Our Research Publications

ATLAS Publications

Read our publications below.

Qiu, W., Chit, L. S., Jamil, N. B., Thway, M., Hwee, S. N. S., Zhang, L., ... & Lai, J. W. (2024). A Systematic Approach to Evaluate the Use of Chatbots in Educational Contexts: Learning Gains, Engagements and Perceptions. Preprint. DOI: 10.35542/osf.io/7yga3

Lai, J. W., Qiu, W., Thway, M., Zhang, L., Jamil, N. B., Su, C. L., … Lim, F. S. (2024, June 15). Leveraging Process-Action Epistemic Network Analysis to Illuminate Student Self-Regulated Learning with a Socratic Chatbot. Preprint. DOI: 10.35542/osf.io/b9vq6

Lai, J. W., Zhang, L., Chan, Y. S., Sze, C. C., & Lim, F. S. (2024). COMPELLING EDUCATIONAL OFFERINGS: A STUDY ON THE EFFICACY OF SKILLS IDENTIFICATION PLATFORMS WITH COURSE DESCRIPTIONS. In INTED2024 Proceedings (pp. 2553-2561). IATED. DOI: 10.21125/inted.2024.0709

Qiu, W., Su, C. L., Jamil, N. B., Ng, S. S. H., Chen, C. M., & Lim, F. S. (2024). " I AM HERE TO GUIDE YOU": A DETAILED EXAMINATION OF LATE 2023 GEN-AI TUTORS CAPABILITIES IN STEPWISE TUTORING IN AN UNDERGRADUATE STATISTICS COURSE. In INTED2024 Proceedings (pp. 3761-3770). IATED. DOI: 10.21125/inted.2024.0984

Lim, Z. Y., Munshi, T., Yap, J. H., Mishra, A., Lai, J. W., Yeo, D. J., & Cheong, K. H. (2024). Using opinion dynamics to identify groups for targeted intervention in lifelong learning: A case study of SkillsFuture in Singapore. International Journal of Modern Physics B, 38(20), 2450257. DOI: 10.1142/S0217979224502576

Lai, J. W. (2024). Adapting Self-Regulated Learning in an Age of Generative Artificial Intelligence Chatbots. Future Internet, 16(6), 218. DOI: 10.3390/fi16060218

Qiu, W., Khong, A. W., & Lim, F. S. (2024, May). Enhanced Student-graph Representation for At-risk Student Detection. In 2024 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 1-5). IEEE. DOI: 10.1109/ISCAS58744.2024.10557981

Lim, Z. Y., Yap, J. H., Lai, J. W., Mokhtar, I. A., Yeo, D. J., & Cheong, K. H. (2024). Advancing Lifelong Learning in the Digital Age: A Narrative Review of Singapore’s SkillsFuture Programme. Social Sciences, 13(2), 73. DOI: 10.3390/socsci13020073

Yee, B. L. C., Hou, C., Zhu, G., Lim, F. S., Lyu, S., & Fan, X. (2023, June). A Software platform for evaluating Student essays in Interdisciplinary learning with topic classification techniques. In International Conference on Artificial Intelligence in Education (pp. 645-651). Cham: Springer Nature Switzerland. DOI: 10.1007/978-3-031-36336-8_100

Qiu, W., Khong, A. W., Supraja, S., & Tang, W. (2023). A Dual-Mode Grade Prediction Architecture for Identifying At-Risk Students. IEEE Transactions on Learning Technologies. DOI: 10.1109/TLT.2023.3333029

Lim, Z. Y., Lai, J. W., Yap, J. H., Mishra, A., Mokhtar, I. A., Yeo, D. J., & Cheong, K. H. (2023). Unraveling the dynamics of lifelong learning in Singapore: A comparative study. Knowledge, 3(3), 449-460. DOI: 10.3390/knowledge3030030

Wei Qiu, S. Supraja, & Andy W. H. Khong. (2022). Toward Better Grade Prediction via A2GP - An Academic Achievement Inspired Predictive Model. Proceedings of the 15th International Conference on Educational Data Mining, 195--205. DOI: 10.5281/zenodo.6852983

Li, J., Supraja, S., Qiu, W., & Khong, A. W. (2022). Grade Prediction via Prior Grades and Text Mining on Course Descriptions: Course Outlines and Intended Learning Outcomes. International Educational Data Mining Society. DOI: 10.5281/zenodo.6853170