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. Specifically, we will go over the following:
- Introduction to educational technologies
- Artificial intelligence in education (AIED)
- Student Modeling
- Intelligent Tutoring Systems (ITS)
- Collaborative learning environments / MOOCs
- Learning Management Systems / Open Educational Resources
- Fairness, Accountability, Transparency, and Ethics in AIED.
- Lehrende(r): Irene-Angelica Chounta
- Lehrende(r): Bibeg Limbu
- Lehrende(r): Cleo Maximiliane Schulten
- Lehrende(r): Lisa van der Heyden