Lyn Lim

Dr. Lyn Lim Foto: Privat

Dr. Lyn Lim

Leiterin der Nachwuchsgruppe ATLaS

E-Mail: lyn.lim

Universitätsstraße 27 – PRG / Building 5
Raum B 111 (1st floor)
58097 Hagen

Was ist meine Rolle in CATALPA?

Als Bildungspsychologin begeistere ich mich dafür, fortschrittliche Technologien einzusetzen, um das Lernen und Lehren zu optimieren. In meiner Forschung kombiniere ich theoriegeleitete, prozessorientierte Bewertung mit multimodalen Daten und Lernanalysen. So versuche ich, Lernprozesse zu verstehen und die gewonnenen Erkenntnisse in adaptive Lernhilfen zu übersetzen. Diese sollen selbstreguliertes Lernen und sinnvolle Partnerschaften zwischen Mensch und KI fördern. Bei CATALPA leite ich die Nachwuchsforschungsgruppe ATLaS (Adaptive Teaching, Learning, and Support).

Warum CATALPA?

CATALPA bietet eine einzigartige Kombination aus konstruktivem, interdisziplinärem Austausch und der strukturellen Unterstützung, die für meine Arbeit nötig ist. Dies zeigt sich in den Projekten, der Infrastruktur und den Qualifizierungsprogrammen. CATALPAs Anspruch, evidenzbasierte Interventionen in technologiegestützten Lernkontexten umzusetzen und in die Breite zu tragen, ist besonders beeindruckend. Mein Ziel bei CATALPA ist es, die Verbindung zwischen Theorie, prozessorientierter Erfassung und Praxis zu stärken. Ich trage dazu bei, Ansätze und Kooperationen zu fördern, die skalierbare, lernerzentrierte Unterstützung ermöglichen.

    • Leiterin der Nachwuchsforschungsgruppe "ATLaS (Adaptive Teaching, Learning, and Support)" bei CATALPA (seit 02/2026)
    • Postdoktorandin am Lehrstuhl für Lehren und Lernen mit Digitalen Medien, TUM School of Social Sciences and Technology, Technische Universität München (TUM) (04/2023 – 01/2026)
    • Promotion im Fach Bildungspsychologie (Ph.D.) an der TUM School of Social Sciences and Technology, Technische Universität München (09/2018 – 03/2023)
    • Dissertationsthema: „Selbstreguliertes Lernen mit fortschrittlichen Lerntechnologien fördern: Setzen der Grundlage und Testen der Effekte von personalisierten Lernhilfen“ (summa cum laude)
    • Masterstudium in Lehr- und Lernforschung (Research in Teaching and Learning) (M.Ed.) an der Technischen Universität München (10/2015 – 04/2018)
    • Masterarbeit: „Metacognitive Prompting and Reading Behavior during Self-Regulated Learning“
    • Bachelor-Studium in Psychologie (B.A.) an der University at Buffalo, The State University of New York (08/2007 –09/2010)
    • Senior-Trainingsspezialistin, Pathlight School, Autism Resource Centre, Singapur (2011 - 2015)
    • Wissenschaftliche Mitarbeiterin, Ministry of Education, Singapur (Educational Technology Division) (2010 - 2011)

  • Promotionspreis 2023

    Der "Promotionspreis" für herausragende Doktorarbeiten und Dissertationen wird von den Freunden der TUM e. V. verliehen.

    Nominiert von der School of Social Sciences and Technology für den Preis und als eine der sieben Preisträgerinnen und Preisträger des Jahres 2023 vom Vorstand des Freunde der TUM e. V. ausgewählt.

    Kulturpreis Bayern 2023 - Dissertation

    Nominiert vom Graduiertenzentrum der School of Social Sciences and Technology (1 Nominierte/r ausgewählt von der Fakultät) für den Kulturpreis Bayern 2023 in der Kategorie "Universität". Es werden die besten Doktorarbeiten ausgezeichnet.

    Der "Kulturpreis Bayern" wird vom Bayerischen Staatsministerium für Wissenschaft und Kunst (StMWK - Bayerisches Staatsministerium für Wissenschaft und Kunst) und dem Bayernwerk verliehen.

