A Conceptual Framework to use Remediation of Errors Based on Multiple External Remediation Applied to Learning Objects

Título

A Conceptual Framework to use Remediation of Errors Based on Multiple External Remediation Applied to Learning Objects

Autor

Maici Duarte Leite, Diego Marczal, Andrey Ricardo Pimentel, Alexandre Ibrahim Direne

Descripción

This paper presents the application of some concepts of Intelligent Tutoring Systems (ITS) to elaborate a conceptual framework that uses the remediation of errors with Multiple External Representations (MERs) in Learning Objects (LO). To this is demonstrated a development of LO for teaching the Pythagorean Theorem through this framework. This study explored the remediation process of error by a classification of error in mathematical, providing support for the use of MERs with the remediation of error. The main objective of the proposed framework is to assist the individual learner in the recovery of a mistake made during the interaction with the LO, either through carelessness or lack of knowledge. Initially, we present the compilation of the classification of mathematical errors and their relationship with MERs. Later the concepts involved with conceptual framework proposed. Finally, an experiment with LO developed with a authoring tool called FARMA, using the conceptual framework for teaching the Pythagorean Theorem is presented.

Fecha

2014

Materia

Intelligent Learning Objects, e-learning, Multiple External Representations

Identificador

DOI: 10.3926/jotse.111

Fuente

Journal of Technology and Science Education

Editor

OmniaScience

Cobertura

Technology, Education, Special aspects of education, Engineering (General). Civil engineering (General)

Idioma

EN

Archivos

https://socictopen.socict.org/files/to_import/pdfs/article 532.pdf

Colección

Citación

Maici Duarte Leite, Diego Marczal, Andrey Ricardo Pimentel, Alexandre Ibrahim Direne, “A Conceptual Framework to use Remediation of Errors Based on Multiple External Remediation Applied to Learning Objects,” SOCICT Open, consulta 19 de abril de 2026, https://socictopen.socict.org/items/show/504.

Formatos de Salida

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