JOURNAL ARTICLE

Avaliação automática de mapas conceituais baseada na teoria da aprendizagem significativa

Boss, Silvio Luiz Bragatto

Year: 2022 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

Concept map is a useful pedagogical tool which represent a student cognitive structure and help to promote meaningful learning. One difficulty found in the current literature concerns about evaluation of learning mediated by conceptual maps. Researches in the field of computer science and education have been investigated the problem of evaluating learning by comparing the student map with a reference map through computational tools. In our proposal we deal with the identification of the concepts of Ausubel Theory within the map construction process as well as the comparison of maps with reference maps. In this context, this work aims at constructing a proposal for conceptual map evaluation based on Ausubel theory through an architecture that brings together aspects for a structural and semantic analysis. In this sense, we hope to contribute to the area of Informatics in Education through an architectural framework that can subsidize the automation of the concept map evaluation process, which is closer to a meaningful learning evaluation to support teachers and students in the teaching-learning process.

Keywords:
Concept map Meaningful learning Identification (biology) Field (mathematics) Process (computing) Cognitive map Automation Semantics (computer science)

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Topics

Science Education and Pedagogy
Social Sciences →  Social Sciences →  Education
Education and Digital Technologies
Social Sciences →  Social Sciences →  Sociology and Political Science
Science and Education Research
Social Sciences →  Social Sciences →  Education

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