2024
- Wagner, K., Merceron, A., Sauer, P. and Pinkwart, N. 2024.:
About the Quality of a Course Recommender System as Perceived by Students (Short Paper)
Proceedings of the 16th International Conference on Computer Supported Education.
Angers, France, May 2024.
DOI: 10.5220/0012634900003693
ISBN: 978-989-758-697-2 Wagner, K., Merceron, A., Sauer, P. and Pinkwart, N. 2024:
A Course Recommender System Built on Success to Support At-Risk Students in Higher Education (to be published).
Journal of Educational Data Mining. (2024).
2023
- Wagner, K., S., Merceron, A., Sauer, P., Pinkwart, N.:
Can the Paths of Successful Students Help Other Students With Their Course Enrollments? (Long Paper)
Best Paper Nominee
In Proceedings of the 16th International Conference on Educational Data Mining.
Bengaluru, India, July 2023.
DOI: https://doi.org/10.5281/zenodo.8115719
HTML: https://educationaldatamining.org/EDM2023/proceedings/2023.EDM-long-papers.15/index.html - Wagner, K., Volkening, H. Basyigit, S., Merceron, A., Sauer, P., Pinkwart, N.:
Which Approach Best Predicts Dropouts in Higher Education? (Long Paper)
In Proceedings of the 15th International Conference on Computer Supported Education.
Prague, Czechia, April 2023.
DOI: 10.5220/0011838100003470
ISBN 978-989-758-641-5
2022
- Wagner, K., Merceron, A., Sauer, P., Pinkwart, N.:
Personalized and Explainable Course Recommendations for Students at Risk of Dropping out. (Poster)
In Proceedings of the 15th International Conference on Educational Data Mining, p. 657-661.
Durham, United Kingdom, July 2022.
DOI: 10.5281/zenodo.6853008
ISBN: 978-1-7336736-3-1
Download Paper as PDF - Download Poster as PDF
2021
- Novoseltseva, D., Wagner, K., Merceron, A. & Sauer, P., Jessel, N., Sedes, F.:
Investigating the Impact of Outliers on Dropout Prediction in Higher Education.
In Proceedings of DELFI Workshops 2021 (p.120-129).
DELFI 2021 - 19. Fachtagung Bildungstechnologien der GI.
ISBN: 978-3-946757-03-0.
Download as PDF - Wagner, K., Hilliger, I., Merceron, A. & Sauer, P.:
Eliciting Students’ Needs and Concerns about a Novel Course Enrollment Support System.
In Companion Proceedings of the 11th Learning Analytics and Knowledge Conference (LAK’21).
Workshop on Addressing Dropout Rates in Higher Education.
Download as PDF - Additional Material
2020
- Wagner, K., Merceron, A. & Sauer, P.
Erste Untersuchungen zur Notenprognose für ein Kursempfehlungssystem.
Proceedings of DELFI Workshops 2020.
Bonn: Gesellschaft für Informatik e.V.z.
DOI: 10.18420/delfi2020-ws-112
Download as PDF - Wagner, K., Merceron, A. & Sauer, P.:
Accuracy of a Cross-Program Model for Dropout Prediction in Higher Education.
In Companion Proceedings of the 10th Learning Analytics and Knowledge Conference (LAK’20), p. 744-749.
Workshop on Addressing Dropout Rates in Higher Education, Frankfurt am Main, Germany, 2020.
Download as PDF
2019
- Egbers, L., Merceron, A. & Wagner, S.:
Mining Academic Data to Support Students’ Advisors: A Preliminary Study.
In: Schulz, S. (Hrsg.), Proceedings of DELFI Workshops 2019.
Bonn: Gesellschaft für Informatik e.V.z. (S. 20).
DOI: 10.18420/delfi2019-ws-102
2020
- Brun, A., Gras, B., Merceron, A.:
Building Confidence in Learning Analytics Solutions: Two Complementary Pilot Studies
In: Adoption of Data Analytics in Higher Education Learning and Teaching, edited by D. Ifenthaler & D. Gibson, Springer,
ISBN: 978-3-030-47392-1, 2020. p. 285 -303.
