Supporting Data-Driven Decision Making by Learners and Teachers

Abstract

My research focuses on interdisciplinary data driven approach to support students and teachers. For students, I aim to design technology interventions to develop their self-directedness skill (SDS). For teachers, I investigate how learning dashboards can facilitate adopting actionable learning analytics in teaching practices. This two-pronged research agenda uses a proposed core process model, we call DAPER model. In DAPER model, users utilize data to plan, monitor and reflect on one’s practices. We are developing LET’s GOAL system based on the DAPER model to support the students. The model also fits in Learning Evidence Analytics Framework (LEAF), our proposed technology framework for evidence-based education system.