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Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources
| dc.contributor.author | Chango, W. | |
| dc.contributor.author | Cerezo Menéndez, Rebeca | |
| dc.contributor.author | Sánchez Santillán, Miguel | |
| dc.contributor.author | Azevedo, R. | |
| dc.contributor.author | Romero, C. | |
| dc.date.accessioned | 2022-03-11T07:29:52Z | |
| dc.date.available | 2022-03-11T07:29:52Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | Journal of Computing in Higher Education, 33(3), p. 614-634 (2021); doi:10.1007/s12528-021-09298-8 | |
| dc.identifier.issn | 1042-1726 | |
| dc.identifier.uri | http://hdl.handle.net/10651/62219 | |
| dc.description.sponsorship | 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). | |
| dc.format.extent | p. 614-634 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of computing in higher education | |
| dc.rights | © The Author(s) 2021 | |
| dc.rights | CC Reconocimiento 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118119545&doi=10.1007%2fs12528-021-09298-8&partnerID=40&md5=ad99946aaf03093817fc5ef9bc74b72b | |
| dc.title | Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1007/s12528-021-09298-8 | |
| dc.local.notes | OA ATUO21 | |
| dc.relation.projectID | MICINN/PID2019-107201GB-I009 | |
| dc.relation.projectID | MICINN/PID2020-115832GB-I00 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1007/s12528-021-09298-8 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | VoR |
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