Academic Profile : Faculty
Dr Khor Ean Teng
Education Research Scientist, OER Centre for Research in Pedagogy and Practice
Research Scientist, National Institute of Education - Office of Education Research
Email
Journal Articles (Central)
Khor, E. T., & Darshan, D. (2024). Prediction of Students' Performance in Online Learning Using Supervised Machine Learning. International Journal of Information and Learning Technology, 41(2), 166-179.
Khor, E. T., & Mutthulakshmi, K. (2023). A Systematic Review of the Role of Learning Ana lytics in Supporting Personalized Learning. Education Sciences, 14(1), 1-18.
Ani, A., & Khor, E. T. (2023). Development and evaluation of predictive models for predicting students performance in MOOCs. Education and Information Technologies, Online(Online), 1-24.
Khor, E. T. (2022) . A Data Mining Approach Using Machine Learning Algorithms for Early Detection of Low Performing Students. International Journal of Information and Learning Technology, 39(2), 122-132.
Khor, E. T., & Darshan, D. (2022). A Learning Analytics Approach Using Social Network Analysis and Binary Classifiers on Virtual Resource Interactions for Learner Performance Prediction. The International Review of Research in Open and Distributed Learning, 23(4), 123-146.
Puah, S., Bin Mohmad Khalid, M. I. S., Looi, C. K., & Khor, E. T. (2021). Investigating working adults' intentions to parti cipate in microlearning using the decomposed theory of planned behaviour (DTPB). British Journal of Educational Technology., Online(Online), 1-24.
Khor, E. T. (2014). An Analysis of ODL Student Perception and Adoption Behaviour Using Technology Acceptance Model. The International Review of Research in Open and Distributed Learning, 15(6), 275-288.
Khor, E. T., & Chung, S. H. (2013). Framework for the Development of OER-Based Learning Materials in ODL Environment. Open Praxis, 5(4), 315-324.
Khor, E. T., & Mutthulakshmi, K. (2023). A Systematic Review of the Role of Learning Ana lytics in Supporting Personalized Learning. Education Sciences, 14(1), 1-18.
Ani, A., & Khor, E. T. (2023). Development and evaluation of predictive models for predicting students performance in MOOCs. Education and Information Technologies, Online(Online), 1-24.
Khor, E. T. (2022) . A Data Mining Approach Using Machine Learning Algorithms for Early Detection of Low Performing Students. International Journal of Information and Learning Technology, 39(2), 122-132.
Khor, E. T., & Darshan, D. (2022). A Learning Analytics Approach Using Social Network Analysis and Binary Classifiers on Virtual Resource Interactions for Learner Performance Prediction. The International Review of Research in Open and Distributed Learning, 23(4), 123-146.
Puah, S., Bin Mohmad Khalid, M. I. S., Looi, C. K., & Khor, E. T. (2021). Investigating working adults' intentions to parti cipate in microlearning using the decomposed theory of planned behaviour (DTPB). British Journal of Educational Technology., Online(Online), 1-24.
Khor, E. T. (2014). An Analysis of ODL Student Perception and Adoption Behaviour Using Technology Acceptance Model. The International Review of Research in Open and Distributed Learning, 15(6), 275-288.
Khor, E. T., & Chung, S. H. (2013). Framework for the Development of OER-Based Learning Materials in ODL Environment. Open Praxis, 5(4), 315-324.
Book Chapters (Central)
Khor, E. T. (2020). Features Identification and Classification of Discussion Threads in Coursera MOOC Forums. In SC Tan & SHA Chen (Eds.), Chronicles of Research and Development in Learning: Transforming Teaching and Learning in Higher Education(PP. 189-202). Singapore: Spring er.
Chung, S. H., & Khor, E. T. (2015). Development of interactive mobile-learning application in distance education via learning objects approach. In Barbucha, D., Nguyen, N. T., & Batubara, J. (Eds.), New Trends in Intelligent Information and Database Systems(PP. 373-380). Cham: Springer.
Chung, S. H., & Khor, E. T. (2015). Development of interactive mobile-learning application in distance education via learning objects approach. In Barbucha, D., Nguyen, N. T., & Batubara, J. (Eds.), New Trends in Intelligent Information and Database Systems(PP. 373-380). Cham: Springer.
Conference Papers (Central)
Conference Papers Published in Proceedings
Khor, E. T., Koh, E., & Seow, P. (2024, June). Leveraging Generative Artificial Intelligence to Support Students in Learning Programming: A Chatbot Pilot Study. In null (Ed.), Proceedings of the 18th International Conference of the Learning Sci ences, 1, 2217-2218.
