Rebeca Cerezo

R. Azevedo

C. Romero

CoRR, 2024

Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses.

[BibT_eX]

[DOI]

C. Romero

CoRR, 2024

2022

A review on data fusion in multimodal learning analytics and educational data mining.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2022

Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources.

[BibT_eX]

[DOI]

Roger Azevedo

J. Comput. High. Educ., 2021

Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2021

2020

Process mining for self-regulated learning assessment in e-learning.

[BibT_eX]

[DOI]

J. Comput. High. Educ., 2020

Predicting students' performance using emotion detection from face-recording video when interacting with an ITS.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019

Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance.

[BibT_eX]

[DOI]

Carlos García-Martínez

Manuel Bermúdez

J. Comput. Assist. Learn., 2019

A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children.

[BibT_eX]

[DOI]

Vicente Calderón

Int. J. Hum. Comput. Stud., 2019

Predicting academic performance of university students from multi-sources data in blended learning.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Data Science, 2019

2018

A survey on educational process mining.

[BibT_eX]

[DOI]

Alejandro Bogarín

WIREs Data Mining Knowl. Discov., 2018

2016

Students' LMS interaction patterns and their relationship with achievement: A case study in higher education.

[BibT_eX]

[DOI]

María del Puerto Paule Ruíz

José Carlos Núñez

Comput. Educ., 2016

Predicting Students' Performance: Incremental Interaction Classifiers.

[BibT_eX]

[DOI]

M. Puerto Paule-Ruíz

José Carlos Núñez

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Using Android Wear for Avoiding Procrastination Behaviours in MOOCs.

[BibT_eX]

[DOI]

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

2015

Different Patterns of Students' Interaction with Mooodle and Their Relationship with Achievement.

[BibT_eX]

[DOI]

José C. Nuñez

M. Puerto Paule-Ruíz

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Discovering Students' Navigation Paths in Moodle.

[BibT_eX]

[DOI]

Alejandro Bogarín

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014

eGraph tool: graphing the learning process in LMSs.

[BibT_eX]

[DOI]

Natalia Suarez

José Carlos Núñez

Proceedings of the Learning Analytics and Knowledge Conference 2014, 2014

Clustering for improving educational process mining.

[BibT_eX]

[DOI]

Alejandro Bogarín