Intelligent tutoring Module for a 3Dgame-based science e-learning platform
The three-dimensional (3D) game-based intelligent science tutoring system (GIST) is an e- learning platform for science. The individual complexity of 3D games and conventional intelligent tutoring systems (ITS) results in extra complexities in system design and development of GIST. It is significant...
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Format: | Article |
Language: | English |
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Asociación Española para la Inteligencia Artificial
2017-02-01
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Series: | Inteligencia Artificial |
Online Access: | http://journal.iberamia.org/index.php/intartif/article/view/87 |
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author | Donfeng Liu Luis Barba-Guamán Priscila Valdiviezo-Díaz Guido Riofrio |
author_facet | Donfeng Liu Luis Barba-Guamán Priscila Valdiviezo-Díaz Guido Riofrio |
author_sort | Donfeng Liu |
collection | DOAJ |
description | The three-dimensional (3D) game-based intelligent science tutoring system (GIST) is an e- learning
platform for science. The individual complexity of 3D games and conventional intelligent tutoring systems (ITS)
results in extra complexities in system design and development of GIST. It is significant to develop practical
GIST, not just to seek the powerful ones. The main contribution of this paper is the lightweight modelling of the
intelligent tutoring module based on the brief-desire-intention (BDI) framework. The tutoring module, which is
implemented by integration of the BDI framework into a game actor, can be able to suggest to each student
specific learning tasks based on his/her learning histories. As a study case, algebra-based physics are intentionally
chosen as the learning contents in this 3D game-based learning system, since the most of existing 3D game-based
learning systems only focused on the qualitative understanding of physical concepts. Our proposed modelling is
only based on the BDI reasoning mechanism, so it can be easily extended to obtain practical GIST by using
standard game engines. |
first_indexed | 2024-12-21T18:08:09Z |
format | Article |
id | doaj.art-e20bf2570d7044ac82f570526ac36a76 |
institution | Directory Open Access Journal |
issn | 1137-3601 1988-3064 |
language | English |
last_indexed | 2024-12-21T18:08:09Z |
publishDate | 2017-02-01 |
publisher | Asociación Española para la Inteligencia Artificial |
record_format | Article |
series | Inteligencia Artificial |
spelling | doaj.art-e20bf2570d7044ac82f570526ac36a762022-12-21T18:54:53ZengAsociación Española para la Inteligencia ArtificialInteligencia Artificial1137-36011988-30642017-02-01206011910.4114/intartif.vol20iss60pp1-1987Intelligent tutoring Module for a 3Dgame-based science e-learning platformDonfeng Liu0Luis Barba-Guamán1Priscila Valdiviezo-Díaz2Guido Riofrio3Scoool of Information Engineering, Guandong University of Technology, Guangzhou, China. Departamento de Ciencias de la Computación y Electrónica, Universidad Técnica Particular de Loja, Loja, EcuadorDepartamento de Ciencias de la Computación y Electrónica, Universidad Técnica Particular de Loja, Loja, EcuadorDepartamento de Ciencias de la Computación y Electrónica, Universidad Técnica Particular de Loja, Loja, EcuadorDepartamento de Ciencias de la Computación y Electrónica, Universidad Técnica Particular de Loja, Loja, EcuadorThe three-dimensional (3D) game-based intelligent science tutoring system (GIST) is an e- learning platform for science. The individual complexity of 3D games and conventional intelligent tutoring systems (ITS) results in extra complexities in system design and development of GIST. It is significant to develop practical GIST, not just to seek the powerful ones. The main contribution of this paper is the lightweight modelling of the intelligent tutoring module based on the brief-desire-intention (BDI) framework. The tutoring module, which is implemented by integration of the BDI framework into a game actor, can be able to suggest to each student specific learning tasks based on his/her learning histories. As a study case, algebra-based physics are intentionally chosen as the learning contents in this 3D game-based learning system, since the most of existing 3D game-based learning systems only focused on the qualitative understanding of physical concepts. Our proposed modelling is only based on the BDI reasoning mechanism, so it can be easily extended to obtain practical GIST by using standard game engines.http://journal.iberamia.org/index.php/intartif/article/view/87 |
spellingShingle | Donfeng Liu Luis Barba-Guamán Priscila Valdiviezo-Díaz Guido Riofrio Intelligent tutoring Module for a 3Dgame-based science e-learning platform Inteligencia Artificial |
title | Intelligent tutoring Module for a 3Dgame-based science e-learning platform |
title_full | Intelligent tutoring Module for a 3Dgame-based science e-learning platform |
title_fullStr | Intelligent tutoring Module for a 3Dgame-based science e-learning platform |
title_full_unstemmed | Intelligent tutoring Module for a 3Dgame-based science e-learning platform |
title_short | Intelligent tutoring Module for a 3Dgame-based science e-learning platform |
title_sort | intelligent tutoring module for a 3dgame based science e learning platform |
url | http://journal.iberamia.org/index.php/intartif/article/view/87 |
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