Architecture of an intelligent tutor system for personalized recommendation of learning objects considering the theory of structured knowledge maps

Detalhes bibliográficos
Autor(a) principal: Melo, Sara Luzia de
Data de Publicação: 2021
Outros Autores: Sousa, Régis Michel dos Santos, Lima, Luciano Vieira
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/23831
Resumo: This work proposes an architecture of an Intelligent Tutor System based on the Theory of Structured Knowledge to customize the learning objects offered to the student. For this, it intends that the teacher's interface be inserted in the system's architecture. The adaptive sequencing of the course is carried out through the theory of Structured Knowledge Maps, in which the teacher will be responsible for specifying the concepts and minimum knowledge needed to understand each item in the curriculum. In the student interface, in order to avoid cognitive overload, the system will map the prerequisite doubts of concepts and knowledge and then present the learning objects, in different formats, according to the needs of student learning. Thus, through the information contained in the Student Model and the Domain Model, upon detecting that the student is in an unproductive learning cycle, as well as a need for learning, the Pedagogical Module will execute personalized instructions based on prior knowledge and affective profile of the student.
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spelling Architecture of an intelligent tutor system for personalized recommendation of learning objects considering the theory of structured knowledge mapsArquitectura de un sistema tutor inteligente para la recomendación personalizada de objetos de aprendizaje considerando la teoría de mapas del conocimiento estructuradosArquitetura de um sistema tutor inteligente para recomendação personalizada de objetos de aprendizagem considerando a teoria dos mapas de conhecimentos estruturadosIntelligent Tutoring SystemsAffective ComputingAdaptive Course PlanningInformatics in education.Sistemas de tutoría inteligenteComputación AfectivaPlanificación adaptativa del cursoInformática en la educación.Sistemas Tutores InteligentesComputação AfetivaPlanejamento Adaptativo do CursoInformática na educação.This work proposes an architecture of an Intelligent Tutor System based on the Theory of Structured Knowledge to customize the learning objects offered to the student. For this, it intends that the teacher's interface be inserted in the system's architecture. The adaptive sequencing of the course is carried out through the theory of Structured Knowledge Maps, in which the teacher will be responsible for specifying the concepts and minimum knowledge needed to understand each item in the curriculum. In the student interface, in order to avoid cognitive overload, the system will map the prerequisite doubts of concepts and knowledge and then present the learning objects, in different formats, according to the needs of student learning. Thus, through the information contained in the Student Model and the Domain Model, upon detecting that the student is in an unproductive learning cycle, as well as a need for learning, the Pedagogical Module will execute personalized instructions based on prior knowledge and affective profile of the student.Este trabajo propone una arquitectura de un Sistema Tutor Inteligente basado en la Teoría de Mapas Estructurados del Conocimiento y el Método de Memorización Exponencial y Efectiva en Base Binaria para personalizar los objetos de aprendizaje ofrecidos al alumno. Para ello, se pretende que la interfaz del profesor se inserte en la arquitectura del sistema. La secuencia adaptativa del curso se lleva a cabo a través de la teoría de Mapas Estructurados de Conocimiento, en la que el docente se encargará de concretar los conceptos y conocimientos mínimos necesarios para comprender cada ítem del plan de estudios. En la interfaz del alumno, para evitar la sobrecarga cognitiva, el sistema mapeará las dudas prerrequisito de conceptos y conocimientos y luego presentará los objetos de aprendizaje, en diferentes formatos, de acuerdo con las necesidades de aprendizaje del alumno. Así, a través de la información contenida en el Modelo de Alumno y el Modelo de Dominio, al detectar que el alumno se encuentra en un ciclo de aprendizaje improductivo, así como una necesidad de aprendizaje, el Módulo Pedagógico ejecutará instrucciones personalizadas basadas en conocimientos previos y perfil afectivo del alumno.Este trabalho propõe uma arquitetura de um Sistema Tutor Inteligente baseada na Teoria dos Mapas de Conhecimentos Estruturados para personalização dos objetos de aprendizagem oferecidos ao estudante. Para isto, pretende que a interface do professor seja inserida na arquitetura do sistema. O sequenciamento adaptativo do curso é realizado por meio da teoria dos Mapas de Conhecimentos Estruturados, no qual o professor será responsável por especificar os conceitos e conhecimentos mínimos necessários para a compreensão de cada item da matriz curricular. Na interface do estudante, com o objetivo de evitar a sobrecarga cognitiva, o sistema efetuará o mapeamento das dúvidas de pré-requisitos de conceitos e conhecimentos e, em seguida, apresentará os objetos de aprendizagem, em diferentes formatos, de acordo com às necessidades de aprendizagem do estudante. Desse modo, por meio das informações contidas no Modelo do Estudante e no Modelo de Domínio, ao detectar que o estudante se encontra em um ciclo improdutivo de aprendizagem o Módulo Pedagógico executará instruções personalizadas ao conhecimento prévio e perfil afetivo do