Rebeca Cerezo

28 papers A 2B 7C 1Journal 16
YearRankTypeTitle / Venue / Authors
2026 — ed.
Proceedings of the Learning Analytics Summer Institute Spain, LASI Spain 2025, Vitoria-Gasteiz, Spain, May 26-27, 2025.
LASI Spain
Ainhoa Alvarez, Rebeca Cerezo, Mikel Larrañaga
2026 J jnl
Towards accessible AI for addressing students' academic dropout: an auto machine learning and explainable artificial intelligence approach.
Univers. Access Inf. Soc.
Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero
2025 J jnl
A review on data fusion in multimodal learning analytics and educational data mining.
CoRR
Wilson Chango, Juan Alfonso Lara, Rebeca Cerezo, Cristóbal Romero
2024 J jnl
A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children.
CoRR
Rebeca Cerezo, Vicente Calderón, Cristóbal Romero
2024 B conf
Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence.
EDM
Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero
2024 J jnl
Improving essay peer grading accuracy in MOOCs using personalized weights from student's engagement and performance.
CoRR
Carlos García-Martínez, Rebeca Cerezo, Manuel Bermúdez, Cristóbal Romero
2024 J jnl
Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources.
CoRR
Wilson Chango, Rebeca Cerezo, Miguel Sánchez-Santillán, Roger Azevedo, Cristóbal Romero
2024 J jnl
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses.
CoRR
Wilson Chango, Rebeca Cerezo, Cristóbal Romero
2024 — ed.
Proceedings of the Doctoral Consortium of the Learning Analytics Summer Institute Europe 2024 (LASI Europe 2024 DC), Jerez de la Frontera, Spain, May 29-31, 2024.
LASI Europe
Yannis A. Dimitriadis, Rebeca Cerezo, Antonio Balderas, Alejandra Martínez-Monés, Daniel Spikol
2024 J jnl
Process mining for self-regulated learning assessment in e-learning.
CoRR
Rebeca Cerezo, Alejandro Bogarín, María Esteban, Cristóbal Romero
2024 J jnl
Reviewing the differences between learning analytics and educational data mining: Towards educational data science.
Comput. Hum. Behav.
Rebeca Cerezo, Juan Alfonso Lara, Roger Azevedo, Cristóbal Romero
2022 J jnl
A review on data fusion in multimodal learning analytics and educational data mining.
WIREs Data Mining Knowl. Discov.
Wilson Chango, Juan Alfonso Lara, Rebeca Cerezo, Cristóbal Romero
2022 B conf
Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students.
EDM
Cristóbal Romero, Wilson Chango, Rebeca Cerezo
2021 J jnl
Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources.
J. Comput. High. Educ.
Wilson Chango, Rebeca Cerezo, Miguel Sánchez-Santillán, Roger Azevedo, Cristóbal Romero
2021 J jnl
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses.
Comput. Electr. Eng.
Wilson Chango, Rebeca Cerezo, Cristóbal Romero
2020 B conf
Predicting students' performance using emotion detection from face-recording video when interacting with an ITS.
EDM
Wilson Chango, Miguel Sánchez-Santillán, Rebeca Cerezo, Cristóbal Romero
2020 J jnl
Process mining for self-regulated learning assessment in e-learning.
J. Comput. High. Educ.
Rebeca Cerezo, Alejandro Bogarín, María Esteban, Cristóbal Romero
2019 J jnl
A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children.
Int. J. Hum. Comput. Stud.
Rebeca Cerezo, Vicente Calderón, Cristóbal Romero
2019 J jnl
Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance.
J. Comput. Assist. Learn.
Carlos García-Martínez, Rebeca Cerezo, Manuel Bermúdez, Cristóbal Romero
2019 C conf
Predicting academic performance of university students from multi-sources data in blended learning.
DATA
Wilson Chango, Rebeca Cerezo, Cristóbal Romero
2018 J jnl
A survey on educational process mining.
WIREs Data Mining Knowl. Discov.
Alejandro Bogarín, Rebeca Cerezo, Cristóbal Romero
2016 B conf
Predicting Students' Performance: Incremental Interaction Classifiers.
L@S
Miguel Sánchez-Santillán, M. Puerto Paule-Ruíz, Rebeca Cerezo, José Carlos Núñez
2016 J jnl
Students' LMS interaction patterns and their relationship with achievement: A case study in higher education.
Comput. Educ.
Rebeca Cerezo, Miguel Sánchez-Santillán, María del Puerto Paule Ruíz, José Carlos Núñez
2016 B conf
Using Android Wear for Avoiding Procrastination Behaviours in MOOCs.
L@S
Cristóbal Romero, Rebeca Cerezo, Jose Antonio Espino, Manuel Bermúdez
2015 B conf
Different Patterns of Students' Interaction with Mooodle and Their Relationship with Achievement.
EDM
Rebeca Cerezo, Miguel Sánchez-Santillán, José C. Nuñez, M. Puerto Paule-Ruíz
2015 B conf
Discovering Students' Navigation Paths in Moodle.
EDM
Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo
2014 A conf
Clustering for improving educational process mining.
LAK
Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo, Miguel Sánchez-Santillán
2014 A conf
eGraph tool: graphing the learning process in LMSs.
LAK
Rebeca Cerezo, Natalia Suarez, José Carlos Núñez, Miguel Sánchez-Santillán