Learning Analytics in Technology-Enhanced Learning Environments: Automated Detection of Metacognitive Processes

About this masterclass

This talk explores how Educational Data Analytics (EDA) can enhance learning experiences in Technology-Enhanced Learning Environments (TELE). By collecting and analyzing log data, we can gain insights into essential learning processes such as planning, monitoring, reflection, and the use of strategies, which are central to metacognition. The discussion will also extend to AR/VR-based learning environments, where rich interaction data can be captured to study learner behavior and engagement in immersive settings. Such analysis enables identifying at-risk learners, developing learner profiles, and providing personalized adaptive feedback. By leveraging these insights, we can create more effective and supportive learning experiences, ensuring that students receive timely interventions tailored to their needs.

What you'll take away

• Leveraging Educational Data Analytics to Identify Key Learning Processes: This talk will demonstrate how educational data analytics can be used to automatically detect metacognitive processes in Technology-Enhanced Learning Environments (TELE).
• Enhancing Learner Experiences Through Data: It will showcase how analyzed data can be practically applied to improve learning experiences, such as developing learner profiles and providing personalized and adaptive feedback.

Details

About the instructor

Dr. Rumana Pathan

• Indian Institute of Technology Bombay

Dr. Rumana Pathan is an educational data analytics researcher specializing in learner interaction analysis across diverse digital platforms. Her expertise spans the analysis of educational data from web-based learning environments, mobile applications, and immersive technologies including augmented reality (AR) and virtual reality (VR).

educational data analyticslearner interaction analysisweb-based learningmobile applicationsaugmented realityvirtual reality

LinkedIn