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2020 – today
- 2024
[j9]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: 108155 (2024)- [c10]Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero:
Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence. EDM 2024 - [e1]Yannis A. Dimitriadis, Rebeca Cerezo, Antonio Balderas, Alejandra Martínez-Monés, Daniel Spikol:
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. CEUR Workshop Proceedings 3738, CEUR-WS.org 2024 [contents] - [i4]Wilson Chango, Rebeca Cerezo, C. Romero:
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses. CoRR abs/2403.05552 (2024) - [i3]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 abs/2403.07194 (2024) - [i2]Rebeca Cerezo, Alejandro Bogarín, María Esteban, Cristóbal Romero:
Process mining for self-regulated learning assessment in e-learning. CoRR abs/2403.12068 (2024) - [i1]Carlos García-Martínez, Rebeca Cerezo, Manuel Bermúdez, Cristóbal Romero:
Improving essay peer grading accuracy in MOOCs using personalized weights from student's engagement and performance. CoRR abs/2412.13348 (2024) - 2022
- [j8]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) - [c9]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 - 2021
- [j7]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: 106908 (2021) - [j6]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): 614-634 (2021) - 2020
- [j5]Rebeca Cerezo, Alejandro Bogarín, María Esteban, Cristóbal Romero:
Process mining for self-regulated learning assessment in e-learning. J. Comput. High. Educ. 32(1): 74-88 (2020) - [c8]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
2010 – 2019
- 2019
- [j4]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: 13-25 (2019) - [j3]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): 110-120 (2019) - [c7]Wilson Chango, Rebeca Cerezo, Cristóbal Romero:
Predicting academic performance of university students from multi-sources data in blended learning. DATA 2019: 3:1-3:5 - 2018
- [j2]Alejandro Bogarín, Rebeca Cerezo, Cristóbal Romero:
A survey on educational process mining. WIREs Data Mining Knowl. Discov. 8(1) (2018) - 2016
- [j1]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: 42-54 (2016) - [c6]Cristóbal Romero, Rebeca Cerezo, Jose Antonio Espino, Manuel Bermúdez:
Using Android Wear for Avoiding Procrastination Behaviours in MOOCs. L@S 2016: 193-196 - [c5]Miguel Sánchez-Santillán, M. Puerto Paule-Ruíz, Rebeca Cerezo, José Carlos Núñez:
Predicting Students' Performance: Incremental Interaction Classifiers. L@S 2016: 217-220 - 2015
- [c4]Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo:
Discovering Students' Navigation Paths in Moodle. EDM 2015: 556-557 - [c3]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: 576-577 - 2014
- [c2]Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo, Miguel Sánchez-Santillán:
Clustering for improving educational process mining. LAK 2014: 11-15 - [c1]Rebeca Cerezo, Natalia Suarez, José Carlos Núñez, Miguel Sánchez-Santillán:
eGraph tool: graphing the learning process in LMSs. LAK 2014: 273-274
Coauthor Index
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