Journal Papers
[1] Lim, L., Bannert, M., van der Graaf, J., Molenaar, I., Fan, Y., Kilgour, J., Moore, J. and Gašević, D. (2021). Temporal Assessment of Self-Regulated Learning by Mining Students’ Think-Aloud Protocols. Frontiers in Psychology, 12. [View pdf]
[2] 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, 1-27. https://doi.org/10.1007/s11409-022-09308-9 [View pdf]
[3] Fan, Y., van der Graaf, J., Lim, L., Raković, M., Singh, S., Kilgour, J., Moore, J., Molenaar, I., Bannert, M., & Gašević, D. Towards investigating the validity of measurement of self-regulated learning based on trace data. Metacognition Learning (2022). https://doi.org/10.1007/s11409-022-09291-1 [View pdf]
[4] Fan, Y., Lim, L., van der Graaf, J., Kilgour, J., Raković, M., Moore, J., Molenaar, I., Bannert, M., & Gašević, D. Improving the measurement of self‑regulated learning using multi‑channel data. Metacognition Learning (2022). https://doi.org/10.1007/s11409-022-09304-z [View pdf]
[5] Lim, L., Bannert, M., van der Graaf, J., Singh, S., Fan, Y., Surendrannair, S., Raković, M., Molenaar, I., Moore, J. , Gašević, D. (2023). Effects of real-time analytics-based personalized scaffolds on students’ self-regulated learning. Computers in Human Behavior, 139, 107547. doi:10.1016/j.chb.2022.107547 [View pdf]
[6] Raković, M., Iqbal, S., Li, T., Fan, Y., Singh, S., Surendrannair, S., Kilgour, J., van Der Graaf, Joep., Lim, L., Molenaar, I., Bannert, M. & Gašević, D. (2022). Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi‐text writing task. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12769 [View pdf]
[7] Fan, Y., Rakovic, M., van Der Graaf, J., Lim, L., Singh, S., 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. doi:https://onlinelibrary.wiley.com/doi/full/10.1111/jcal.12801 [View pdf]
[8] 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
[9] Lim, L., Bannert, M., Van der Graaf, J., Fan, Y., Raković, M., Singh, S., Molenaar, I., & Gašević, D. (in press). How do students learn with real-time personalized scaffolds? British Journal of Educational Technology.
[10] 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
[11] van der Graaf, J., Taub, M. & Fan, Y. Introduction to special issue on facilitating self-regulated learning with scaffolds: Recent advances and future directions. Metacognition Learning (2023). https://doi.org/10.1007/s11409-023-09364-9
Conference Papers
[1] Raković, M., Fan, Y., van der Graaf, J., Singh, S., Kilgour, J., Lim, L., Moore, J., Bannert, M., Molenaar, I. and Gašević, D. (2022, March). Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources In Proceedings of the 12th International Conference on Learning Analytics & Knowledge (pp. 130-141). [View pdf]
[2] 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., and Gašević, D. (2022, March). Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study In Proceedings of the 12th International Conference on Learning Analytics & Knowledge (pp. 392-402). [View pdf]
[3] van der Graaf, J., Molenaar, Lim L., I., Fan, Y.,Kilgour, J., Moore, J., Gasevic, D. & Bannert, M. (2021, April). Do Instrumentation Tools Capture Self-Regulated Learning? In Proceedings of the 11th International Conference on Learning Analytics & Knowledge (pp. 438-448). [View pdf]
[4] Lim, L., van der Graaf, J., Fan, Y., Engelmann, K., Bannert, M., Molenaar, I., Gasevic, D. & Moore, J. (2020, March). Triangulating Multimodal Data to Measure Self-Regulated Learning. In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (pp.95-100). [View pdf]
[5] Fan, Y., Lim, L., van der Graaf, J., Kilgour, J., Engelmann, K., Bannert, M., Molenaar, I., Moore, J. & Gasevic, D. (2020, March). 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 (pp.433-436). [View pdf]
Workshop Papers, Posters & Demos
[1] van der Graaf, J., Molenaar, Lim L., I., Fan, Y.,Katharina E., Gasevic, D. & Bannert, M. (2020, March). Facilitating Self-Regulated Learning with Personalized Scaffolds on Student’s own Regulation Activities. In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (pp.478-480). [View pdf]
[2] Singh, S., Rakovic, M., Lim, K.P., van der Graaf, J., Fan, Y.,Kilgour, J., Bannert, M., Molenaar, I., Gasevic, D. & Moore, J. (2021, April). Using Enhanced Learner-facing Visual Interfaces to support Self-regulated Learning. In Companion Proceedings of the 11th International Conference on Learning Analytics & Knowledge (pp. 61-63). [View pdf]
[3] Lim, L., van der Graaf, J., Fan, Y., Engelmann, K., Bannert, M., Molenaar, I., Gasevic, D., & Moore, J. (2020, March). Triangulating Multimodal Data to Measure Self-Regulated Learning. Poster presentation at the 10th International Learning Analytics & Knowledge Conference, Frankfurt, Germany, March 23-27, 2020.
