Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources
Publication date:
2021
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Citación:
Journal of Computing in Higher Education, 33(3), p. 614-634 (2021); doi:10.1007/s12528-021-09298-8
Descripción física:
p. 614-634
ISSN:
Local Notes:
OA ATUO21
Patrocinado por:
The authors acknowledge the financial subsidy provided by the Spanish Ministry of Science and Innovation “Deteccion Temprana e Intervencion en Dificultades del Aprendizaje Específicas desde el Modelo RtI” (PID2019-107201GB-I009), and the Spanish Ministry of Science and Innovation in the project “Improving Data Science User’s Experience with Computational Intelligence (INTENSE)” (PID2020-115832GB-I00).
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