    Ehrenurkunde der TUM für Exzellenz in der Lehre (2021)

    Nominierung für den "Preis für gute Lehre", der jährlich vom Bayerischen Staatsministerium für Wissenschaft und Kunst verliehen wird, um die besten Universitätsdozenten in Bayern zu ehren.

    Verleihung der Ehrenurkunde der TUM für Exzellenz in der Lehre in Anerkennung herausragender Leistungen in der akademischen Lehre und in der beruflichen Fortbildung.

  • Dozentin im Masterstudiengang „M.Ed. Research in Teaching and Learning” sowie „M.Sc. AI in Society” an der Technischen Universität München

    • Psychology of learning and instructional design of AI-based systems (4 SWS), (WS 2025/2026)
    • Selected Issues in Educational Research (4 SWS), (WS 2018/2019, WS 2019/2020, WS 2021/2022, WS 2022/2023, WS 2024/2025)
    • Planning and Implementation of Research Works in Classroom Research II (3 SWS), (SS 2020, SS 2021, SS 2022, SS 2023, SS 2024)
    • Active Reading Strategy (2 SWS), (WS 2023/2024)

    • Masterarbeit: “Exploring the Impact of Generative AI Chatbots on Essay Writing in a Digital Learning Environment” (2025)
    • Bachelorarbeit: “Investigating how students learn with adaptive scaffolds in an online learning environment” (2023)
    • Masterarbeit: “Adaptive Scaffolds to Support Students' Self-Regulated Learning in E-Learning Environments: a Systematic Review” (2022)
    • Masterarbeit: “Does Attention Relate to Performance? --The Eye Movement During Reading and Writing”; Internship Project: “Webcam-based eye tracking for field studies” (2022)
    • Praktikumsprojekt: “Eye gaze in Self-Regulated Learning” (2020)
    • Praktikumsprojekt: “Automatic and computer-assisted content analysis of essays” (2019/2020)
    • Praktikumsprojekt: “Using mouse movements and eye tracking to investigate interaction with rapid assessment tasks” (2019)

    • Selbstreguliertes Lernen und Metakognition
    • Adaptive Unterstützung mit fortschrittlichen Lerntechnologien
    • Multimodale und Online-Messungen von Lernprozessen
    • KI in der Bildung und technologiegestütztes Lernen

  • Nachwuchsgruppe ATLaS: Adaptive Teaching, Learning, and Support

  • Journal Publications (peer-reviewed)

    • Lim, L.&Bannert, M. (in press). How do students regulate their learning with a genAI chatbot? Submission to Learning Letters as part of the Special Issue on Self-Regulated Learning in the Age of Generative AI: Finding the Balance.
    • Alnashiri, H., Raković, M., Nawaz, S., Li., X., Lämsä, J., Lim, L., Bannert, M., Järvelä, S., and Gašević, D. (2025). Using Trace Data of Secondary Students to Understand Metacognitive Processes in Writing From Multiple Sources. Journal of Computer Assisted Learning, 41 (5), e70114 . DOI:10.1111/jcal.70114
    • de Mooij, S., Lämsä, J., Lim, L., Aksela, O., Athavale, S., Bistolfi, I., Jin, F., Li., T., Azevedo, A., Bannert, M., Gašević, D., Järvelä, S., & Molenaar, I. (2025) A Systematic Review of Self-Regulated Learning through Integration of Multimodal Data and Artificial Intelligence. Educ Psychol Rev, 37(54). DOI:10.1007/s10648-025-10028-0
    • Li, X., Fan, Y., Li, T., Raković, M., Singh, S., van der Graaf, J., 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, 12(1), 391–413. DOI:10.18608/jla.2025.8349
    • 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, 55(4), 1747-1771. 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, 55(4), 1309-1327. 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, 18, 783-810. 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
    • 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, 39(4), 1303-1324. 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, 17, 1025-1055. 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, 17, 754-771. 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, 17, 949-987. DOI: 10.1007/s11409-022-09291-1
    • 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

    Conference Proceedings (peer-reviewed and indexed)

    • 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
    • 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

    Additional Publications

    • 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.

