K. Wagner, A. Merceron, P. Sauer, and N. Pinkwart. About the Quality of a Course Recommender System as Perceived by Students. Proceedings of the 16th International Conference on Computer Supported Education (CSEDU), 2024.

K. Wagner, A. Merceron, P. Sauer, and N. Pinkwart. A Course Recommender System Built on Success to Support Students at Risk in Higher Education. Journal of Educational Data Mining, volume 16, issue 1, pages 330-364, 2024.

K. Wagner, A. Merceron, P. Sauer, and N. Pinkwart. Can the Paths of Successful Students Help Other Students With Their Course Enrollments? Proceedings of the 16th International Conference on Educational Data Mining, 2023.

K. Wagner, H. Volkening, S. Basyigit, A. Merceron, P. Sauer, and N. Pinkwart. Which Approach Best Predicts Dropouts in Higher Education? Proceedings of the 15th International Conference on Computer Supported                   Education, {CSEDU} 2023, Volume 2, Prague, Czech Republic, April 21-23,                   2023, pages 15-26, 2023.

K. Wagner, A. Merceron, P. Sauer, and N. Pinkwart. Personalized and Explainable Course Recommendations for Students at Risk of Dropping out. Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022), 2022.