Transforming Education with GenAI: Case Study on ChatGPT, Midjourney, and Policy Changes

Authors

Keywords:

Market Trend Analysis, Data-Driven Decision Making, Artificial Intelligence, Business Competitiveness

Abstract

Generative Artificial Intelligence (GenAI) tools have become increasingly accessible and have impacted school education in many ways. However, most of the conversations happen in college. In schools, teachers’ views are crucial to understanding innovative technologies. Therefore, this qualitative research aims to investigate how GenAI is changing our school education from the perspective of teachers and school leaders. This research uses four domains– learning, teaching, assessment, and administration – as an initial framework suggested in systematic literature studies on AI in education. The participants were 88 school teachers and leaders with diverse backgrounds. They filled out surveys and joined focus groups to share how ChatGPT and Midjounery are
impacting GenAI on school education. Thematic analysis identified four main themes and 12 subthemes. The findings provide three practice suggestions: a know-it-all attitude, new prerequisite knowledge, interdisciplinary teaching, and three policy implications: new assessments, AI education, and professional standards. They also suggest six future research directions for GenAI in education.

Downloads

Download data is not yet available.

References

1] L. Meakin, “Integrating generative artificial intelligence to transform education,” Journal of Transformative Learning, vol. 11, no. 1 pp. 67–79, 2024.

[2] H. Chang and F. Parkes, “The academic integrity-artificial intelligence nexus: An institutional and personal normative risk to quality of learning and teaching at higher education institutions.”

[3] M. N. Sahu, “The genai revolution: Unleashing the role of information technology in education,” Sudarshan Research Journal, pp. 55–57, 2024.

[4] G. Saunders and F. Oradini, “Making sense of generative ai: Seeking to catalyse digital transformation in education,” in EDULEARN24 Proceedings. IATED, 2024, pp. 3738–3747.

[5] K. Meli, J. Taouki, and D. Pantazatos, “Empowering educators with generative ai: The genai education frontier initiative,” in EDULEARN24 Proceedings. IATED, 2024, pp. 4289–4299.

[6] N. P. L. Santoso, D. I. Desrianti, D. Darmawan, S. M. Wahid, A. Fitriani, and A. Y. Fauzi, “Optimizing solar energy adoption through technological and economic initiatives,” in 2024 3rd International Conference on Creative Communication and Innovative Technology (ICCIT). IEEE, 2024, pp. 1–6.

[7] K. A. A. Manurung, H. Siregar, I. Fahmi, and D. B. Hakim, “Value chain and esg performance as determinants of sustainable lending in commercial bank: A systematic literature review,” Aptisi Transactions on Technopreneurship (ATT), vol. 6, no. 1, pp. 41–55, 2024.

[8] Z. Bahroun, C. Anane, V. Ahmed, and A. Zacca, “Transforming education: A comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis,” Sustainability, vol. 15, no. 17, p. 12983, 2023.

[9] S. S. Gill, M. Xu, P. Patros, H. Wu, R. Kaur, K. Kaur, S. Fuller, M. Singh, P. Arora, A. K. Parlikad et al., “Transformative effects of chatgpt on modern education: Emerging era of ai chatbots,” Internet of Things and Cyber-Physical Systems, vol. 4, pp. 19–23, 2024.

[10] P. Escamilla-Fajardo, M. Alguacil, and S. L´opez-Carril, “Incorporating tiktok in higher education: Pedagogical perspectives from a corporal expression sport sciences course,” Journal of Hospitality, Leisure, Sport & Tourism Education, vol. 28, p. 100302, 2021.

[11] Y. Jiang, X. Li, H. Luo, S. Yin, and O. Kaynak, “Quo vadis artificial intelligence?” Discover Artificial Intelligence, vol. 2, no. 1, p. 4, 2022.

[12] W. Ertel, Introduction to artificial intelligence. Springer Nature, 2024.

[13] R. Adams, “Can artificial intelligence be decolonized?” Interdisciplinary Science Reviews, vol. 46, no. 1-2, pp. 176–197, 2021.

[14] T. Huynh-The, Q.-V. Pham, X.-Q. Pham, T. T. Nguyen, Z. Han, and D.-S. Kim, “Artificial intelligence for the metaverse: A survey,” Engineering Applications of Artificial Intelligence, vol. 117, p. 105581, 2023.

[15] C. Huang, Z. Zhang, B. Mao, and X. Yao, “An overview of artificial intelligence ethics,” IEEE Transactions on Artificial Intelligence, vol. 4, no. 4, pp. 799–819, 2022.

[16] T. Hidayat, D. Manongga, Y. Nataliani, S. Wijono, S. Y. Prasetyo, E. Maria, U. Raharja, I. Sembiring et al., “Performance prediction using cross validation (gridsearchcv) for stunting prevalence,” in 2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS). IEEE, 2024, pp. 1–6.

[17] E. Sarrion, “What is chatgpt?” in Exploring the power of ChatGPT: Applications, techniques, and implications. Springer, 2023, pp. 38.

