Predicting Students’ Future Success: Harnessing Clickstream Data with Wide & Deep Item Response Theory
- Author(s):
- Pu, Shi; Yan, Yu; Zhang, Brandon
- Publication Year:
- 2024
- Source:
- Journal of Educational Data Mining, v16 n2 p1-31, 2024
- Document Type:
- Article
- Page Count:
- 31
- Subject/Key Words:
- Item Response Theory (IRT), Student Models, Clickstream Data, Prediction, Knowledge Tracing, Student Ability, Wide & Deep Item Response Theory (Wide & Deep IRT)