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

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.