Detalhes bibliográficos
| Resumo: | This report summarizes the findings of the project SPEET. It relies on the initial document generated as Intellectual Output #1 and the results obtained by application of the IT tools developed in Intellectual Output #2, and Intellectual Output #3 to the academic data provided by the partner institutions. The main objectives of applying analytic techniques to evaluate the academic data sources can be categorized as follows: Improve Student Results; Create Mass-customized Programs; Improve the Learning Experience in Real-time; Reduce Dropouts and Increase Results. |
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| Autores principais: | Barbu, Marian |
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| Outros Autores: | Vilanova, Ramon; Vicario, José; Pereira, Maria João; Alves, Paulo; Podpora, Michal; Kawala-Janik, A.; Prada, Miguel Angel; Dominguez, Manuel; Spagnolini, Anna; Fontana, L. |
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| Assunto: | Academic analytics Learning analytics Big data in education Educational data mining Student profile Dropout prevention |
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| Ano: | 2019 |
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| País: | Portugal |
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| Tipo de documento: | relatório |
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| Tipo de acesso: | acesso aberto |
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| Instituição associada: | Instituto Politécnico de Bragança |
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| Idioma: | inglês |
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| Origem: | Biblioteca Digital do IPB |
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