Insights & frameworks
University in the AI era
What changes in the university when producing answers is no longer the hard part. A reading that moves from institutional strategy (macro) to programme redesign (meso) and to what happens in each learning experience (micro).
Layers this area activates
Every educational transformation plays out in three layers at once. The layers are the same in any institution; their content and milestones change depending on whether it is a university, a school or a school network.
macro
Strategy, governance and institutional model
Institutional strategy, governance, educational model and AI policy. What the rectorate and board decide.
Typical milestones
Strategic plan · institutional graduate profile · assessment framework · AI strategy · evidence system
Purpose, identity and educational model of the school; governance between ownership, leadership and school board.
Typical milestones
School educational project · student exit profile · improvement plan · pedagogical leadership model
Shared educational framework of the network and governance between ownership, central team and school heads. The key decision: what is common and what remains each school's autonomy.
Typical milestones
Network educational framework · shared/local model · common exit profile · network dashboard
meso
Curriculum, programmes and academic organisation
Faculties, degrees and curricula. Where the model is translated into coherent programmes.
Typical milestones
Degree redesign · graduate profile per programme · cross-department coordination · accreditation dossier
Stages, cycles and teaching teams; organisation of time, space and progression across years.
Typical milestones
Stage planning · timetables and groupings · vertical coordination · teacher professional development
Coherence across schools: stages, planning, assessment criteria and teacher development aligned without uniformity.
Typical milestones
Comparable planning across schools · cross-school teacher communities · network training plan · practice transfer
micro
Learning experiences, assessment and classroom
Courses, learning experiences and assessment with the student. What is lived every week.
Typical milestones
Course guide · challenges and projects · rubrics and evidence · feedback · AI use in class
Classroom, tutoring and relationship with families. Where the model becomes visible every day.
Typical milestones
Units and projects · formative assessment · individual follow-up · communication with families
Each school's classroom, with its local context. The network provides framework and resources; each school provides the classroom translation.
Typical milestones
Context-adapted units · common assessment criteria · comparable student follow-up · families recognising the same purpose
● central layer · ○ secondary layer
Articles 7
Challenger universities: not every university of the future will be a transformed university
Some universities don't need to transform because they were born different. What challenger universities are, what defines them, and what a traditional university can learn from them.
August 1, 2026
Learning in the AI era: the series map
12 reflections on learning, human judgment and systemic transformation in the AI era. The complete index of the series.
July 27, 2026
University Learning Architecture: a framework for the AI era
Purpose → educational model → graduate profile → curriculum → experiences → assessment → evidence → impact. A macro–meso–micro framework to transform universities.
July 10, 2026
Series · 7Substitutive AI or expansive AI
The difference lies in whether the experience reduces or expands understanding, judgment and transferable learning. The same tool can produce opposite educational effects.
June 15, 2026
Series · 6AI agents: when execution is automated, judgment becomes central
As AI makes execution easier, educational value shifts towards intention, judgment, orchestration, feedback and evidence of learning.
June 8, 2026
Series · 5When generative AI changed the scale
What used to require hours or days of work can now be generated in seconds. That new scale transforms what we observe, assess and value. The illusion of understanding is the great educational challenge.
June 1, 2026
Series · 4AI in education did not start with ChatGPT
More than a decade of adaptive systems, learning analytics, recommendation, automated assessment and intelligent tutors. What changes with generative AI is the scale, the accessibility and the visibility of the debate.
May 25, 2026
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