Lyn Lim

Dr. Lyn Lim is a Postdoctoral Researcher and Scientific Associate at the Chair of Teaching and Learning with Digital Media, TUM School of Social Sciences and Technology, Technical University of Munich (TUM). She has been affiliated with TUM since 2018, initially as a Research Associate and currently as a Postdoctoral Researcher. Her role includes teaching as a Lecturer in the master’s program "Research in Teaching and Learning" where she conducts seminars on educational research methodologies and active reading strategies.

Education:

• Ph.D. in Social Sciences and Technology, Technical University of Munich, Germany (2018-2023)
• M.Ed. in Research in Teaching and Learning, Technical University of Munich, Germany (2015-2018)
• Advanced Certificate in Training and Assessment, Human Resource Development Agency, Singapore (2015)
• Specialization in Autism, Autism Resource Centre, Singapore (2012)
• B.A. in Psychology, University at Buffalo, State University of New York, USA (2007-2010)

Research Focus:
Her interdisciplinary work bridges psychology, education, and technology, with emphasis on:

• Developing AI-driven scaffolds for self-regulated learning (SRL)
• Analyzing learning processes through multimodal data (eye-tracking, trace data)
• Designing adaptive educational technologies
• Investigating metacognitive processes in digital learning environments
• Applying learning analytics to improve instructional design

Publication Trends:
Her recent research (2023-2024) demonstrates strong emphasis on personalized scaffolding using AI, multimodal learning analytics, and process mining. Key themes include reinforcement learning for SRL strategies, human-AI collaboration frameworks, and validation of trace data methodologies. She frequently employs advanced computational techniques like network analysis and linguistic feature extraction to study learning behaviors.

Student Advising:
Has supervised multiple theses and research internships focusing on:

• Adaptive scaffolds in online learning environments
• Eye-tracking applications in self-regulated learning
• Learning behavior analysis through multimodal data

Academic Networks:
Active member of the Chair for Teaching and Learning with Digital Media research team. Collaborates internationally on projects involving learning analytics and AI in education. Serves as reviewer for leading journals including Metacognition and Learning and Computers in Human Behavior. Member of EARLI (European Association for Research on Learning and Instruction) and SoLAR (Society for Learning Analytics Research).