Personalized learning using automated topic alignment and doubt detection

Synopsis:

Do my students understand? How do I know if my students get the key learning points?

In this work, we collected informal reflections from learners. Using the reflections, we trained machine learning models to automatically identify reflections with doubt content and find similarity scores to learning objectives. These models extract useful insights for instructors to derive actionable plans for timely adjustments and feedback to students. Our pilot deployment of a system showed that our approach delivers promising potential for learner-centered teaching and personalized learning

Assoc. Prof. KAR WAY TAN

Associate Professor of Information Systems (Practice)
Singapore Management University

Bio:
Kar Way is a passionate technologist with extensive experiences in teaching and practice-based research. She serves as the Associate Professor (Practice) and Director of the Master of IT in Business (Analytics) at School of Information Systems, Singapore Management University. For research, she draws inspirations from real-world challenges to innovate digital solutions in healthcare, smart living and learning analytics. Her teaching experiences include topics in data analytics, process management and enterprise systems. Kar Way is an award-winning innovative teacher who is fun and engaging.