[4] van der Graaf, J., Molenaar, I., Lim, L., Fan, Y., Engelmann, K., Gašević, D., Bannert, M. (2020, March). Facilitating self-regulated learning with personalized scaffolds on student’s own regulation activities. CrossMMLA in practice workshop at the 10th International Learning Analytics & Knowledge Conference, Frankfurt, Germany, March 23-27, 2020.
[5] Fan, Y., Lim, L., van der Graaf, J., Kilgour, J., Engelmann, K., Bannert, M., Molenaar, I., Moore, J., & Gasevic, D. (2020, March). Measuring Micro-Level Self-Regulated Learning Processes with Enhanced Log Data and Eye Tracking Data. In Companion Proceedings 10th International Conference on Learning Analytics & Knowledge (LAK20). 433–436.
[6] Joep van der Graaf, Inge Molenaar (2019, September). Facilitating self-regulated learning with personalized scaffolds on student’s own regulation activities. CrossMMLA in practice workshop at the 14th European Conference on Technology Enhanced Learning, Delft, the Netherlands, September 16-17, 2020.
[7] Lim, K.P., Engelmann, K., Bannert, M. (2019, August). Self-regulated learning and feedback on students’ learning processes. Poster presentation at the JURE Pre-conference of the 18th Biennial EARLI Conference for Research on Learning and Instruction, Aachen, Germany, August 12-16, 2019.
[8] Singh, S., Fan, Y., van der Graaf, J., Rakovic, M., Lim, L. ,Kilgour, J., Bannert, M., Molenaar, I., Gasevic, D. & Moore, J . Workshop on the Instrumentation and Feedback for Self-Regulated Learning. EC-TEL 2022, 12th September 2022, Toulouse , France. URL: https://sites.google.com/monash.edu/ectel22-workshop-srl
[9] Fan, Y., Rakovic, M., Singh, S., Wiedbusch, M., Dever, D., Li, X., van der Graaf, J., Lim, L. , Molenaar, I., Bannert, M., Azevedo R. & Gasevic, D. (2022, March). LAK23 Trace-SRL: The Workshop on Measuring and Facilitating Self-regulated Learning based on Trace data. In Companion Proceedings of 13th International Learning Analytics and Knowledge Conference (LAK23) (pp. 283-287). URL: https://sites.google.com/monash.edu/lak23-trace-srl
Symposiums
[1] Fan, Y., Li, T., Tan, Y., Rakovic, M., van der Graaf, J., Lim, L., Singh, S., Moore, J., Molenaar, I., Bannert, M., & Gašević, D. (2023, August). Evaluating the Effectiveness of Personalized Scaffoldings on SRL using Ordered Network Analysis. Paper presented at the 20th Biennial EARLI Conference for Research on Learning and Instruction, Thessaloniki, Greece, August 22-26, 2023.
