Abstract - Hiroaki Ogata
Learning Analytics and Evidence-Based Education
The multi-disciplinary research approach of Learning Analytics (LA) has provided methods to understand learning and teaching process by analyzing logs collected during diverse teaching-learning activities and potentially enrich such experiences. This talk will present the Learning Evidence Analytics Framework (LEAF) and draw a research road-map of an educational big data-informed evidence-based education system. It focuses on the approach of developing novel techniques by applying the knowledge base of LA that can help to extract evidence of effective teaching-learning practices. Finally, it shows that teachers can refine their instructional practices, learners can enhance learning experiences, and researchers can study on the dynamics of the teaching-learning cases with LEAF.