Introduction to Educational Technology and Learning Analytics (Course n 0000003531)
We are teaching an elective course open to any TUM student - this is the first offering of its kind at TUM. The course serves as a gentle introduction to educational technology and learning analytics - the buzz words you may have heard around new tools and data that enters classrooms in secondary schools, university, and workplaces. Just what is the history behind these tools? What kinds are there? What do we know about their effectiveness? Should they support adaptive curriculum? Or adaptive assessment? Or is it about scaling peer interactions? What about the MOOCs? And of course, how about a new kid on the block - the use of AI in the classroom as mnore applications of generative language models appear - such as chatGPT3? The course will help you understand this landscape and equip you to think critically about these things and understand 'where to next' in your own ambitions around EdTech and the use of data in learning and teaching. 

Advanced Seminar: Learning Analytics
This advanced seminar offers students an opportunity to understand what learning analytics are and help them get started with research using learning analytics. The students will develop 'a starting kit' in mixed methods to work with process data, such as log data, text data, and interaction data that comes from learning environments. By the end of the course, the students will be able to associate research questions with selected types of analysis and will be able to apply selected learning analytics techniques to the data. The course is focused on analytical methods and hands-on experience working in R.