A particular focus of my work is the role of generative AI in higher education. Rather than treating AI simply as a tool for producing answers, I am interested in how it can be integrated into learning activities in ways that encourage critical thinking, reflection, experimentation, and deeper engagement with course material.
Focus
AI-Enhanced Teaching and Learning
I explore how generative AI can be integrated into university teaching in ways that
support meaningful learning. This includes designing practical assignments, rethinking
learning activities, and considering how educators can use AI while preserving
students’ active engagement, independent judgment, and responsibility for their work.
I have shared this work through two talks for audiences of professors and educational
technologists, and I am building a practical library of AI-supported assignments that
teachers, lecturers, and professors can adapt for use in their own courses.
The goal is to make research-informed approaches to AI-supported learning more
accessible and easier to put into practice across different subjects and teaching
contexts.
Teaching resourcePreview
The AI Assignment Library
Instead of banning AI, make it part of the assignment.
A collection of ready-to-adapt classroom assignments in which using AI is part of the
work — AI as a role-play partner, as a source students have to question and challenge,
or as a practical instrument. Each task can be filtered by AI’s role, Bloom’s level,
duration and difficulty, and comes with a prompt to copy, instructions, and debrief
questions. The library also includes an AI-use decision tree for students.
We are currently working on turning it into an official library integrated into
university teaching.
I am developing a seminar course on Work Psychology and AI, to be taught from September
2027. It brings together current research, organizational practice, and innovative
approaches to teaching and learning. The seminar is designed to connect three
perspectives:
01
Research
Cutting-edge findings on how AI is changing work, human behavior, learning, and organizations.
02
Practice
Perspectives from invited practitioners working with AI in international companies, connecting academic concepts to real organizational challenges.
03
Experiential learning
Practical assignments and AI-supported learning activities that encourage students to engage critically with the course material and apply concepts to real-world questions.
The seminar reflects my broader interest in connecting rigorous psychological research with
the realities of organizational life, while exploring how teaching itself can evolve in
response to AI.
Supervision & past teaching
Supervision and previous courses
Thesis supervision
Bachelor’s and master’s theses in work and organizational psychology, University of Zurich.
Previous teaching
Bachelor’s seminar on chronic mental disorders, University of Zurich (clinical psychology).
I welcome exchange with educators and academic institutions interested in research-informed teaching, AI-supported learning, and the future of higher education. Please get in touch at nick.kabrel@gmail.com.
