Architecture of an intelligent tutor system for personalized recommendation of learning objects considering the theory of structured knowledge maps
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Data de Publicação: | 2021 |
Outros Autores: | , |
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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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 |
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1797052698727546880 |