Publikationen
Li, X., Fan, Y., Li, T., Raković, M., Singh, S., Graaf, J. van der, Lim, L., Moore, J., Molenaar, I., Bannert, M., & Gašević, D. (2025). FLoRA engine: Using Analytics to Measure and Facilitate Learners’ Own Regulation Activities. Journal of Learning Analytics, 1–24. DOI:10.18608/jla.2025.8349
Athavale, S., Lim, L., & Bannert, M. (2024). Design, Analysis and Results of TUM-CELLA-Study 2. Unpublished Report. TUM School of Social Sciences and Technology, Technical University of Munich.
Athavale, S., Lim, L., & Bannert, M. (2023). Design, Analysis and Results of TUM-CELLA-Study 1. Unpublished Report. TUM School of Social Sciences and Technology, Technical University of Munich.
Lim, L., van der Graaf, J., Fan, Y., Singh, S., Li, X., Raković, M., Moore, J., Molenaar, I., Gašević, D, & Bannert, M. (2023). Facilitating Self-Regulated Learning with Personalized Scaffolds on Student’s own Regulation Activities (FLoRA). Unpublished Final Project Report. TUM School of Social Sciences and Technology, Technical University of Munich.
Osakwe, I., Chen, G., Fan, Y., Rakovic, M., Singh, S., Lim, L., van der Graaf, J., Moore, J., Molenaar, I., Bannert, M., Whitelock-Wainwright, A., & Gašević, D. (2023). Towards prescriptive analytics of self-regulated learning strategies: A reinforcement learning approach. British Journal of Educational Technology, DOI:10.1111/bjet.13429
Lim, L., Bannert, M., van der Graaf, J., Fan, Y., Rakovic, M., Singh, S., Molenaar, I., & Gašević, D. (2023). How do students learn with real-time personalized scaffolds? British Journal of Educational Technology, DOI:10.1111/bjet.13414
Van der Graaf, J., Raković, M., Fan, Y., Lim, L., Singh, S., Bannert, M., Gašević, D., & Molenaar, I. (2023). How to design and evaluate personalized scaffolds for self-regulated learning. Metacognition and Learning. DOI:10.1007/s11409-023-09361-y
Li, T., Fan, Y., Tan, Y., Wang, Y., Singh, S., Li, X., Raković, M., Lim, L., Yang, B., Molenaar, I., Bannert, M., Moore, J., Swiecki, Z., Tsai, Y., Shaffer, D. W., & Gašević, D. (2023). Analytics of self-regulated learning scaffolding: Effects on learning processes. Frontiers in Psychology, 14, 1206696. DOI:10.3389/fpsyg.2023.1206696
Raković, M., Iqbal, S., Li, T., Fan, Y., Singh, S., Surendrannair, S., Kilgour, J., van der Graaf, J., Lim, L., Molenaar, I., Bannert, M., Moore, J., & Gašević, D. (2023). Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task. Journal of Computer Assisted Learning, 39(3), 703-718. DOI:10.1111/jcal.12769
Lim, L. (2023). Scaffolding Self-Regulated Learning with Advanced Learning Technologies: Laying the Groundwork and Testing Effects of Personalized Scaffolds [Doctoral dissertation, Technical University of Munich]. mediaTUM.
Fan, Y., Raković, M., van der Graaf, J., Lim, L., Singh, S., Kilgour, J., Moore, J., Molenaar, I., Bannert, M., & Gašević, D. (2023). Towards a fuller picture: Triangulation and integration of the measurement of Self-regulated Learning based on trace and think aloud data. Journal of Computer Assisted Learning, 1-22. DOI:10.1111/jcal.12801
Lim, L., Bannert, M., van der Graaf, J., Singh, S., Fan, Y., Surendrannair, S., Rakovic, M., Molenaar, I., Moore, J., & Gašević, D. (2022). Effects of real-time analytics-based personalized scaffolds on students’ self-regulated learning. Computers in Human Behavior, 139 (2023), 107547. DOI:10.1016/j.chb.2022.107547
Fan, Y., Lim, L., van der Graaf, J., Kilgour, J., Bannert, M., Molenaar, I., Moore, J., & Gašević, D. (2022). Improving the measurement of self-regulated learning using multi-channel data. Metacognition and Learning. DOI:10.1007/s11409-022-09304-z
van der Graaf, J., Lim, L., Fan, Y., Kilgour, J., Moore, J., Gašević, D., Bannert, M., & Molenaar, I. (2022). The dynamics between self-regulated learning and learning outcomes: an exploratory approach and implications. Metacognition and Learning. DOI:10.1007/s11409-022-09308-9
Fan, Y., van der Graaf, J., Lim, L., Kilgour, J., Rakovic, M., Singh, S., Moore, J., Molenaar, I., Bannert, M., & Gašević, D. (2022). Towards investigating the validity of measurement of self-regulated learning based on trace data. Metacognition and Learning. DOI: 10.1007/s11409-022-09291-1
Srivastava, N., Fan, Y., Raković, M., Singh, S., Jovanovic, J., van der Graaf, J., Lim, L., Surendrannair, S., Kilgour, J., Molenaar, I., Bannert, M., Moore, J., & Gašević, D. (2022). Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study. In Companion Proceedings of the 12th International Conference on Learning Analytics & Knowledge (LAK22), 392-403. DOI: 10.1145/3506860.3506972
Raković, M., Fan, Y., van der Graaf, J., Singh, S., Kilgour, J., Lim, L., Moore, J., Bannert, M., Molenaar, I., & Gašević, D. (2022). Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources. In Wise, A., Martinez-Maldonado, R., & Hilliger, I. In Companion Proceedings of the 12th International Conference on Learning Analytics & Knowledge (LAK22), 130-131.DOI/10.1145/3506860.3506876
Lim, L., Bannert, M., van der Graaf, J., Molenaar, I., Fan, Y., Kilgour, J., Moore, J., & Gašević, D. (2021). Temporal Assessment of Self-Regulated Learning by Mining Students’ Think Aloud Protocols. Frontiers in Psychology, 12, 5122. DOI.org/10.3389/fpsyg.2021.749749
Singh, S., Raković, M., Fan, Y., van der Graaf, J., Lim, L., Kilgour, J., Bannert, M., Molenaar, I., Moore, J., & Gašević, D. (2021). Using Enhanced Learner-Facing Visual Interfaces to Support Self-regulated Learning. In Companion Proceedings of the 11th International Conference on Learning Analytics & Knowledge (LAK21), 61-63.
van der Graaf, J., Molenaar, I., Lim, L., Bannert, M., Fan, Y. , Kilgour, J., Moore, J., & Gasevic, D. ( 2021). Do Instrumentation Tools Capture Self-Regulated Learning? In Companion Proceedings of the 11th International Conference on Learning Analytics & Knowledge (LAK21), 438-448. DOI:10.1145/3448139.3448181
Fan, Y., Lim, L., van der Graaf, J., Kilgour, J., Engelmann, K., Bannert, M., Molenaar, I., Moore, J., & Gasevic, D. (2020). Measuring Micro-Level Self-Regulated Learning Processes with Enhanced Log Data and Eye Tracking Data. In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK20), 433–436.
Lim, L., van der Graaf, J., Fan, Y., Engelmann, K., Bannert, M., Molenaar, I., Gasevic, D., & Moore, J. (2020). Triangulating Multimodal Data to Measure Self-Regulated Learning. In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK20), 98-100.
Lim, K. P., (2018). Metacognitive Prompting and Reading Behavior during Self-Regulated Learning. Unpublizierte Masterarbeit. Technische Universität München, Deutschland.