LASER - LEARNING ANALYTICS SOLUTIONS FOR STUDYING AND SUPPORTING SRL IN BLENDED LEARNING

LASER (LEARNING ANALYTICS SOLUTION FOR SRL IN BL ENVIRONMENTS) AIMS TO STUDY LEARNING ANALYTICS (LA) TECHNOLOGICAL SOLUTIONS AND TECHNIQUES TO BETTER UNDERSTAND AND SUPPORT STUDENTS' SELF-REGULATED LEARNING (SRL) STRATEGIES, AND THEIR RELATION WITH PERFORMANCE IN BLENDED LEARNING SCENARIOS. LASER WILL FOLLOW A DESIGN-BASED RESEARCH METHODOLOGY, COMBINING DATA AND PROCESS MINING TECHNIQUES WITH THEORETICAL BACKGROUND ON EDUCATIONAL RESEARCH 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 THEORY-GROUNDED ADVANCED ANALYTICAL TECHNIQUES THAT WILL ADVANCE THE LA AND LEARNING SCIENCES INTERNATIONAL RESEARCH DOMAINS. LASER WILL ALSO CONTRIBUTE TO THE OPERATIONALIZATION OF THE NATIONAL HIGHER EDUCATION STRATEGY BY PROVIDING CASE STUDIES ON HOW TO DEPLOY HYBRID MODES TO SUPPORT EDUCATION AT A LARGE SCALE AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN EDUCATION.

FUERA DE CONVOCATORIA FONDOS EXTERNOS