Showing results 1 - 5 out of 5
2024
Roski, M., Ewerth, R., Hoppe, A., & Nehring, A. (2024). Exploring Data Mining in Chemistry Education: Building a Web-Based Learning Platform for Learning Analytics. Journal of Chemical Education, 101(3), 930-940. Advance online publication. https://doi.org/10.1021/acs.jchemed.3c00794
Roski, M., Sebastian, R. J., Ewerth, R., Hoppe, A., & Nehring, A. (2024). Learning analytics and the Universal Design for Learning (UDL): A clustering approach. Computers & education, 214, Article 105028. Advance online publication. https://doi.org/10.1016/j.compedu.2024.105028
2023
Roski, M., Sebastian, R. J., Ewerth, R., Hoppe, A., & Nehring, A. (2023). Dropout Prediction in a Web Environment Based on Universal Design for Learning. In N. Wang, G. Rebolledo-Mendez, N. Matsuda, O. C. Santos, & V. Dimitrova (Eds.), Artificial Intelligence in Education - 24th International Conference, AIED 2023, Proceedings: 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023, Proceedings (pp. 515–527). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13916 LNAI). Springer, Cham. https://doi.org/10.1007/978-3-031-36272-9_42
Roski, M., & Nehring, A. (2023). Ich sehe was, was du nicht siehst. didacta Digital, 12-15. https://avr-emags.de/emags/didactaDIGITAL/didactaDIGITAL_0223/#14
2021
Roski, M., Walkowiak, M., & Nehring, A. (2021). Universal Design for Learning: The More, the Better? Education Sciences, 11(4), Article 164. https://doi.org/10.3390/educsci11040164
