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A review on data fusion in multimodal learning analytics and educational data mining
(Wiley, 2022)
The new educational models such as smart learning environments use of digital and context-aware devices to facilitate the learning process. In this new educational scenario, a huge quantity of multimodal students' data ...
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses
(Elsevier, 2021)
In this paper we apply data fusion approaches for predicting the final academic performance of university students using multiple-source, multimodal data from blended learning environments. We collect and preprocess data ...
A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children
(Elsevier, 2019)
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 of vocabulary is a fundamental step when ...
Process mining for self-regulated learning assessment in e-learning
(Springer, 2020)
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 challenges for assessment of not only ...
Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources
(Springer, 2021)
The aim of this study was to predict university students’ learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 ...