Esteban Villalobos

According to our database, Esteban Villalobos authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring Manifestations of Learners' Self-Regulated Tactics and Strategies Across Blended Learning Courses.

Esteban Villalobos, Mar Pérez-Sanagustín, Roger Azevedo, Cédric Sanza, Julien Broisin

IEEE Trans. Learn. Technol., 2024

The Mediating Role of Learning Analytics: Insights into Student Approaches to Learning and Academic Achievement in Latin America.

Esteban Villalobos, Isabel Hilliger, Carlos Gonzalez, Sergio Celis, Mar Pérez-Sanagustín, Julien Broisin

J. Learn. Anal., 2024

2023

Analyzing Learners' Perception of Indicators in Student-Facing Analytics: A Card Sorting Approach.

Esteban Villalobos, Isabel Hilliger, Mar Pérez-Sanagustín, Carlos González, Sergio Celis, Julien Broisin

Proceedings of the Responsive and Sustainable Educational Futures, 2023

2022

Fair Face Verification by Using Non-Sensitive Soft-Biometric Attributes.

Esteban Villalobos, Domingo Mery, Kevin W. Bowyer

IEEE Access, 2022

Measuring and supporting self-regulated learning in blended learning contexts.

Esteban Villalobos, Mar Pérez-Sanagustín, André Tricot, Julien Broisin

Proceedings of the Doctoral Consortium of the 17th European Conference on Technology Enhanced Learning co-located with the 17th European Conference on Technology Enhanced Learning (EC-TEL 2022), 2022

Supporting Self-regulated Learning in BL: Exploring Learners' Tactics and Strategies.

Esteban Villalobos, Mar Pérez-Sanagustín, Cédric Sanza, André Tricot, Julien Broisin

Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

Designing a Moodle Plugin for Promoting Learners' Self-regulated Learning in Blended Learning.

Mar Pérez-Sanagustín, Ronald Pérez-Álvarez, Jorge Maldonado-Mahauad, Esteban Villalobos, Cédric Sanza

Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

2021

Can Feedback based on Predictive Data Improve Learners' Passing Rates in MOOCs? A Preliminary Analysis.

Mar Pérez-Sanagustín, Ronald Pérez-Álvarez, Jorge Maldonado-Mahauad, Esteban Villalobos, Isabel Hilliger, Josefina Hernández, Diego Sapunar, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Carlos Delgado Kloos, Jon Imaz Marín

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

2020

Identity Document to Selfie Face Matching Across Adolescence.

Vítor Albiero, Nisha Srinivas, Esteban Villalobos, Jorge Perez-Facuse, Roberto Rosenthal, Domingo Mery, Karl Ricanek, Kevin W. Bowyer

Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

2019

Face recognition in low-quality images using adaptive sparse representations.

Daniel Heinsohn, Esteban Villalobos, Loreto Prieto, Domingo Mery

Image Vis. Comput., 2019

Student Attendance System in Crowded Classrooms Using a Smartphone Camera.

Domingo Mery, Ignacio Mackenney, Esteban Villalobos

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019