Accuracy of a cross-program model for dropout prediction in higher education K Wagner, A Merceron, P Sauer Companion Proceedings of the 10th International Learning Analytics …, 2020 | 12 | 2020 |
Personalized and explainable course recommendations for students at risk of dropping out K Wagner, A Merceron, P Sauer, N Pinkwart Proceedings of the 15th International Conference on Educational Data Mining, 657, 2022 | 7 | 2022 |
Can the Paths of Successful Students Help Other Students with Their Course Enrollments?. K Wagner, A Merceron, P Sauer, N Pinkwart International Educational Data Mining Society, 2023 | 6 | 2023 |
Eliciting Students’ Needs and Concerns about a Novel Course Enrollment Support System K Wagner, I Hilliger, A Merceron, P Sauer Companion Proceedings of the 11th Learning Analytics and Knowledge Conference, 0 | 6* | |
Which Approach Best Predicts Dropouts in Higher Education? K Wagner, H Volkening, S Basyigit, A Merceron, P Sauer, N Pinkwart CSEDU (2), 15-26, 2023 | 5 | 2023 |
A Course Recommender System Built on Success to Support Students at Risk in Higher Education. K Wagner, A Merceron, P Sauer, N Pinkwart Journal of Educational Data Mining 16 (1), 330-364, 2024 | 2 | 2024 |
Erste Untersuchungen zur Notenprognose für ein Kursempfehlungssystem K Wagner, A Merceron, P Sauer Gesellschaft für Informatik eVz, 2020 | 2 | 2020 |
About the Quality of a Course Recommender System as Perceived by Students. K Wagner, A Merceron, P Sauer, N Pinkwart CSEDU (2), 238-246, 2024 | 1 | 2024 |