    Organized Symposia and Workshops

    • Lim, L. & Hirt, C.N. (Organizers & Chairs). Potentials and Challenges on the Road to Rome: Promoting Self-Regulated Learning with Digital Tools. Symposium organized at the 21st Biennial Conference of the European Association for Research on Learning and Instruction (EARLI 2025), Graz, Austria., August 25-29, 2025. Presenters: Hirth, C.N.; Lim, L.; Wong, J.; Roberts, A.; Discussant: Rummel, N.
    • van der Graaf, J., & Lim, L. (Organizers & Chairs). Bridging Research and Practice: Fine-Grained Insights of students’ SRL in Tech-Enhanced Learning. Symposium organized at the 11th International Conference of EARLI SIG16 Metacognition and Self-Regulated Learning, Heidelberg, Germany, September 11-13, 2024. Presenters: Järvelä, S..; Bistolfi, I.; Lim, L.; Discussant: Wirth, J.
    • Lämsä, J., de Mooij, S., Lim, L.,Dever, D., Wiedbusch, M., Azevedo, R., Bannert, M., Gašević, D., Molenaar, I., & Järvelä, S. (2024, March). CELLA@LAK24 workshop: Supporting Students’ Self-Regulated Learning Through Human-AI Collaboration. Workshop at the 14th International Learning Analytics and Knowledge Conference, Kyoto, Japan, March 18-22, 2024.
    • Singh, S., Van der Graaf, J., Van der West, H., Fan, Y., Lim, L., Rakovic, M., Bannert, M., Molenaar, I., Gašević, D., & Moore, J. (2022, September). Improving the Instrumentation and Feedback for Self-Regulated Learning. Workshop at the 17th European Conference on Technology Enhanced Learning (EC-TEL22), Toulouse, France, September 12-16, 2022.

    Conference Proceedings (*peer-reviewed)

    2025

    • Bannert, M., & Lim, L. (2025, August). Promoting SRL through AI-based learning environments. In Azevedo, R. &Bannert, M. (Organizers & Chairs), Leveraging Human-AI Collaboration Research to Revolutionize Metacognition and Self-Regulation. Symposium presented at the 21st Biennial Conference of the European Association for Research on Learning and Instruction (EARLI 2025), Graz, Austria., August 25-29, 2025.
    • Lim, L. & Bannert, M. (2025, August). Towards Learner-Driven SRL Tools: How Students Regulate and Interact with a genAI Chatbot. In Hirt, C.N., & Lim, L. (Organizers & Chairs), Potentials and Challenges on the Road to Rome: Promoting Self-Regulated Learning with Digital Tools. Symposium presented at the 21st Biennial Conference of the European Association for Research on Learning and Instruction (EARLI 2025), Graz, Austria., August 25-29, 2025.
    • Lim, L., Saint, J., van der Graaf, J., Fan, Y., Singh, S., Rakovic, M., Molenaar, I, Gašević, D., & Bannert, M. (2025, August). Understanding Scaffold Interactions' Impact on Learning: A Fine-Grained Analytical Approach. Paper presented at the 21st Biennial Conference of the European Association for Research on Learning and Instruction (EARLI 2025), Graz, Austria, August 25-29, 2025.
    • Athavale, S., Lim, L., & Bannert, M. (2025, August). Training secondary school students’ SRL before learning with an AI-based online learning environment. In S. de Mooij & J. Lämsä (Chairs), Beyond learning traces: Advancing self-regulated learning with AI – From measurement to support. Symposium presented at the 21st Biennial Conference of the European Association for Research on Learning and Instruction (EARLI 2025), Graz, Austria, August 25-29, 2025.
    • de Mooij, S., Lämsä, J., Lim, L., Aksela, O.,Athavale, S., Bistolfi, I., Jin, F., Li, T., Azevedo, R., Bannert, M., Gašević, D., Järvelä, S., & Molenaar, I. (2025, August). A systematic review of SRL: Integrating multimodal data and artificial intelligence. In S. de Mooij & J. Lämsä (Chairs), Beyond learning traces: Advancing self-regulated learning with AI – From measurement to support. Symposium presented at the 21st Biennial Conference of the European Association for Research on Learning and Instruction (EARLI 2025), Graz, Austria, August 25-29, 2025.
    • 2024
    • Athavale, S., Lim, L., & Bannert, M. (2024, September). Training secondary school students’ SRL before learning with AI-based online learning environments. In Lämsä, J., & Raković, M. (Chairs), Promoting self-regulated learning of secondary school students using trace data and AI. Symposium presented at the 11th International Conference of EARLI SIG16 Metacognition and Self-Regulated Learning, Heidelberg, Germany, September 11-13, 2024.
    • Lim, L., Bannert, M., van der Graaf, J., Fan, Y., Li, X., Singh, S., Rakovic, M., Molenaar, I, & Gašević, D. (2024, September). Investigating Students’ Interactions with Adaptive SRL Scaffolds in an Online Learning Environment. In van der Graaf, J., & Lim, L. (Organizers & Chairs), Bridging Research and Practice: Fine-Grained Insights of students’ SRL in Tech-Enhanced Learning. Symposium presented at the 11th International Conference of EARLI SIG16 Metacognition and Self-Regulated Learning, Heidelberg, Germany, September 11-13, 2024.

