Publisher
Springer International Publishing
Reference49 articles.
1. Adadi, A., & Berrada, M. (2018). Peeking inside the black-box: A survey on explainable artificial intelligence (XAI). IEEE Access, 6, 52138–52160.
2. Ahn, J., Campos, F., Hays, M., & Digiacomo, D. (2019). Designing in context: Reaching beyond usability in learning analytics dashboard design. Journal of Learning Analytics, 6(2), 70–85.
3. Alamri, R., & Alharbi, B. (2021). Explainable student performance prediction models: A systematic review. IEEE Access, 9, 33132–33143.
4. Bahr, P. R. (2008). Cooling out in the community college: What is the effect of academic advising on students’ chances of success? Research in Higher Education, 49(8), 704–732.
5. Braxton, J., Doyle, W. R., Hartley, H. V. I., Hirschy, A. S., Jones, W. A., & McLendon, M. (2014). Rethinking college student retention. Jossey-Bass.