1. Recommender Systems in E-learning;Zhang Q;Smart Environ Green Comput,2021
2. Jaeger , A. J. , Wiley , J. , Moher, T, ( 2016 ), ”Leveling the playing field: Grounding learning with embedded simulations in geoscience. Cognitive Research: Principles and Implications ”, 1(1), 23. Jaeger, A. J., Wiley, J., Moher, T, (2016), ”Leveling the playing field: Grounding learning with embedded simulations in geoscience. Cognitive Research: Principles and Implications”, 1(1), 23.
3. Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data
4. Ngai Cheong , ( 2022 ), “ Personalized Learning in Science Recommendation System Based on Students’ Preferences ”, The proceedings of 2022 3rd International Conference on Education Development and Studies , pp. 22 - 27 . Ngai Cheong, (2022), “Personalized Learning in Science Recommendation System Based on Students’ Preferences”, The proceedings of 2022 3rd International Conference on Education Development and Studies, pp.22-27.
5. Ngai Cheong , ( 2021 ), “ Knowledge-based Recommender System of Conceptual Learning in Science ”, The proceedings of 5th International Conference on Education and E-Learning , pp. 9 - 15 . Ngai Cheong, (2021), “Knowledge-based Recommender System of Conceptual Learning in Science”, The proceedings of 5th International Conference on Education and E-Learning, pp.9-15.