1. Evolving Towards a Trustworthy AIEd Model to Predict at Risk Students in Introductory Programming Courses;Proceedings of the 2023 Conference on Human Centered Artificial Intelligence: Education and Practice;2023-12-14
2. An Ensemble Modeling Approach to Enhance Grade Prediction in Academic Engineering Programming Courses;VFAST Transactions on Software Engineering;2023-11-13
3. Clusters of Solvers' Behavioral Patterns Based on Analysis of the Programming Process;2023 IEEE Frontiers in Education Conference (FIE);2023-10-18
4. Ultra-Lightweight Early Prediction of At-Risk Students in CS1;Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1;2023-03-02
5. Using the Ensemble Approach, Predict Students' Achievement;2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART);2022-12-16