estudante.Research, Society and Development2021-12-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2383110.33448/rsd-v10i16.23831Research, Society and Development; Vol. 10 No. 16; e518101623831Research, Society and Development; Vol. 10 Núm. 16; e518101623831Research, Society and Development; v. 10 n. 16; e5181016238312525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/23831/21168Copyright (c) 2021 Sara Luzia de Melo; Régis Michel dos Santos Sousa; Luciano Vieira Limahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMelo, Sara Luzia de Sousa, Régis Michel dos SantosLima, Luciano Vieira2021-12-20T11:03:07Zoai:ojs.pkp.sfu.ca:article/23831Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:42:34.417327Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Architecture of an intelligent tutor system for personalized recommendation of learning objects considering the theory of structured knowledge maps
Arquitectura de un sistema tutor inteligente para la recomendación personalizada de objetos de aprendizaje considerando la teoría de mapas del conocimiento estructurados
Arquitetura de um sistema tutor inteligente para recomendação personalizada de objetos de aprendizagem considerando a teoria dos mapas de conhecimentos estruturados
title Architecture of an intelligent tutor system for personalized recommendation of learning objects considering the theory of structured knowledge maps
spellingShingle Architecture of an intelligent tutor system for personalized recommendation of learning objects considering the theory of structured knowledge maps
Melo, Sara Luzia de
Intelligent Tutoring Systems
Affective Computing
Adaptive Course Planning
Informatics in education.
Sistemas de tutoría inteligente
Computación Afectiva
Planificación adaptativa del curso
Informática en la educación.
Sistemas Tutores Inteligentes
Computação Afetiva
Planejamento Adaptativo do Curso
Informática na educação.
title_short Architecture of an intelligent tutor system for personalized recommendation of learning objects considering the theory of structured knowledge maps
title_full Architecture of an intelligent tutor system for personalized recommendation of learning objects considering the theory of structured knowledge maps
title_fullStr Architecture of an intelligent tutor system for personalized recommendation of learning objects considering the theory of structured knowledge maps
title_full_unstemmed Architecture of an intelligent tutor system for personalized recommendation of learning objects considering the theory of structured knowledge maps
title_sort Architecture of an intelligent tutor system for personalized recommendation of learning objects considering the theory of structured knowledge maps
author Melo, Sara Luzia de
author_facet Melo, Sara Luzia de
Sousa, Régis Michel dos Santos
Lima, Luciano Vieira
author_role author
author2 Sousa, Régis Michel dos Santos
Lima, Luciano Vieira
author2_role author
author
dc.contributor.author.fl_str_mv Melo, Sara Luzia de
Sousa, Régis Michel dos Santos
Lima, Luciano Vieira
dc.subject.por.fl_str_mv Intelligent Tutoring Systems
Affective Computing
Adaptive Course Planning
Informatics in education.
Sistemas de tutoría inteligente
Computación Afectiva
Planificación adaptativa del curso
Informática en la educación.
Sistemas Tutores Inteligentes
Computação Afetiva
Planejamento Adaptativo do Curso
Informática na educação.
topic Intelligent Tutoring Systems
Affective Computing
Adaptive Course Planning
Informatics in education.
Sistemas de tutoría inteligente
Computación Afectiva
Planificación adaptativa del curso
Informática en la educación.
Sistemas Tutores Inteligentes
Computação Afetiva
Planejamento Adaptativo do Curso
Informática na educação.
description This work proposes an architecture of an Intelligent Tutor System based on the Theory of Structured Knowledge to customize the learning objects offered to the student. For this, it intends that the teacher's interface be inserted in the system's architecture. The adaptive sequencing of the course is carried out through the theory of Structured Knowledge Maps, in which the teacher will be responsible for specifying the concepts and minimum knowledge needed to understand each item in the curriculum. In the student interface, in order to avoid cognitive overload, the system will map the prerequisite doubts of concepts and knowledge and then present the learning objects, in different formats, according to the needs of student learning. Thus, through the information contained in the Student Model and the Domain Model, upon detecting that the student is in an unproductive learning cycle, as well as a need for learning, the Pedagogical Module will execute personalized instructions based on prior knowledge and affective profile of the student.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-17
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/23831
10.33448/rsd-v10i16.23831
url https://rsdjournal.org/index.php/rsd/article/view/23831
identifier_str_mv 10.33448/rsd-v10i16.23831
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/23831/21168
dc.rights.driver.fl_str_mv Copyright (c) 2021 Sara Luzia de Melo; Régis Michel dos Santos Sousa; Luciano Vieira Lima
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Sara Luzia de Melo; Régis Michel dos Santos Sousa; Luciano Vieira Lima
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 16; e518101623831
Research, Society and Development; Vol. 10 Núm. 16; e518101623831
Research, Society and Development; v. 10 n. 16; e518101623831
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052698727546880

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