Personalized Learning and Teaching: New Hope through Technology or Reliving of Failures?

Successful personalization is education`s presumed holy grail on the venture to optimizing learning processes and outcomes. After decades of rather unsatisfying research within the aptitude-treatment interaction paradigm, approaches such as computer-supported collaborative learning, cognitive tutors, artificial intelligence, effectiveness studies, experience sampling methods, and learning analytics all aim at providing or trialing learning environments that are better tailored to the individual learner than more traditional one-size-fits-all approaches. Will this venture be successful, or is there an inherent flaw in the assumption that new technologies and approaches can deliver the promise we ascribe? National and International Experts Contribute their Newest and Finest Thoughts and Findings in this regard to spark discussion and innovation.

We invite everyone interested to join and engage in discussions to solve education’s ongoing puzzles: Are the benefits of personalized instruction feasible, or a myth, what can we really learn from within-person intensive measurement, is there any hope in battling fake news, and is a computational model actually a kind of real experiment?

Informal registration before the talks is welcome: l.brandl@psy.lmu.de

21.10.2025

Exploring the Potential of AI for Bringing Individualized Feedback into the Classroom

Jennifer Meyer, University of Vienna

TBA
Ute Mertens, IPN Kiel

28.10.2025

TBA
Elisabeth Bauer, University of Augsburg

04.11.2025

From Moments to Development: Understanding Children’s Self-Regulation in School Contexts

Friederike Blume, DIPF Frankfurt


11.11.2025

Teacher-Facing Dashboards Showing Learners’ Clusters of Behavior

Paola Mejia-Domenzain, EPFL Lausanne


18.11.2025

Rethinking the Misinformation Problem

Sacha Altay, University of Zurich


25.11.2025

Precision Artificial Intelligence
Mohammed Saqr, University of Eastern Finland

02.12.2025

How Learning Behavior Is Linked to Achievement: Bridging the Gap Between Explainable AI, Learning Analytics, and Learning Theory

Hannah Deininger, University of Tübingen


09.12.2025

Adaptive Support for Collaborative Problem Solving: Promises and Challenges Using AI

Kester Wong, University College London


16.12.2025

Computational Modeling in Educational Psychology
Brendan Schuetze, University of Utah

Resource Usage in Interactive Learning Environments – Opportunities and Challenges for Assessment

Leonard Tetzlaff, DIPF Frankfurt


13.01.2026

TBA
Katharina Bach, University of Potsdam

20.01.2026

Partner, Source, or Agent? Re-Thinking Feedback Practices with AI

Joshua Weidlich, University of Zurich


27.01.2026

TBA
Aki Schumacher, Justig Liebig University Giessen