25 4.6 References
Evmenova, A. S., Borup, J., & Shin, J. K. (2024). Harnessing the power of generative AI to support ALL learners. TechTrends, 68(4), 820831. https://doi.org/10.1007/s11528-024-00966-x
Huang, K., Wang, Y., Zhu, F., Chen, X., & Xing, C. (2024). ChatGPT in Nutrition Science. In Beyond AI. Future of Business and Finance (pp. 159-186). Springer Nature. https://doi.org/10.1007/978-3-031-45282-6_6
Iqbal, M., Khan, N. U., & Imran, M. (2024). The role of artificial intelligence (AI) in transforming educational practices: Opportunities, challenges, and implications. Qlantic Journal of Social Sciences, 5(2), 348-359. https://doi.org/10.55737/qjss.349319430
Kehoe, F. (2023). Leveraging generative AI tools for enhanced lesson planning in initial teacher education at post primary. Irish Journal of Technology Enhanced Learning, 7(2),172-182. https://doi.org/10.22554/ijtel.v7i2.124
Langreo, L. (2023, September 18). Beyond ChatGPT: The Other AI Tools Teachers Are Using; A guide to other generative AI tools gaining popularity in the classroom. Education Week, https://link.gale.com/apps/doc/A766127228/AONE?u=ko_acd_uoo&sid=bookmark-AONE&xid=4fa8e102
Office of Educational Technology. (2023, May). Artificial Intelligence and the Future of Teaching and Learning Insights and Recommendations. U.S. Department of Education. https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf
Yang, S., & Appleget, C. (2024). An exploration of preservice teachers’ perceptions of generative AI: Applying the technological acceptance model. Journal of Digital Learning in Teacher Education, 40(3), 159-172. https://doi.org/10.1080/21532974.2024.2367573
Yin, H., Wang, C., & Liu, Z. (2024). Unleashing pre-service language teachers’ productivity with generative AI: Emotions, appraisal and coping strategies. Computers in Human Behavior, 161(108417). https://doi.org/10.1016/j.chb.2024.108417