[18] G. Godwin, S. R. P. Junaedi, M. Hardini, and S. Purnama, “Inovasi bisnis digital untuk mendorong pertumbuhan umkm melalui teknologi dan adaptasi digital,” ADI Bisnis Digital Interdisiplin Jurnal, vol. 5, no. 2, pp. 41–47, 2024.

[19] S. S. Biswas, “Role of chat gpt in public health,” Annals of biomedical engineering, vol. 51, no. 5, pp. 868–869, 2023.

[20] M. Spitzer, “Chatgpt,” Nervenheilkunde, vol. 42, no. 04, pp. 192–199, 2023.

[21] A. Jaruga-Rozdolska, “Artificial intelligence as part of future practices in the architect’s work: Midjourney generative tool as part of a process of creating an architectural form,” Architectus, no. 3 (71, pp. 95–104, 2022.

[22] A. Borji, “Generated faces in the wild: Quantitative comparison of stable diffusion, midjourney and dall-e2,” arXiv preprint arXiv:2210.00586, 2022.

[23] T. K. Chiu, “The impact of generative ai (genai) on practices, policies and research direction in education: A case of chatgpt and midjourney,” Interactive Learning Environments, vol. 32, no. 10, pp. 6187–6203, 2024

24] Y. Zhang and C. Liu, “Unlocking the potential of artificial intelligence in fashion design and e-commerce applications: The case of midjourney,” Journal of Theoretical and Applied Electronic Commerce Research, vol. 19, no. 1, pp. 654–670, 2024.

[25] A. D. Knochel, “Midjourney killed the photoshop star: Assembling the emerging field of synthography,” Studies in Art Education, vol. 64, no. 4, pp. 467–481, 2023.

[26] M. Rossi, G. A. Toto, L. Melchiorre, and M. Ciletti, “The impact of generative artificial intelligence (genai) on education: A review of the potential, the risks and the role of immersive technologies,” Education Sciences & Society: 2, 2024, pp. 400–415, 2024.

[27] R. Whitham, N. Jacobs, P. Coulton, G. Stockton, and J. Lindley, “Re-imagining and reaffirming design pedagogy in response to generative ai tools,” 2024.

[28] T. Kee, B. Kuys, and R. King, “Generative artificial intelligence to enhance architecture education to develop digital literacy and holistic competency,” Journal of Artificial Intelligence in Architecture, vol. 3, no. 1, pp. 24–41, 2024.

[29] H. Nagpal, “Policies, procedures, and guidelines: are universities effectively ensuring ai (academic integrity) in the era of generative ai?” Ph.D. dissertation, 2024.

[30] N. Singh, V. Chaudhary, N. Singh, N. Soni, and A. Kapoor, “Transforming business with generative ai: Research, innovation, market deployment and future shifts in business models,” arXiv preprint arXiv:2411.14437, 2024.

[31] M. Tedre and H. Vartiainen, “How text-to-image generative ai is transforming mediated action?” Authorea Preprints, 2023.

[32] L. Yan, S. Greiff, Z. Teuber, and D. Gaˇsevi´c, “Promises and challenges of generative artificial intelligence for human learning,” Nature Human Behaviour, vol. 8, no. 10, pp. 1839–1850, 2024.

[33] D. Wood and S. H. Moss, “Evaluating the impact of students’ generative ai use in educational contexts,” Journal of Research in Innovative Teaching & Learning, vol. 17, no. 2, pp. 152–167, 2024.

[34] M. Yasmeen, M. Arshad, A. Jamil, and N. Akhtar, “Generative ai in secondary educators’ perspectives on academic learning and integrity,” Al-Aijaz Research Journal of Islamic Studies & Humanities, vol. 8, no. 1, pp. 119–128, 2024.

[35] U. Mittal, S. Sai, V. Chamola et al., “A comprehensive review on generative ai for education,” IEEE Access, 2024.

[36] T. Rasul, S. Nair, D. Kalendra, M. Balaji, F. de Oliveira Santini, W. J. Ladeira, R. A. Rather, N. Yasin, R. V. Rodriguez, P. Kokkalis et al., “Enhancing academic integrity among students in genai era: A holistic framework,” The International Journal of Management Education, vol. 22, no. 3, p. 101041, 2024.

[37] X. Weng, X. Qi, M. Gu, K. Rajaram, and T. K. Chiu, “Assessment and learning outcomes for generative ai in higher education: A scoping review on current research status and trends,” Australasian Journal of Educational Technology, 2024.

[38] C. E. Smith, K. Shiekh, H. Cooreman, S. Rahman, Y. Zhu, M. K. Siam, M. Ivanitskiy, A. M. Ahmed, M. Hallinan, A. Grisak et al., “Early adoption of generative artificial intelligence in computing education: Emergent student use cases and perspectives in 2023,” in Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024, pp. 3–9.

Downloads

Published

2025-03-21

Issue

Section

Articles

How to Cite

Transforming Education with GenAI: Case Study on ChatGPT, Midjourney, and Policy Changes. (2025). Sundara Advanced Research on Artificial Intelligence, 1(1), 20-27. https://journal.sundarapublishing.com/index.php/sundara/article/view/23