Exploring the Usage of Generative AI for Group Project-Based Offline Art Courses in Elementary Schools

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Wang, Zhiqing, Fan, Haoxiang, Wu, Shiwei, Chen, Qiaoyi, Liang, Yongqi, Peng, Zhenhui
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866912442689257472
author Wang, Zhiqing
Fan, Haoxiang
Wu, Shiwei
Chen, Qiaoyi
Liang, Yongqi
Peng, Zhenhui
author_facet Wang, Zhiqing
Fan, Haoxiang
Wu, Shiwei
Chen, Qiaoyi
Liang, Yongqi
Peng, Zhenhui
contents The integration of Generative Artificial Intelligence (GenAI) in K-6 project-based art courses presents both opportunities and challenges for enhancing creativity, engagement, and group collaboration. This study introduces a four-phase field study, involving in total two experienced K-6 art teachers and 132 students in eight offline course sessions, to investigate the usage and impact of GenAI. Specifically, based on findings in Phases 1 and 2, we developed AskArt, an interactive interface that combines DALL-E and GPT and is tailored to support elementary school students in their art projects, and deployed it in Phases 3 and 4. Our findings revealed the benefits of GenAI in providing background information, inspirations, and personalized guidance. However, challenges in query formulation for generating expected content were also observed. Moreover, students employed varied collaboration strategies, and teachers noted increased engagement alongside concerns regarding misuse and interface suitability. This study offers insights into the effective integration of GenAI in elementary education, presents AskArt as a practical tool, and provides recommendations for educators and researchers to enhance project-based learning with GenAI technologies.
format Preprint
id arxiv_https___arxiv_org_abs_2506_16874
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Exploring the Usage of Generative AI for Group Project-Based Offline Art Courses in Elementary Schools
Wang, Zhiqing
Fan, Haoxiang
Wu, Shiwei
Chen, Qiaoyi
Liang, Yongqi
Peng, Zhenhui
Human-Computer Interaction
The integration of Generative Artificial Intelligence (GenAI) in K-6 project-based art courses presents both opportunities and challenges for enhancing creativity, engagement, and group collaboration. This study introduces a four-phase field study, involving in total two experienced K-6 art teachers and 132 students in eight offline course sessions, to investigate the usage and impact of GenAI. Specifically, based on findings in Phases 1 and 2, we developed AskArt, an interactive interface that combines DALL-E and GPT and is tailored to support elementary school students in their art projects, and deployed it in Phases 3 and 4. Our findings revealed the benefits of GenAI in providing background information, inspirations, and personalized guidance. However, challenges in query formulation for generating expected content were also observed. Moreover, students employed varied collaboration strategies, and teachers noted increased engagement alongside concerns regarding misuse and interface suitability. This study offers insights into the effective integration of GenAI in elementary education, presents AskArt as a practical tool, and provides recommendations for educators and researchers to enhance project-based learning with GenAI technologies.
title Exploring the Usage of Generative AI for Group Project-Based Offline Art Courses in Elementary Schools
topic Human-Computer Interaction
url https://arxiv.org/abs/2506.16874