M
Mar Pérez-Sanagustín
Researcher at Pontifical Catholic University of Chile
Publications - 126
Citations - 3070
Mar Pérez-Sanagustín is an academic researcher from Pontifical Catholic University of Chile. The author has contributed to research in topics: Learning analytics & Blended learning. The author has an hindex of 24, co-authored 112 publications receiving 2233 citations. Previous affiliations of Mar Pérez-Sanagustín include Pompeu Fabra University & Complutense University of Madrid.
Papers
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Journal ArticleDOI
Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses
TL;DR: It was found that goal setting and strategic planning predicted attainment of personal course goals, while help seeking was associated with lower goal attainment, and several learner characteristics, including demographics and motivation, predicted learners' SRL skills.
Journal ArticleDOI
Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses
Jorge Maldonado-Mahauad,Jorge Maldonado-Mahauad,Mar Pérez-Sanagustín,René F. Kizilcec,Nicolás Morales,Jorge Munoz-Gama +5 more
TL;DR: Challenges that arise in the process of extracting theory-based patterns from observed behaviour are discussed, including analytic issues and limitations of available trace data from learning platforms.
Book ChapterDOI
Analysing the Impact of Built-In and External Social Tools in a MOOC on Educational Technologies
Carlos Alario-Hoyos,Mar Pérez-Sanagustín,Carlos Delgado-Kloos,A G Hugo Parada,Mario Munoz-Organero,Antonio Rodríguez-De-Las-Heras +5 more
TL;DR: This paper analyses the impact of two built-in Q&A and forum and three external social tools Facebook, Twitter and MentorMob in a MOOC on educational technologies and the lessons learned are summarized so that others may benefit.
Journal ArticleDOI
Precise Effectiveness Strategy for analyzing the effectiveness of students with educational resources and activities in MOOCs
Pedro J. Muñoz-Merino,José A. Ruipérez-Valiente,Carlos Alario-Hoyos,Mar Pérez-Sanagustín,Carlos Delgado Kloos +4 more
TL;DR: Results from using PES in the case study revealed that the effectiveness metrics proposed had a moderate negative correlation with some behavioral patterns like recommendation listener or video avoider, so the metrics can help teachers know the relationship of effectiveness with different behavioral patterns.
Proceedings ArticleDOI
Recommending Self-Regulated Learning Strategies Does Not Improve Performance in a MOOC
TL;DR: Investigating self-regulated learning (SRL) in MOOCs and tests if encouraging the use of SRL strategies can improve course performance suggest that a single SRL prompt at the beginning of the course provides insufficient support.