Learning Analytics Solutions for Studying and Supporting Self-Regulated Learning strategies in Blended Learning – LASER

LASER (Learning Analytics Solution for Srl in BL EnviRonments) investigates Learning Analytics (LA) technologies and techniques combined with qualitative methods to better understand and support students’ self-regulated learning (SRL) strategies, and their relationship with performance in Blended Learning (BL) scenarios. LASER will follow a designed-based research approach, combining data and process mining techniques with theoretical models from the educational sciences in BL through testbeds and experiments. This project contributes with novel empirical data on the strategies developed by students in BL scenarios, as well as new theoretically grounded analytical techniques that will advance the LA and Educational Sciences international research domains. LASER will also contribute in the operationalization of the national Higher Education strategy for facing the COVID-19 pandemic and the transformations of the DUTs by providing case studies on how to deploy models of education at a large scale.