Summer Semester 2025
Computers and ‘machine-intelligence’ are frequently discussed as the means for addressing today’s critical educational challenges: learning remotely, learning at one’s own pace, learning according to one’s needs and background, providing quality education to all and for all. In this course, we welcome all master-level students with technical or non-technical backgrounds. Through the semester, we will cover topics on the intersection of Artificial Intelligence in Education, Educational Technologies, and Human-Computer Interaction and we will carry out hands-on exercises to deepen our understanding of intelligent learning technologies.
Teaching Form: Blended learning: Face-to-face lectures and practical sessions with online learning modules, and group work.
Hackathons are time-bounded events (typically 1-3 days) with large participation, in which (small) groups carry out projects which they conceptualize, design, prototype, or implement. “Learning” is often cited as one reason to organize or participate in Hackathons. However, we also know that it is necessary to plan for learning to ensure learning takes place.
This Praxisproject is set to run in conjunction with 1-2 hackathons in December/January. In the project, we will continue the work done in last year’s iteration of the project on Python-based challenges for the hackathon participants framed in the style of an Arcade Game machine.
There the participants built a virtual arcade machine with games in different development phases for the hackathon participants to work on. This way we can have built-in challenges of different difficulty. This includes:
- a frame for the application: a virtual arcade machine
- different games in different development phases (for example Snake, Pong, Pinball)
In the hackathon event(s), we will mentor participants and we will use the event(s) to get feedback on our challenges to (potentially) improve them after. Beyond that, we can also use the event for further research.
In this project, we aim to design human-centered strategies to train AI Literacy and prepare for living with AI.
In particular, we will work in groups to design various learning activities for practicing AI Literacy.
These activities will be part of a toolbox that will be available as an online repository.
For the praxisproject, we will follow a mini-hackathon series format.
In this seminar, we will explore research works and literature on the topic of Artificial Intelligence in Education (AIED) with an emphasis on the automatic generation of feedback.