Khor, E. T. (2023, May). A Data Mining Approach Using Unsupervised Learning for Profiling Students. In null (Ed.), Proceedings of the Redesigning Pedagogy International Conference 2022, 1, 301-314.
Khor, E. T. (2021, December). A Learning Analytics Conceptual Fram ework to Understand Networked Learning in The Workplace. In L. G'mez Chova, A. L'pez Mart'nez, & I. Candel Torres (Eds.), Proceedings of 13th annual International Conference on Education and New Learning Technologies, 1, 1126-1132.
Khor, E. T. (2021, November). A Learning Analytics Approach Using Clustering Data Mining for Learners Profiling to Extrapolate e-Learning Behaviours. In T. Bastiaens (Ed.), Proceedings of Innovate Learning Summit 2021, 1, 59-64.
Khor, E. T., & Looi, C. K (2019, December). A Learning Analytics Approach to Model and Predict Learners' Success in Digit al Learning. In S. Y. W. Chew, K. M. Chan, & A. Alphonso (Eds.), Proceedings of the 36th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education, 1, 476-480.
Khor, E. T. (2019, March). Predictive Models with Machine Learning Algorithms to Forecast Students' Performance. In null (Ed.), Proceedings of the 13th International Technology, Education and Development, 1, 2831-2837.
Conference Papers Without Proceedings
Koh, E., Ma, M., Zhu, G., Cai, C., Jonathan, C., Teo, C. L., Ong, A., Yuan, K. G., Lee, A. V. Y., Chu, Z., Yin, Y., Dauwels, J., & Khor, E. T. (2024, May). Learning analytics for learning: Past, Present and Future Possibilities (Symposium). Paper presented at Redesigning Pedagogy International Conference 2024, Singapore.
Pande, K., & Khor, E. T. (2024, May). Generative AI i n Self-Directed Learning: A Systematic Review. Paper presented at Redesigning Pedagogy International Conference 2024, Singapore.
Khor, E. T., Koh, E., & Seow, P. (2024, June). Leveraging Generative Artificial Intelligence to Support Students in Learning Programming: A Chatbot Pilot Study. In null (Ed.), Proceedings of the 18th International Conference of the Learning Sci ences, 1, 2217-2218.
Khor, E. T. (2023, May). A Data Mining Approach Using Unsupervised Learning for Profiling Students. In null (Ed.), Proceedings of the Redesigning Pedagogy International Conference 2022, 1, 301-314.
Khor, E. T. (2021, December). A Learning Analytics Conceptual Fram ework to Understand Networked Learning in The Workplace. In L. G'mez Chova, A. L'pez Mart'nez, & I. Candel Torres (Eds.), Proceedings of 13th annual International Conference on Education and New Learning Technologies, 1, 1126-1132.
Khor, E. T. (2021, November). A Learning Analytics Approach Using Clustering Data Mining for Learners Profiling to Extrapolate e-Learning Behaviours. In T. Bastiaens (Ed.), Proceedings of Innovate Learning Summit 2021, 1, 59-64.
Khor, E. T., & Looi, C. K (2019, December). A Learning Analytics Approach to Model and Predict Learners' Success in Digit al Learning. In S. Y. W. Chew, K. M. Chan, & A. Alphonso (Eds.), Proceedings of the 36th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education, 1, 476-480.
Khor, E. T. (2019, March). Predictive Models with Machine Learning Algorithms to Forecast Students' Performance. In null (Ed.), Proceedings of the 13th International Technology, Education and Development, 1, 2831-2837.
Conference Papers Without Proceedings
Koh, E., Ma, M., Zhu, G., Cai, C., Jonathan, C., Teo, C. L., Ong, A., Yuan, K. G., Lee, A. V. Y., Chu, Z., Yin, Y., Dauwels, J., & Khor, E. T. (2024, May). Learning analytics for learning: Past, Present and Future Possibilities (Symposium). Paper presented at Redesigning Pedagogy International Conference 2024, Singapore.
Pande, K., & Khor, E. T. (2024, May). Generative AI i n Self-Directed Learning: A Systematic Review. Paper presented at Redesigning Pedagogy International Conference 2024, Singapore.
Other Research Outputs/Projects
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
External Grant: Understanding and Promoting Networked Learning in the Workplace: A Learning Analytics Approach (GA19-09)
External Grant: Orchestration of Microlearning to Support Singapore’s Workforce in their Lifelong Learning Journey: Learner, Design and Performance (GA18-05)
External Grant: Orchestration of Microlearning to Support Singapore’s Workforce in their Lifelong Learning Journey: Learner, Design and Performance (GA18-05)