References
[1]. Wu, D., Li, H., & Chen, X. (2023). An analysis of the educational application impacts of general-purpose AI large models.Open Education Research, 29(2), 19–25, 45. https: //doi.org/10.13966/j.cnki.kfjyyj.2023.02.003
[2]. Lu, Y., Yu, J., Chen, P., & Li, M. (2023). Educational applications and prospects of generative AI: A case study of the ChatGPT system.China Distance Education, 43(4), 24–31, 51. https: //doi.org/10.13541/j.cnki.chinade.20230301.001
[3]. Wu, Y. (2023). A preliminary discussion on programming course instructional design in vocational colleges based on AIGC: Taking software technology programming training courses as an example.Frontiers of Educational Research: Chinese and English Edition, 13(3), 7–11.
[4]. Zhang, X., Gao, Y., Cao, S., Tao, J., & He, X. (2024). Exploring the application of AIGC in biochemistry and molecular biology laboratory teaching.Basic Medical Education, 26(5), 406–411. https: //doi.org/10.13754/j.issn2095-1450.2024.05.12
[5]. Li, Y., & Zheng, Y. (2023). Educational applications of generative AI.People’s Forum, (23), 69–72.
[6]. Shang, Z., & Yan, Y. (2023). ChatGPT educational applications and the resulting transformations and ethical challenges.Journal of Northeast Normal University (Philosophy and Social Sciences Edition, (5), 44–54. https: //doi.org/10.16164/j.cnki.22-1062/c.2023.05.006
[7]. Xie, Y., Chen, F., & Zhong, Z. (2015). Research on micro-course design patterns based on problem-solving.China Distance Education, (5), 48–54, 80. https: //doi.org/10.13541/j.cnki.chinade.2015.05.008
[8]. Fredricks, J. A., Wang, M.-T., Linn, J. S., Hofkens, T. L., Sung, H., Parr, A., & Allerton, J. (2016). Using qualitative methods to develop a survey measure of math and science engagement.Learning and Instruction, 43, 5–15.