CE38 - Révolution numérique : rapports au savoir et à la culture

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

Submission summary

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.

Project coordination

Mar Pérez-Sanagustín (Institut de Recherche en Informatique de Toulouse)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.


EPSYLON Université Paul Valéry Montpelilier 3
IRIT Institut de Recherche en Informatique de Toulouse

Help of the ANR 253,875 euros
Beginning and duration of the scientific project: March 2021 - 48 Months

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