160 citations · 375 across the 5 of their papers we have counts for
4 papers · 1 filter
Improving essay peer grading accuracy in MOOCs using personalized weights from student's engagement and performance
Carlos García-Martínez, Rebeca Cerezo, Manuel Bermúdez +1
Most MOOC platforms either use simple schemes for aggregating peer grades, e.g., taking the mean or the median, or apply methodologies that increase students' workload considerably…
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…
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…
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses
W. Chango, R. Cerezo, C. Romero
In this paper we applied data fusion approaches for predicting the final academic performance of university students using multiple-source, multimodal data from blended learning en…