Validating instructional design and predicting student performance in histology education: Using machine learning via virtual microscopy.

Fries, Allyson; Pirotte, Marie; Vanhee, Laurent; Bonnet, Pierre; Quatresooz, Pascale; Debruyne, Christophe; Marée, Raphaël; Defaweux, Valérie

Fries, Allyson; Pirotte, Marie; Vanhee, Laurent; Bonnet, Pierre; Quatresooz, Pascale; Debruyne, Christophe; Marée, Raphaël; Defaweux, Valérie.

Afiliação

Fries A; Department of Biomedical and Preclinical Sciences, Faculty of Medicine, University of Liege, Liège, Belgium.
Pirotte M; Department of Biomedical and Preclinical Sciences, Faculty of Medicine, University of Liege, Liège, Belgium.
Vanhee L; Montefiore Institute of Electrical Engineering and Computer Science, University of Liège, Liège, Belgium.
Bonnet P; Department of Biomedical and Preclinical Sciences, Faculty of Medicine, University of Liege, Liège, Belgium.
Quatresooz P; Department of Biomedical and Preclinical Sciences, Faculty of Medicine, University of Liege, Liège, Belgium.
Debruyne C; Montefiore Institute of Electrical Engineering and Computer Science, University of Liège, Liège, Belgium.
Marée R; Montefiore Institute of Electrical Engineering and Computer Science, University of Liège, Liège, Belgium.
Defaweux V; Department of Biomedical and Preclinical Sciences, Faculty of Medicine, University of Liege, Liège, Belgium.

Anat Sci Educ ; 2023 Oct 07.

Article em En | MEDLINE | ID: mdl-37803970

Palavras-chave

education; histology; learning analytics; virtual microscopy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Anat Sci Educ Assunto da revista: ANATOMIA / EDUCACAO Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bélgica

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