Descripción
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Formative assessment enhances human learning processes as it provides learners wiith information about what they need to work on. To automate formative assessment, we built a general model ( GLMP) that allows the design of systems aimed at reproducing instructor's reasoning for learning assessment and generate a natural language assessment report. This paper presents a methodology for designing these automatic evaluators, highlighting the nlain points to be taken into consideration by the designer. | |
Internacional
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Si |
Nombre congreso
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THE 12TH INTERNATIONAL FLINS CONFERENCE |
Tipo de participación
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960 |
Lugar del congreso
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Roubaix, France |
Revisores
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Si |
ISBN o ISSN
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9789813146969 |
DOI
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Fecha inicio congreso
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24/08/2016 |
Fecha fin congreso
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26/08/2016 |
Desde la página
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44 |
Hasta la página
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49 |
Título de las actas
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Uncertainty Modelling in Knowledge Engineering and Decision Making . Proceedings of the 12th International FLINS Conference |