to adapt digi­tal tea­ching to our spe­cia­list cul­tu­re in an agi­le way.”

    Dean Hen­rik Meiss­ner from the Facul­ty of Busi­ness and Eco­no­mics dis­agrees:
    “But if each facul­ty deve­lo­ps its own solu­ti­ons, this is inef­fi­ci­ent and con­su­mes unneces­sa­ry resour­ces that we don’t have. We lack a com­mon visi­on. How do we avo­id a digi­tal patch­work?”

    The spea­k­er Lisa Bites from the Digi­tal Lab has her say:
    “The pro­blem is not cen­tra­li­zed ver­sus decen­tra­li­zed – but how we expe­ri­ence a digi­tal cul­tu­re tog­e­ther that enables inno­va­ti­on and at the same time pro­vi­des a sta­ble foun­da­ti­on for rese­arch, tea­ching and admi­nis­tra­ti­on. We need a struc­tu­red dia­lo­gue pro­cess in order to joint­ly iden­ti­fy our cur­rent prac­ti­ce of digi­ta­liza­ti­on and action in the digi­ta­li­ty of hig­her edu­ca­ti­on and to reflect on how we can best act in the future.”

    The stu­dent repre­sen­ta­ti­ves in the Sena­te also empha­si­ze how rele­vant it is to include the chal­lenges that tea­chers some­ti­mes face and the actu­al prac­ti­ces of stu­dents in order to paint an honest pic­tu­re of the cur­rent situa­ti­on.

    As a result, the uni­ver­si­ty manage­ment deci­ded to initia­te a dia­lo­gi­cal cul­tu­ral ana­ly­sis in the form of an “AAEL cul­tu­re lab” with a small group, in which various stake­hol­ders at all levels reflect tog­e­ther on what the digi­tal trans­for­ma­ti­on alre­a­dy means for their dai­ly work and the uni­ver­si­ty cul­tu­re and what it could mean in the future. What tech­no­lo­gi­cal, social, spa­ti­al or legal frame­work con­di­ti­ons will be neces­sa­ry in order to be sus­tainable in digi­ta­li­ty in the future – and to have a sen­se of psy­cho­lo­gi­cal secu­ri­ty here? 
    AAEL principles of action: Values-based action for sustainable higher education & Sovereign agility in education 

    An emer­gent cul­tu­re is not crea­ted through top-down spe­ci­fi­ca­ti­ons, but through con­scious­ly desi­gned dia­log and mutu­al listening. 

    🔗 Systemic questions for reflection
    • How are we curr­ent­ly expe­ri­en­cing the digi­tal trans­for­ma­ti­on at our university?
    • What uns­po­ken values and prin­ci­ples shape our cur­rent prac­ti­ce in the area of digi­ta­liza­ti­on and sus­taina­bi­li­ty? Whe­re do the­se pos­si­bly con­flict with our mis­si­on statement? 
    • How does the ten­si­on bet­ween cen­tra­li­zed and decen­tra­li­zed struc­tures affect our dai­ly work and collaboration?
    • How are our actu­al actions and dia­log with each other shaped by for­mal and infor­mal rules and struc­tures? What hap­pens in for­mal chan­nels? Why have infor­mal pro­ces­ses and working methods beco­me established? 
    • Which values and prin­ci­ples are prac­ti­ced in our uni­ver­si­ty cul­tu­re, which are miss­ing or only exist on paper?
    • How do we shape a uni­ver­si­ty cul­tu­re that pro­mo­tes digi­tal inno­va­ti­on and sus­taina­bi­li­ty in equal measure?
    🎉 Outline of a method for application as an exemplary procedure variant:
    AAEL cultural analysis – listening, understanding, shaping

    Tar­get group:
    Stu­dents, tea­ching staff, admi­nis­tra­ti­on, uni­ver­si­ty manage­ment; exter­nal obser­vers (“cri­ti­cal fri­ends”); AI agents as reflec­tion part­ners
    Aim of the method :
    To make emer­gent uni­ver­si­ty cul­tu­re visi­ble and under­stand how prin­ci­ples and values are actual­ly lived in ever­y­day life.