    2023

    • Athavale, S., Lim, L., & Bannert, M. (2023, August). Analyzing Self-Regulated Learning of Secondary School Students. Poster presented at the 20th Biennial EARLI Conference for Research on Learning and Instruction, Thessaloniki, Greece, August 22-26, 2023.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • Fan, Y., Rakovic, M., Singh, S., Wiedbusch, M., Dever, D., Li., X., Van der Graaf, J., Lim, L., Molenaar, I., Bannert, M., Azevedo, R.,& Gašević, D. (2023, March). Measuring and Facilitating Self-Regulated Learning Based on Trace Data. Workshop at the 13th International Learning Analytics & Knowledge Conference (LAK23), Texas, USA, March 13-14, 2023.

    2022

    • Singh, S., Van der Graaf, J., Van der West, H., Fan, Y., Lim, L., Rakovic, M., Bannert, M., Molenaar, I., Gašević, D., & Moore, J. (2022, September). Improving the Instrumentation and Feedback for Self-Regulated Learning. Workshop at the 17th European Conference on Technology Enhanced Learning (EC-TEL22), Toulouse, France, September 12-16, 2022.
    • Lim, L., Bannert, M., van der Graaf, J., Singh, S., Fan, Y., Surendrannair, S., Rakovic, M., Molenaar, I, Moore, J., & Gašević, D. (2022, September). Effects of Personalized Scaffolds on Self-Regulated Learning based on Students’ Learning Processes. In D. Gašević & S. Järvelä (Chairs), Closing the loop: Supporting self-regulated learning with data analytics of multi-channel data. Symposium presented at the EARLI Special Interest Group 27, Southhampton, United Kingdom, August 30-September 1, 2022.
    • Fan, Y., Tsai, Y., Li, T., Singh, S., Rakovic, M., van der Graaf, J., Lim, L., Molenaar, I., Bannert, M., Moore, J., Gašević, D. (2022, September). When and Why Learners Benefit from Personalized 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.
    • 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.
    • Raković, M., Fan, Y., van der Graaf, J., Singh, S., Kilgour, J., Lim, L., Moore, J., Bannert, M., Molenaar, I., & Gašević, D. (2022, March). Using Learner Trace Data to Understand Metacognitive Processes In Writing From Multiple Sources. Presentation at the 12th International Learning Analytics & Knowledge Conference (LAK 22), March 21-25, 2022.
    • 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, March). Effects Of Internal and External Conditions On Strategies Of Self-Regulated Learning: A Learning Analytics Study. Presentation at the 12th International Learning Analytics & Knowledge Conference (LAK 22), March 21-25, 2022.

