Implementation of simulators for teaching tasks using GPT

Autores
Godoy, Pablo Daniel; Marianetti, Osvaldo; Fontana, Daniela; Manganelli, Silvina
Año de publicación
2024
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The implementation process of a simulator using a GPT is presented. This simulator is a wave simulator for use in teaching tasks of the physics subject in a grade university course. The selected GPT is ChatGPT. Much of the simulator was written using Javascript, HTML, and CSS, but the code was generated by the GPT. The requests made to the GPT to generate the code are presented. This mechanism is proposed as a higher level of programming, in which the programmer writes instructions in a language closer to human language than other programming languages existing until now. An advantage is the reduction of development time to around half compared to traditional programming techniques. However, deep programming knowledge in the mentioned languages is necessary to handle unexpected responses. A disadvantage is that if the code size grows, the GPT begins to fail. As a result, the projects have to be divided into subprojects and integrated when every part works adequately in a separate way. On the other hand, as a second contribution of this paper, the objective of the simulator is described: to assist in teaching tasks. The context in which it will be employed, expected results and partial results achieved with other simulators are presented.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Simulators for Teaching Tasks
Wave Simulator
Code Generation through GPT
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/176952
Acceder
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spelling Implementation of simulators for teaching tasks using GPTmplementation of Simulators for Teaching TasksUsing GPTGodoy, Pablo DanielMarianetti, OsvaldoFontana, DanielaManganelli, SilvinaCiencias InformáticasSimulators for Teaching TasksWave SimulatorCode Generation through GPTThe implementation process of a simulator using a GPT is presented. This simulator is a wave simulator for use in teaching tasks of the physics subject in a grade university course. The selected GPT is ChatGPT. Much of the simulator was written using Javascript, HTML, and CSS, but the code was generated by the GPT. The requests made to the GPT to generate the code are presented. This mechanism is proposed as a higher level of programming, in which the programmer writes instructions in a language closer to human language than other programming languages existing until now. An advantage is the reduction of development time to around half compared to traditional programming techniques. However, deep programming knowledge in the mentioned languages is necessary to handle unexpected responses. A disadvantage is that if the code size grows, the GPT begins to fail. As a result, the projects have to be divided into subprojects and integrated when every part works adequately in a separate way. On the other hand, as a second contribution of this paper, the objective of the simulator is described: to assist in teaching tasks. The context in which it will be employed, expected results and partial results achieved with other simulators are presented.Sociedad Argentina de Informática e Investigación Operativa2024-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf58-66http://sedici.unlp.edu.ar/handle/10915/176952enginfo:eu-repo/semantics/altIdentifier/url/https://revistas.unlp.edu.ar/JAIIO/article/view/17997info:eu-repo/semantics/altIdentifier/issn/2451-7496info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-05-27T11:41:47Zoai:sedici.unlp.edu.ar:10915/176952Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-05-27 11:41:48.221SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Implementation of simulators for teaching tasks using GPT
mplementation of Simulators for Teaching TasksUsing GPT
title Implementation of simulators for teaching tasks using GPT
spellingShingle Implementation of simulators for teaching tasks using GPT
Godoy, Pablo Daniel
Ciencias Informáticas
Simulators for Teaching Tasks
Wave Simulator
Code Generation through GPT
title_short Implementation of simulators for teaching tasks using GPT
title_full Implementation of simulators for teaching tasks using GPT
title_fullStr Implementation of simulators for teaching tasks using GPT
title_full_unstemmed Implementation of simulators for teaching tasks using GPT
title_sort Implementation of simulators for teaching tasks using GPT
dc.creator.none.fl_str_mv Godoy, Pablo Daniel
Marianetti, Osvaldo
Fontana, Daniela
Manganelli, Silvina
author Godoy, Pablo Daniel
author_facet Godoy, Pablo Daniel
Marianetti, Osvaldo
Fontana, Daniela
Manganelli, Silvina
author_role author
author2 Marianetti, Osvaldo
Fontana, Daniela
Manganelli, Silvina
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Simulators for Teaching Tasks
Wave Simulator
Code Generation through GPT
topic Ciencias Informáticas
Simulators for Teaching Tasks
Wave Simulator
Code Generation through GPT
dc.description.none.fl_txt_mv The implementation process of a simulator using a GPT is presented. This simulator is a wave simulator for use in teaching tasks of the physics subject in a grade university course. The selected GPT is ChatGPT. Much of the simulator was written using Javascript, HTML, and CSS, but the code was generated by the GPT. The requests made to the GPT to generate the code are presented. This mechanism is proposed as a higher level of programming, in which the programmer writes instructions in a language closer to human language than other programming languages existing until now. An advantage is the reduction of development time to around half compared to traditional programming techniques. However, deep programming knowledge in the mentioned languages is necessary to handle unexpected responses. A disadvantage is that if the code size grows, the GPT begins to fail. As a result, the projects have to be divided into subprojects and integrated when every part works adequately in a separate way. On the other hand, as a second contribution of this paper, the objective of the simulator is described: to assist in teaching tasks. The context in which it will be employed, expected results and partial results achieved with other simulators are presented.
Sociedad Argentina de Informática e Investigación Operativa
description The implementation process of a simulator using a GPT is presented. This simulator is a wave simulator for use in teaching tasks of the physics subject in a grade university course. The selected GPT is ChatGPT. Much of the simulator was written using Javascript, HTML, and CSS, but the code was generated by the GPT. The requests made to the GPT to generate the code are presented. This mechanism is proposed as a higher level of programming, in which the programmer writes instructions in a language closer to human language than other programming languages existing until now. An advantage is the reduction of development time to around half compared to traditional programming techniques. However, deep programming knowledge in the mentioned languages is necessary to handle unexpected responses. A disadvantage is that if the code size grows, the GPT begins to fail. As a result, the projects have to be divided into subprojects and integrated when every part works adequately in a separate way. On the other hand, as a second contribution of this paper, the objective of the simulator is described: to assist in teaching tasks. The context in which it will be employed, expected results and partial results achieved with other simulators are presented.
publishDate 2024
dc.date.none.fl_str_mv 2024-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
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info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/176952
url http://sedici.unlp.edu.ar/handle/10915/176952
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://revistas.unlp.edu.ar/JAIIO/article/view/17997
info:eu-repo/semantics/altIdentifier/issn/2451-7496
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
58-66
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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instname_str Universidad Nacional de La Plata
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institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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