Intelligent Tutoring System Using Bayesian Network for Vocational High Schools in Indonesia

The lack of personal tutorials during school hours caused the learning approach at Vocational High Schools to be less optimal, and the student's competence is not achieved maximumly. Some computer-based self-learning systems have been developed as solutions to these problems. Unfortunately, the...

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Autores principales:	Ikhwan Burhan Muhammad, Sediyono Eko, Adi Kusworo
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/8d9fbf230a184cb98fb7046d3477bde1
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id	oai:doaj.org-article:8d9fbf230a184cb98fb7046d3477bde1
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spelling	oai:doaj.org-article:8d9fbf230a184cb98fb7046d3477bde12021-11-08T15:19:57ZIntelligent Tutoring System Using Bayesian Network for Vocational High Schools in Indonesia2267-124210.1051/e3sconf/202131705027https://doaj.org/article/8d9fbf230a184cb98fb7046d3477bde12021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/93/e3sconf_icenis2021_05027.pdfhttps://doaj.org/toc/2267-1242The lack of personal tutorials during school hours caused the learning approach at Vocational High Schools to be less optimal, and the student's competence is not achieved maximumly. Some computer-based self-learning systems have been developed as solutions to these problems. Unfortunately, the system's weakness is that learning does not pay attention to the diversity of students' abilities. Based on those, this research proposes an Intelligent Tutoring System (ITS) model using Bayesian Network at Vocational High Schools (SMK) to determine the level of students' abilities and teach skills competency materials based on each student's ability level. This is quantitative research with quasi-experimental using one group pretest-posttest design. The research participants were 69 students of the Computer and Network Engineering expertise program at SMK Negeri 4 Gowa and SMK Negeri 1 Gowa, South Sulawesi Province, Indonesia. The results showed significant differences in students' learning outcomes after the use of the proposed ITS; in other words, the proposed ITS was effective in increasing the skill competency of Vocational High School Students. The evaluation results showed that the created Bayesian Network model had a high level of accuracy, reaching 84%.Ikhwan Burhan MuhammadSediyono EkoAdi KusworoEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 317, p 05027 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Ikhwan Burhan Muhammad Sediyono Eko Adi Kusworo Intelligent Tutoring System Using Bayesian Network for Vocational High Schools in Indonesia
description	The lack of personal tutorials during school hours caused the learning approach at Vocational High Schools to be less optimal, and the student's competence is not achieved maximumly. Some computer-based self-learning systems have been developed as solutions to these problems. Unfortunately, the system's weakness is that learning does not pay attention to the diversity of students' abilities. Based on those, this research proposes an Intelligent Tutoring System (ITS) model using Bayesian Network at Vocational High Schools (SMK) to determine the level of students' abilities and teach skills competency materials based on each student's ability level. This is quantitative research with quasi-experimental using one group pretest-posttest design. The research participants were 69 students of the Computer and Network Engineering expertise program at SMK Negeri 4 Gowa and SMK Negeri 1 Gowa, South Sulawesi Province, Indonesia. The results showed significant differences in students' learning outcomes after the use of the proposed ITS; in other words, the proposed ITS was effective in increasing the skill competency of Vocational High School Students. The evaluation results showed that the created Bayesian Network model had a high level of accuracy, reaching 84%.
format	article
author	Ikhwan Burhan Muhammad Sediyono Eko Adi Kusworo
author_facet	Ikhwan Burhan Muhammad Sediyono Eko Adi Kusworo
author_sort	Ikhwan Burhan Muhammad
title	Intelligent Tutoring System Using Bayesian Network for Vocational High Schools in Indonesia
title_short	Intelligent Tutoring System Using Bayesian Network for Vocational High Schools in Indonesia
title_full	Intelligent Tutoring System Using Bayesian Network for Vocational High Schools in Indonesia
title_fullStr	Intelligent Tutoring System Using Bayesian Network for Vocational High Schools in Indonesia
title_full_unstemmed	Intelligent Tutoring System Using Bayesian Network for Vocational High Schools in Indonesia
title_sort	intelligent tutoring system using bayesian network for vocational high schools in indonesia
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/8d9fbf230a184cb98fb7046d3477bde1
work_keys_str_mv	AT ikhwanburhanmuhammad intelligenttutoringsystemusingbayesiannetworkforvocationalhighschoolsinindonesia AT sediyonoeko intelligenttutoringsystemusingbayesiannetworkforvocationalhighschoolsinindonesia AT adikusworo intelligenttutoringsystemusingbayesiannetworkforvocationalhighschoolsinindonesia
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Intelligent Tutoring System Using Bayesian Network for Vocational High Schools in Indonesia

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