    Step 1 — Perception & Observation (Being AAEL)
    • Over the cour­se of a week, uni­ver­si­ty mem­bers docu­ment and reflect on their dai­ly expe­ri­en­ces in rela­ti­on to cen­tral values and principles.
    • KI-Agen­t_in­nen ana­ly­sie­ren par­al­le­le Mus­ter in digi­ta­len Pro­zes­sen (z. B. Kom­mu­ni­ka­ti­ons­ver­hal­ten, Ent­schei­dungs­we­ge, inter­dis­zi­pli­nä­re Zusammenarbeit).
    Step 2 — Listening & understanding together (Doing AAEL)
    • Mem­bers of the uni­ver­si­ty exch­an­ge their per­cep­ti­ons in mixed groups: Whe­re do ten­si­ons ari­se? Whe­re are the­re con­tra­dic­tions bet­ween mis­si­on state­ment and practice? 
    • AI agents are not only used as obser­vers, but can also make pat­terns in com­mu­ni­ca­ti­on pro­ces­ses visi­ble, for exam­p­le by ana­ly­zing assi­gned mee­ting minu­tes and clus­te­ring aspects that are fre­quent­ly addres­sed – and which are miss­ing. They can also be used as spar­ring part­ners by intro­du­cing alter­na­ti­ve per­spec­ti­ves into the dialog. 
    Step 3 — Dialogue & cultural design (Being & Doing AAEL)
    • Deve­lo­p­ment of joint pro­po­sals to pro­mo­te posi­ti­ve cul­tu­ral chan­ge in an emer­gent way.
    • Iden­ti­fi­ca­ti­on of are­as in which AAEL values can be lived more visibly.
    • Plan­ning spe­ci­fic expe­ri­men­tal spaces to fur­ther deve­lop the uni­ver­si­ty culture.
    AAEL principles of action: Integrated Leadership in Education & Bridging the Duality of Exploration and Exploitation 

    AAEL cul­tu­re can­not be impo­sed – it deve­lo­ps over time through reflec­ti­ve, par­ti­ci­pa­ti­ve pro­ces­ses and joint learning.

    💡 Summary

    At LU, cul­tu­re is not defi­ned by ins­truc­tions or pro­grams, but grows through dai­ly action, reflec­ti­ve prac­ti­ce and ite­ra­ti­ve dia­lo­gue. The uni­ver­si­ty reco­gni­zes that cul­tu­re is flu­id and can only emer­ge emer­gen­tly – by actively enga­ging with values, prin­ci­ples and lived prac­ti­ces. Through AAEL cul­tu­re labs, cul­tu­ral ana­ly­ses and dia­lo­gi­cal spaces for reflec­tion, LU crea­tes sys­te­ma­tic oppor­tu­ni­ties in which uni­ver­si­ty cul­tu­re beco­mes visi­ble and actively deve­lo­ps. The AAEL cul­tu­re thus deve­lo­ps from the inter­play of all AAEL ele­ments and con­tri­bu­tes to sha­ping an agi­le, ambi­dex­trous and par­ti­ci­pa­to­ry uni­ver­si­ty landscape. 

    🧭 Task: Model your university or a section of it together.

    Use the colors to make AAEL ele­ments visi­ble:
    Whe­re are you alre­a­dy expe­ri­en­cing ambi­dex­teri­ty? Whe­re do you feel agi­li­ty? Whe­re is the­re resis­tance, gaps, miss­ing connections? 


    [2] e.g. https://9spaces.de


    part IV Outlook AAEL Practice PlayBook

    The pre­vious part of the AAEL Prac­ti­ce Play­Book will be expan­ded with the next ite­ra­ti­ons and sup­ple­men­ted with methods that have alre­a­dy been adapt­ed to an AAEL and (fur­ther) deve­lo­ped. It is the­r­e­fo­re to be expec­ted that the­re will be major revi­si­ons, signi­fi­cant exten­si­ons and metho­do­lo­gi­cal con­cre­tiza­ti­ons. Howe­ver, with this first draft of a prac­ti­cal Play­Book, a ver­si­on is now available that can be built upon.

    And for this moment, the fic­ti­tious case stu­dy out­lined here in various places with exem­pla­ry out­lined pos­si­bi­li­ties for action pro­vi­des an initi­al insight to get a gene­ral idea of how the AAEL frame­work could be adapt­ed in the prac­ti­ce of hig­her edu­ca­ti­on in the post-digi­tal era.

    In the spi­rit of “being able to act in bet­ween”.

    Last Update on 11/05/2025 (Chan­ge­log)

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