Teaching

Learning Analytics (dashboards)

Group work seminar on the development of own Learning Analytics Dashboard using Open University Learning Analytics Dataset as underlying data source.

Template solution Resources

Machine Learning for Education

Course focus on getting overall understanding of Machine Learning and its application in Education via external lectures and practical seminars.

Resources

Mentoring

Individual projects

Individual research project for one semester. I got a bunch of exciting topics for the project. Feel free to contact me, and we will work out a topic based on your interests and experience.

Past projects:

• Akhmad Sadullaev: Algorithmen zur Bildung von Studentengruppen (supervisor)
• Celina Loeper: Analyzing Student Performance to Assess the Importance of Student Activity (supervisor)

Forschungsseminar des Lehrstuhls “Didaktik der Informatik | Informatik und Gesellschaft”

Research seminar website

Students need to worked on a small research topic (make a state-of-the-art, small project, etc.). The seminar changed and research projects are no longer needed.

Past projects:

• Tim Behnke: Adaptive assessment framework (supervisor)
• Carolin Büchting: Student performance prediction (supervisor)
• Celina Loeper: Prediction of student success with Deep Learning (supervisor)

Forschungsseminar lectures

R (2021-05-11)

Modelling of student success (2021-06-30)

Bachelor/Master thesis

Research fields:

• Learning Analytics
• Educational Data Mining
• Machine Learning
• Explainable AI

If you have your own topic in the area of LA or EDM, or ML feel free to contact me, and we can work on that :)

Running:

• Tobias Hartel: Synthetic Data Generation for Learning Analytics (supervisor)

Finished:

• Master:

  • Tadeas Odstrcilik: ECG Processing and Analysis (supervisor)
  • Jonas Vaclavek: Collection and predictive analysis of student data (supervisor)
  • Akhmad Sadullaev: Formation of collaborative groups: Algorithms and Evaluation (supervisor)
  • Celina Loeper: Collaborative Learning Analytics: Predictive modeling of student collaboration in on-line learning (supervisor)
  • Minh Nguyen: Attention during Gamified Learning (co-supervisor)
  • Alexandra Kuhls: Gleitfensterbasierte Identifikation von Thesen und Prämissen für die Argmentationsanalyse mittels künstlicher Intelligenz (co-supervisor)

• Bachelor:

  • Jonas Vaclavek: Web Front-End for Student Data Analysis Application (supervisor)
  • Lukas Hnizdo: Heart Rate Variability Analysis (supervisor)
  • Petr Kirsch: Heart Rate Variability Analysis (supervisor)
  • James Reynaldi: Feedback Criteria Extraction Using Text Mining Approach (supervisor)
  • Mark Daniel Maeske: Design and implementation of a dashboard for tutors in software development courses (evaluator)
  • Oliver Pohl: Enhancing Musical Creativity through AI (evaluator)