Implementation of simulators for teaching tasks using GPT

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 gener...

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Detalles Bibliográficos
Autores principales:	Godoy, Pablo Daniel, Marianetti, Osvaldo, Fontana, Daniela, Manganelli, Silvina
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2024
Materias:	Ciencias Informáticas Simulators for Teaching Tasks Wave Simulator Code Generation through GPT
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/176952
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-176952
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spelling	I19-R120-10915-1769522025-02-26T20:07:10Z http://sedici.unlp.edu.ar/handle/10915/176952 Implementation of simulators for teaching tasks using GPT mplementation of Simulators for Teaching TasksUsing GPT Godoy, Pablo Daniel Marianetti, Osvaldo Fontana, Daniela Manganelli, Silvina 2024-08 2024 2025-02-26T16:55:51Z en Ciencias Informáticas Simulators for Teaching Tasks Wave Simulator Code Generation through GPT 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 Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 58-66
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Simulators for Teaching Tasks Wave Simulator Code Generation through GPT
spellingShingle	Ciencias Informáticas Simulators for Teaching Tasks Wave Simulator Code Generation through GPT Godoy, Pablo Daniel Marianetti, Osvaldo Fontana, Daniela Manganelli, Silvina Implementation of simulators for teaching tasks using GPT
topic_facet	Ciencias Informáticas Simulators for Teaching Tasks Wave Simulator Code Generation through GPT
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.
format	Objeto de conferencia Objeto de conferencia
author	Godoy, Pablo Daniel Marianetti, Osvaldo Fontana, Daniela Manganelli, Silvina
author_facet	Godoy, Pablo Daniel Marianetti, Osvaldo Fontana, Daniela Manganelli, Silvina
author_sort	Godoy, Pablo Daniel
title	Implementation of simulators for teaching tasks using 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
publishDate	2024
url	http://sedici.unlp.edu.ar/handle/10915/176952
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Implementation of simulators for teaching tasks using GPT

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