[2] Fan, Y., Rakovic, M., van der Graaf, J., Lim, L., Singh, S., Moore, J., Molenaar, I., Bannert, M., & Gašević, D. (2023, August). Triangulation and Integration of Measuring Self-regulated Learning with Trace and Think Aloud Data. In L. von Keyserlingk (Chair), Self-regulated Learning at Different Levels of Granularity: From Single Lessons to Entire Lectures. Symposium presented at the 20th Bienial EARLI Conference for Research on Learning and Instruction, Thessaloniki, Greece, August 22-26, 2023.
[3] Lim, L., Bannert, M., van der Graaf, J., Fan, Y., Rakovic, M., Singh, S., Molenaar, I, Moore, J., & Gašević, D. (2023, August). Investigating How Real-Time Personalized Scaffolds Influence Self-Regulated Learning Processes. In R. Azevedo & M. Bannert (Chairs), Advancing Self-Regulated Learning Research with AI: Implications from Multimodal Trace Studies. Symposium presented at the 20th Biennial EARLI Conference for Research on Learning and Instruction, Thessaloniki, Greece, August 22-26, 2023.
[4] Rakovic, 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, August). Understanding and supporting writing processes with trace data. Paper presented at the 20th Biennial EARLI Conference for Research on Learning and Instruction, Thessaloniki, Greece, August 22-26, 2023.
[5] van der Graaf, J., Lim, L., Fan, Y., Singh, S., Rakovic, M., Moore, J., Gašević, D., Bannert, M., & Molenaar, I. (2023, August). The Effect of Generalised and Personalised Scaffolds on Self-Regulated Learning. Paper presented at the 20th Biennial EARLI Conference for Research on Learning and Instruction, Thessaloniki, Greece, August 22-26, 2023.
[6] van der Graaf, J., Rakovic, M., Fan, Y., Lim, L., Singh, S., Moore, J., Gašević, D., Bannert, M., & Molenaar, I. (2023, August). Using Learning Analytics and Artificial Intelligence (AI) to Scaffold Self-Regulated Learning. In L. Catrysse (Chair), Process Measures in the era of Artificial Intelligence. Symposium presented at the 20th Biennial EARLI Conference for Research on Learning and Instruction, Thessaloniki, Greece, August 22-26, 2023.
[7] Lyn Lim, Maria Bannert, Joep van der Graaf, Shaveen Singh, Yizhou Fan, Surya Surendrannair, Mladen Rakovic, Inge Molenaar, Johanna Moore, Dragan Gašević. Effects of Personalized Scaffolds on Self-Regulated Learning based on Students’ Learning Processes. In D. Gašević & S. Järvelä (Chairs), Supporting self-regulated learning with data analytics and artificial intelligence. Symposium presented at the EARLI Special Interest Group 27, Southhampton, United Kingdom, August 30-September 1, 2022.
[8] Yizhou Fan, Yi-Shan Tsai, Tongguang Li, Shaveen Singh, Mladen Raković, Joep van der Graaf, Lyn Lim, Inge Molenaar, Maria Bannert, Johanna Moore and Dragan Gašević. When and why learners benefit from personalised scaffoldings for self-regulated learning: a qualitative study. In D. Gašević & S. Järvelä (Chairs), Supporting self-regulated learning with data analytics and artificial intelligence. Symposium presented at the EARLI Special Interest Group 27, Southhampton, United Kingdom, August 30-September 1, 2022.
[9] Fan, Y., van der Graaf, J., Lim, L., Kilgour, J., Rakovic, M., Singh, S., Moore, J., Molenaar, I, Bannert, M., & Gasevic, D. (2022, April). Toward Improving the Validity of Measurement of Self-Regulated Learning Based on Trace Data. In M. Bernacki (Chair), Authenticating the signal: Validating Digital Traces of Student Learning Using Concurrent, Corroborating Data Sources. Symposium presented at the Annual Meeting of the American Educational Research Association (AERA) “Cultivating Equitable Education Systems for the 21st Century”, San Diego, California, April 21-26, 2022.
