How can Generative Artificial Intelligence (AI) be Effectively Incorporated into Middle School Art Students to Develop Creative Thinking and Enhance A Sense of Community?
Keywords:
Art education, creativity, generative Artificial Intelligence (AI), AI, English as a Second Language (ESL), prompt engineeringAbstract
As a middle school educator, I enhance student creativity through visual expression, weaving ideas into education’s cultural tapestry using emerging technologies like generative AI. Post-pandemic research highlights a need for connection and belonging. Writing and art foster this connection, building creative confidence and self-efficacy. This qualitative analysis explores how generative AI can revitalize instruction by supporting creative learning, particularly for art and language educators. Grounded in Vygotsky’s Zone of Proximal Development, the study focuses on three key challenges: (1) Students often hesitate to begin due to perceived limitations—AI tools can help them visualize ideas and start creating. (2) Learning may feel intimidating—AI can introduce novelty and collaborative projects to boost engagement. (3) Diverse student needs—AI can personalize learning, supporting ESL students by scaffolding understanding, enhancing critical thinking, and adapting to learning pace. This research aims to guide educators and developers in designing tools that empower student voice, creativity, and expression.
Downloads
References
Alberta Teachers’ Association (2021). Growing up digital (GUD) Alberta project, https://legacy.teachers.ab.ca/SiteCollectionDocuments/ATA/About/Education%20Resear ch/Promise%20and%20Peril/COOR-101-10%20GUD%20Infographic.pdf
Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming education: A comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis. Sustainability (Basel, Switzerland), 15(17), Article 12983. https://doi.org/10.3390/su151712983
Bates, A. W. (2023, July 22). Education & cognition public lecture with Dr. Tony Bates [Video]. Youtube. https://www.youtube.com/watch?v=MpWJs7z9nPI
Belshaw, D. (2014). The essential elements of digital literacies. http://digitalliteraci.es
Drisko, J. W., & Maschi, T. (2015). Content analysis. Oxford University Press.
Eaton, S. (2023, March 15). Academic integrity and artificial intelligence: Implications for plagiarism and academic writing [Video]. Youtube. https://www.youtube.com/watch?v=9QNNPVSC24w
Ivcevic, Z., & Grandinetti, M. (2024). Artificial intelligence as a tool for creativity. Journal of Creativity, 34(2), Article 100079. https://doi.org/10.1016/j.joc.2024.100079
Kelly, R. (2020). Collaborative creativity: Educating for creative development, innovation, and entrepreneurship. Brush Education. https://ezproxy.lib.ucalgary.ca/login?url=https://search.ebscohost.com/login.aspx?direct= true&db=nlebk&AN=2394555&site=ehost-live
Li, Y., Kim, M., & Palkar, J. (2022). Using emerging technologies to promote creativity in education: A systematic review. International Journal of Educational Research Open, 3, Article 100177. https://doi.org/10.1016/j.ijedro.2022.100177
Mollick, E., & Mollick, L. (2023). Assigning AI: seven approaches for students, with prompts. https://doi.org/10.48550/arxiv.2306.10052
Robinson, K. (2020). A global reset of education. Prospects, 49, 7-9. https://doi.org/10.1007/s11125-020-09493-y
Sawyer, R. K. (2012). Explaining creativity: The science of human innovation (2nd ed.). Oxford University Press.
Temirgalieva, A. (2025). Development of Critical Thinking through the Use of AI. Eurasian Science Review: An International Peer-Reviewed Multidisciplinary Journal, 2(Special Issue), 2439–2450. https://doi.org/10.63034/esr-300
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Walter, Y. (2024). Embracing the future of artificial intelligence in the classroom: The relevance of AI literacy, prompt engineering, and critical thinking in modern education. Education and Information Technologies, 29(4), 2345-2362. https://doi.org/10.1186/s41239-024-00448-3
Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14, Article 1261955. https://doi.org/10.3389/fpsyg.2023.1261955
McCormack, J., Gifford, T., & Hutchings, P. (2019). Autonomy, authenticity, authorship, and intention in computer-generated art. Digital Creativity, 31(1), 1–19. https://doi.org/10.1080/14626268.2019.1600769
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Joyce Jakobsen

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors retain copyright of their papers, including publishing and commercial rights. Attribution should be given to EPIGREP when publishing a previously published article in another venue, including personal websites and blogs.
Copyright information for readers can be found here: http://creativecommons.org/licenses/by-nc-nd/4.0