Role-Playing Simulation Games using ChatGPT

Fuente: arXiv
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Autores principales: Stampfl, Rita, Ivkić, Igor, Geyer, Barbara
Formato: Preprint
Publicado: 2024
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author Stampfl, Rita
Ivkić, Igor
Geyer, Barbara
author_facet Stampfl, Rita
Ivkić, Igor
Geyer, Barbara
contents Since the COVID-19 pandemic, educational institutions have embarked on digital transformation projects. The success of these projects depends on integrating new technologies and understanding the needs of digitally literate students. The "learning by doing" approach suggests that real success in learning new skills is achieved when students can try out and practise these skills. In this article, we demonstrate how Large Language Models (LLMs) can enhance the quality of teaching by using ChatGPT in a role-playing simulation game scenario to promote active learning. Moreover, we discuss how LLMs can boost students' interest in learning by allowing them to practice real-life scenarios using ChatGPT.
format Preprint
id arxiv_https___arxiv_org_abs_2402_09161
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Role-Playing Simulation Games using ChatGPT
Stampfl, Rita
Ivkić, Igor
Geyer, Barbara
Artificial Intelligence
Human-Computer Interaction
Since the COVID-19 pandemic, educational institutions have embarked on digital transformation projects. The success of these projects depends on integrating new technologies and understanding the needs of digitally literate students. The "learning by doing" approach suggests that real success in learning new skills is achieved when students can try out and practise these skills. In this article, we demonstrate how Large Language Models (LLMs) can enhance the quality of teaching by using ChatGPT in a role-playing simulation game scenario to promote active learning. Moreover, we discuss how LLMs can boost students' interest in learning by allowing them to practice real-life scenarios using ChatGPT.
title Role-Playing Simulation Games using ChatGPT
topic Artificial Intelligence
Human-Computer Interaction
url https://arxiv.org/abs/2402.09161