[10] van der Graaf, J.: Symposium FLoRA: New Ways of Measuring Self-Regulated Learning (URL: https://www.earli.org/EARLI2021)
Chair:
Joep van der Graaf, Radboud University Nijmegen, Netherlands
Organiser:
Joep van der Graaf, Radboud University Nijmegen, Netherlands
Discussant:
Philip Winne, Simon Fraser University, Canada
Contributions:
- Fan, Y., Lim, L., van der Graaf, J., Kilgour, J., Moore, J., Gasevic, D., Bannert, M., & Molenaar, I. (2021, August 23-27). Improving the granularity for the measurement of self-regulated learning using multi-channel data. In J. van der Graaf (Chair), New ways of measuring, analysing and scaffolding Self-Regulated Learning [Symposium]. 19th Biennial EARLI Conference for Research on Learning and Instruction, Gothenburg, Sweden.
- Lim, L., Bannert, M., van der Graaf, J., Fan, Y., Kilgour, J., Molenaar, I, Moore, J., & Gasevic, D. (2021, August 23-27). Understanding Self-Regulated Learning Processes through Process Mining. In J. van der Graaf (Chair), New ways of measuring, analysing and scaffolding Self-Regulated Learning [Symposium]. 19th Biennial EARLI Conference for Research on Learning and Instruction, Gothenburg, Sweden.
- van der Graaf, J., Lim, L., Fan, Y., Kilgour, J., Moore, J., Gasevic, D., Bannert, M., & Molenaar, I. (2021, August 23-27). How Self-Regulated Learning Affects Different Learning Outcomes. In J. van der Graaf (Chair), New ways of measuring, analysing and scaffolding Self-Regulated Learning [Symposium]. 19thBiennial EARLI Conference for Research on Learning and Instruction, Gothenburg, Sweden
- Singh, S., Rakovic, M., Fan, Y., Lim, L., van der Graaf, J., Kilgour, J., Molenaar, I, Moore, J., Bannert, M., & Gasevic, D. (2021, August 23-27). Visualising student’s learning strategies in online learning to support self-regulation. In J. van der Graaf (Chair), New ways of measuring, analysing and scaffolding Self-Regulated Learning [Symposium]. 19th Biennial EARLI Conference for Research on Learning and Instruction, Gothenburg, Sweden.
[11] Bannert, M., Lim, L., van der Graaf, J., Fan, Y., Kilgour, J., Molenaar, I, Moore, J., & Gasevic, D. (2021, August 23-27). Multimodal Data Analysis of Student’s own Regulation Activities to Advance Personalized Scaffolds. In S. Järvelä (Chair), Leveraging SRL research into intelligent learning technologies[Symposium]. 19th Biennial EARLI Conference for Research on Learning and Instruction, Gothenburg, Sweden.
[12] Lim, L., Bannert, M., van der Graaf, J., Molenaar, I., Fan, Y. , Kilgour, J., Moore, J., & Gasevic, D. (2021, May). Understanding Self-Regulated Learning Processes Through Process Mining. Presentation at the EARLI Special Interest Group 16 Online Meetings, May 11-27, 2021.
[13] van der Graaf, J., Lim, L., Fan, Y. , Kilgour, J., Moore, J., Gašević, D., Bannert, M., & Molenaar, I., (2021, May). How Self-Regulated Learning Affects Different Learning Outcomes. Presentation at the EARLI Special Interest Group 16 Online Meetings, May 11-27, 2021.
[14] Fan, Y., Lim, L., Van der Graaf, J., Kilgour, J., Moore, J., Molenaar, I., Bannert, M., & Gašević, D. (2020, December). Improving the measurement of self-regulated learning using multi-channel data. Presentation at the EARLI Special Interest Group 27 Online Meetings, December 14-16, 2020.
[15] Van der Graaf, J., Molenaar, I., Lim, L., Fan, Y., Kilgour, J., Moore, J., Gašević, D., & Bannert, M. (2020, December). Online Measurement of Self-Regulated Learning with Instrumentation Tools and Eye tracking. Presentation at the EARLI Special Interest Group 27 Online Meetings, December 14-16, 2020.
Dissertation
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]. https://mediatum.ub.tum.de/?id=1691349