most citedEducational data mining and learning analytics: An updated survey

1.1k citations · 1.7k across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2024100 cited

Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization

A. Esteban, A. Zafra, C. Romero

The wide availability of specific courses together with the flexibility of academic plans in university studies reveal the importance of Recommendation Systems (RSs) in this area.…

cs.HC202478 cited

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

R. Cerezo, V. Calderon, C. Romero

This paper describes a holographic mobile-based application designed to help Spanish-speaking children to practice the pronunciation of basic English vocabulary words. The mastery…

cs.CY2024160 cited

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

R. Cerezo, A. Bogarin, M. Esteban +1

Content assessment has broadly improved in e-learning scenarios in recent decades. However, the eLearning process can give rise to a spatial and temporal gap that poses interesting…

cs.IR2024156 cited

Text mining in education

R. Ferreira-Mello, M. Andre, A. Pinheiro +2

The explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, amo…

cs.CY202435 cited

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

W. Chango, R. Cerezo, M. Sanchez-Santillan +2

The aim of this study was to predict university students' learning performance using different sources of data from an Intelligent Tutoring System. We collected and preprocessed da…

cs.CY20241 cited

Modeling and predicting students' engagement behaviors using mixture Markov models

R. Maqsood, P. Ceravolo, C. Romero +1

Students' engagements reflect their level of involvement in an ongoing learning process which can be estimated through their interactions with a computer-based learning or assessme…