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ALE: Additive Latent Effect Models for Grade Prediction
[chapter]
2018
Proceedings of the 2018 SIAM International Conference on Data Mining
The past decade has seen a growth in the development and deployment of educational technologies for assisting college-going students in choosing majors, selecting courses and acquiring feedback based on past academic performance. Grade prediction methods seek to estimate a grade that a student may achieve in a course that she may take in the future (e.g., next term). Accurate and timely prediction of students' academic grades is important for developing effective degree planners and early
doi:10.1137/1.9781611975321.54
dblp:conf/sdm/RenNR18
fatcat:ctctv4edazhmvkiklyxhimaouu