Publications

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] Joep van der Graaf, Lyn Lim, Yizhou Fan, Jonathan Kilgour, Johanna Moore, Dragan Gašević, Maria Bannert, Inge Molenaar. How Self-Regulated Learning Affects Different Learning Outcomes. (under review). [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]

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. Using Process Mining to Deepen Understanding of Self-Regulated Learning. Poster presentation at the 11th International Learning Analytics & Knowledge Conference, Newport Beach, California, USA, April 12-16, 2021.

[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. Poster presentation at the 10th International Learning Analytics & Knowledge Conference, Frankfurt, Germany, March 23-27, 2020.

[5] 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.

[6] 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.

[7] 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.

[8] 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.

Symposiums

[1] 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.

[2] 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.

[3] 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.

[4] 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.

[5] 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.

[6] 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.