Predicting Student Performance in a Programming Tutoring System Using AI and Filtering Techniques
Author:
Affiliation:
1. Faculty of Information Technologies, Alfa BK University, Belgrade, Serbia
2. School of Business, University of South-Eastern Norway, Vestfold, Norway
Funder
Norwegian Directorate for Higher Education and Skills
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/4620076/10376229/10608149.pdf?arnumber=10608149
Reference134 articles.
1. An efficient use of ensemble methods to predict students academic performance
2. Personalisation methods in e‐learning‐A literature review
3. Student-Performulator: Student Academic Performance Using Hybrid Deep Neural Network
4. Predicting students' final performance from participation in on-line discussion forums
5. A systematic literature review on student performance predictions
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