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

35 citations · 35 across the 1 of their papers we have counts for

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1 paper

cs.CY2024★ 35 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…