Rebeca Cerezo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Topics

University Students

Massive Open Online Courses

Intelligent Tutoring Systems

Top Venues

WIREs Data Mining Knowl. Discov.

J. Comput. High. Educ.

Publications

Wilson Chango, Rebeca Cerezo, Miguel Sánchez-Santillán, Roger Azevedo, C. Romero
Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources. CoRR (2024)
Rebeca Cerezo, Alejandro Bogarín, M. Esteban, C. Romero
Process mining for self-regulated learning assessment in e-learning. CoRR (2024)
Wilson Chango, Rebeca Cerezo, C. Romero
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses. CoRR (2024)
Rebeca Cerezo, Juan Alfonso Lara, Roger Azevedo, Cristóbal Romero
Reviewing the differences between learning analytics and educational data mining: Towards educational data science. Comput. Hum. Behav. 154 (2024)
Wilson Chango, Juan Alfonso Lara, Rebeca Cerezo, Cristóbal Romero
A review on data fusion in multimodal learning analytics and educational data mining. WIREs Data Mining Knowl. Discov. 12 (4) (2022)
Cristóbal Romero, Wilson Chango, Rebeca Cerezo
Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students. EDM (2022)
Wilson Chango, Rebeca Cerezo, Miguel Sánchez-Santillán, Roger Azevedo, Cristóbal Romero
Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources. J. Comput. High. Educ. 33 (3) (2021)
Wilson Chango, Rebeca Cerezo, Cristóbal Romero
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses. Comput. Electr. Eng. 89 (2021)
Wilson Chango, Miguel Sánchez-Santillán, Rebeca Cerezo, Cristóbal Romero
Predicting students' performance using emotion detection from face-recording video when interacting with an ITS. EDM (2020)
Rebeca Cerezo, Alejandro Bogarín, María Esteban, Cristóbal Romero
Process mining for self-regulated learning assessment in e-learning. J. Comput. High. Educ. 32 (1) (2020)
Wilson Chango, Rebeca Cerezo, Cristóbal Romero
Predicting academic performance of university students from multi-sources data in blended learning. DATA (2019)
Rebeca Cerezo, Vicente Calderón, Cristóbal Romero
A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children. Int. J. Hum. Comput. Stud. 124 (2019)
Carlos García-Martínez, Rebeca Cerezo, Manuel Bermúdez, Cristóbal Romero
Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance. J. Comput. Assist. Learn. 35 (1) (2019)
Alejandro Bogarín, Rebeca Cerezo, Cristóbal Romero
A survey on educational process mining. WIREs Data Mining Knowl. Discov. 8 (1) (2018)
Miguel Sánchez-Santillán, M. Puerto Paule-Ruíz, Rebeca Cerezo, José Carlos Núñez
Predicting Students' Performance: Incremental Interaction Classifiers. L@S (2016)
Rebeca Cerezo, Miguel Sánchez-Santillán, María del Puerto Paule Ruíz, José Carlos Núñez
Students' LMS interaction patterns and their relationship with achievement: A case study in higher education. Comput. Educ. 96 (2016)
Cristóbal Romero, Rebeca Cerezo, Jose Antonio Espino, Manuel Bermúdez
Using Android Wear for Avoiding Procrastination Behaviours in MOOCs. L@S (2016)
Rebeca Cerezo, Miguel Sánchez-Santillán, José C. Nuñez, M. Puerto Paule-Ruíz
Different Patterns of Students' Interaction with Mooodle and Their Relationship with Achievement. EDM (2015)
Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo
Discovering Students' Navigation Paths in Moodle. EDM (2015)
Rebeca Cerezo, Natalia Suarez, José Carlos Núñez, Miguel Sánchez-Santillán
eGraph tool: graphing the learning process in LMSs. LAK (2014)
Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo, Miguel Sánchez-Santillán
Clustering for improving educational process mining. LAK (2014)