    2021

    • Fan, Y., Lim, L., van der Graaf, J., Kilgour, J., Moore, J., Gasevic, D., Bannert, M., & Molenaar, I. (2021, August). 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 presented at the 19th Biennial EARLI Conference for Research on Learning and Instruction, Gothenburg, Sweden, August 23-27, 2021.
    • Lim, L., Bannert, M., van der Graaf, J., Fan, Y., Kilgour, J., Molenaar, I, Moore, J., & Gasevic, D. (2021, August). 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 presented at the 19th Biennial EARLI Conference for Research on Learning and Instruction, Gothenburg, Sweden, August 23-27, 2021.
    • van der Graaf, J., Lim, L., Fan, Y., Kilgour, J., Moore, J., Gasevic, D., Bannert, M., & Molenaar, I. (2021, August). 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 presented at the 19th Biennial EARLI Conference for Research on Learning and Instruction, Gothenburg, Sweden, August 23-27, 2021.
    • Singh, S., Rakovic, M., Fan, Y., Lim, L., van der Graaf, J., Kilgour, J., Molenaar, I, Moore, J., Bannert, M., & Gasevic, D. (2021, August). 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 presented at the 19th Biennial EARLI Conference for Research on Learning and Instruction, Gothenburg, Sweden, August 23-27, 2021.
    • Bannert, M., Lim, L., van der Graaf, J., Fan, Y., Kilgour, J., Molenaar, I, Moore, J., & Gasevic, D. (2021, August). Multimodal Data Analysis Of Student’s Own Regulation Activities to Advance Personalized Scaffolds. In S. Järvelä & I. Molenaar (Organizers and Chairs), Leveraging SRL Research Into Intelligent Learning Technologies. Symposium presented at the 19th Biennial EARLI Conference for Research on Learning and Instruction, Gothenburg, Sweden, August 23-27, 2021.
    • 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.
    • 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.
    • van der Graaf, J., Molenaar, I., Lim, L., Bannert, M., Fan, Y., Kilgour, J., Moore, J., & Gasevic, D. (2021, April). Do Instrumentation Tools Capture Self-Regulated Learning. Full paper presented at the 11th International Learning Analytics & Knowledge Conference (LAK 21), April 12-16, 2021.
    • Singh, S., Raković, M., Fan, Y., van der Graaf, J., Lim, L., Kilgour, J., Bannert, M., Molenaar, I., Moore, J., & Gašević, D. (2021, April). Using Enhanced Learner-Facing Visual Interfaces to Support Self-Regulated Learning. Poster presented at the 11th International Learning Analytics & Knowledge Conference (LAK 21), April 12-16, 2021.

    2020

    • 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.
    • 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.
    • 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 presented at the 10th International Learning Analytics & Knowledge Conference (LAK20), Frankfurt, Germany, March 23-27, 2020.
    • Fan, Y., Lim, L., Van der Graaf, J., Engelmann, K., Molenaar, I., Moore, J. Bannert, M.& Gašević, D., (2020, March). Measuring Micro-Level Self-Regulated Learning Processes With Enhanced Log Data and Eye Tracking Data. Workshop at the 10th International Learning Analytics & Knowledge Conference (LAK 20), Frankfurt, Germany, March 23-27, 2020
    • 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 (LAK 20), Frankfurt, Germany, March 23-27, 2020.

    2019

    • *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.

    Invited Talks, Workshops, and Interviews

    • Lim, L. (2025, November). A multimodal approach to investigating human-AI partnerships. Invited presentation at the Researcher in Spotlight series organized by the Learning and Educational Technology Research Lab, University of Oulu, Finland.
    • Lim, L. (2025, July). ExpertInnen-Insights [Expert interview]. In Selbstreguliertes Lernen (digital) [Online self-learning course for teachers]. Clearing House Unterricht Academy. https://clearinghouse-academy.de/course/view.php?id=22
    • Lim, L. (2024, September). Measuring and understanding learning processes using the Think Aloud approach. Invited workshop at the 19th WiPSCE Conference on Primary and Secondary Computing Education Research, Munich, Germany, September 16-18, 2024.
    • Lim, L. (2024, June). Supporting Self-Regulated Learning with Advanced Digital Technologies: Harnessing AI for Learning. Invited presentation at the TUM-Singapore Research Exchange with the Ministry of Education (Singapore) and National Institute of Education (Singapore), June 5, 2024.
    • Bannert, M., Lim, L., & Hartmann, C.(2024, April). Selbstreguliertes Lernen mit Digitalen Medien. Bedeutung temporaler und multimodaler Prozessanalysen. Eingeladener Vortrag auf der 9. Landeskonferenz “Psychologie im Lehramtsstudium in Bayern”. TUM School of Social Sciences and Technology, Educational Sciences, 25.-26.04.2024
    • Lim, L. (2023, May). Scaffolding Self-Regulated Learning with Advanced Learning Technologies. Presentation at the Research Exchange with the Ministry of Education

 
CATALPA | 19.02.2026