中国人文社会科学核心期刊Journal of East China Normal University(Educationa ›› 2026, Vol. 44 ›› Issue (6): 78-91.doi: 10.16382/j.cnki.1000-5560.2026.06.005
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Xuemei Xia
Online:2026-06-01
Published:2026-05-27
Xuemei Xia. Framework and Field Analysis of Generative Artificial Intelligence Use in Project-Based Learning Classrooms[J]. Journal of East China Normal University(Educationa, 2026, 44(6): 78-91.
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| 提问类型 | 界定 | 样例 |
| 寻求灵感QI | 要求AI提供新的思路与灵感 | 在救助溺水孩子的过程中,可以加入哪些情节? |
| 优化成果QP | 要求AI根据一定的标准提出成果优化的建议、 方向与方法 | 我们想把这个成果变得更坚固一些, 也需要更轻便。该怎么做? |
| 解释未知QU | 要求AI对某个理论、现象、数据等进行具体的解释 | 哪些植物或微生物可以解决那些易臭难闻的气味? |
| 协商验证QV | 和AI协商确认自己有疑惑的地方,希望获得对方的支持或证据 | 是不是因为夕阳下的颜色要比白天和 月夜的颜色更鲜艳? |
| 提出质疑QQ | 对AI的建议提出质疑,要求AI进一步进行说明 | 可是它的精神品质是舍己为人, 而你给的建议不是这个方向。 |
| 创设情境QC | 要求AI创设特定的情境或要求AI模拟情境中的角色的行为或心理 | AI如果是你,你那时的心情是怎样的? |
| 互动练习QI | 根据任务要求与AI进行个性化的交流互动,以练习和巩固所习得的内容 | S: Our trip is about a modern trip. AI: That sounds exciting! Where is your first destination on this modern trip? |
| 程良宏, 白珊. (2023). 引向深度学习的课堂理答及其实践策略. 课程·教材·教法, 43 (04), 67- 74. | |
| 国务院. (2017). 新一代人工智能发展规划(国发〔2017〕35号). 中华人民共和国中央人民政府网: https://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm. | |
| 教育部办公厅. (2024). 关于加强中小学人工智能教育的通知(教基厅函〔2024〕32号).教育部办公厅文件, 2024-11-18. | |
| 教育部基础教育教学指导委员会. (2025a). 中小学人工智能通识教育指南(2025年版).中华人民共和国中央人民政府网: https://www.gov.cn/lianbo/bumen/202505/content_7023810.htm. | |
| 教育部基础教育教学指导委员会. (2025b). 中小学生成式人工智能使用指南(2025年版).中华人民共和国中央人民政府网: https://www.gov.cn/lianbo/bumen/202505/content_7023810.htm. | |
| 教育部. (2022). 义务教育课程方案(2022年版). 北京: 北京师范大学出版社. | |
| 夏雪梅. (2025). AI时代的学科项目化学习: 设计与实施40问. 北京: 教育科学出版社. | |
| Celik, Ismail & Dindar, Muhterem & Muukkonen, Hanni & Järvelä, Sanna. (2022). The Promises and Challenges of Artificial Intelligence for Teachers: a Systematic Review of Research. TechTrends. 66. 3. 10.1007/s11528-022-00715-y. | |
| Chen, T., Kornblith, S., Norouzi, M., & Hinton, G. (2020). A simple framework for contrastive learning of visual representations. arXiv:2002.05709. | |
| Dai, Y., Xiao, J., Huang, Y., Zhai, X., Wai, F., & Zhang, M. (2025). How Generative AI Enables an Online Project-Based Learning Platform: An Applied Study of Learning Behavior Analysis in Undergraduate Students. Applied Sciences, 15 (5), 2369. | |
|
Darvishi, A., Khosravi, H., Sadiq, S., Gašević, D., & Siemens, G. (2024). Impact of AI assistance on student agency. Computers & Education, 210, 104967.
doi: 10.1016/j.compedu.2023.104967 |
|
| Edelson D C, Gordin D N, Pea R D. (1999). Addressing the Challenges of Inquiry-Based Learning through Technology and Curriculum Design. The Journal of the Learning Sciences, 8 (3-4), 391- 450. | |
| Engeström, Y. (1987). Learning by expanding: An activity-theoretical approach to developmental research. Orienta-Konsultit. | |
| Favero, L., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2024). Enhancing critical thinking in education by means of a Socratic chatbot. AIEER @ ECAI 2024 (arXiv: 2409.05511). | |
| Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50 (5), 2572- 2593. | |
| Hmelo-Silver, C. E., Duncan, R. G., & Chinn, C. A. (2007). Scaffolding and Achievement in Problem-based and Inquiry Learning: A response to Kirschner, Sweller, and Clark. Educational Psychologist, 42 (2), 99- 107. | |
|
Janson, A. (2023). How to leverage anthropomorphism for chatbot service interfaces: The interplay of communication style and personification. Computers in Human Behavior, 149, 107954.
doi: 10.1016/j.chb.2023.107954 |
|
| Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., et al. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. | |
|
Kestin, G., Miller, K., Klales, A., Milbourne, T., & Ponti, G. (2025). AI tutoring outperforms in-class active learning: An RCT introducing a novel research-based design in an authentic educational setting. Scientific Reports, 15, 17458.
doi: 10.1038/s41598-025-97652-6 |
|
| Kshetri, N. (2023). "The Future of Education: Generative Artificial Intelligence’s Collaborative Role With Teachers, " in IT Professional, vol. 25, no. 6, pp. 8-12, Nov. -Dec., doi: 10.1109/MITP.2023.3333070. | |
| Kusam, V. A. (2024) . Generative-AI Assisted Feedback Provisioning for Project-based Learning in CS Education. A dissertation submitted in partial fulfillment of the requirements for the degree of Master of Science (Computer and Information Science) in the University of Michigan–Dearborn. | |
| Larmer, J., Mergendoller, J., & Boss, S. (2015). Setting the standard for project-based learning. Alexandria, VA: ASCD. | |
| Lawrence, L. E. M., Echeverría, V., Martínez-Maldonado, R., Shibani, A., & Buckingham Shum, S. (2024). How teachers conceptualise shared control with an AI co-orchestration tool: A multiyear teacher-centred design process. British Journal of Educational Technology, 55(3). https://doi.org/10.1111/bjet.13372. | |
| Marx R W, Blumenfeld P C, Krajcik J S, et al. (1997). Enacting Project-Based Science: Challenges for Practice and Policy. The Elementary School Journal, 97 (4), 341- 358. | |
| Meyer, J., Jansen, T., Schiller, R., Liebenow, L. W., Steinbach, M., Horbach, A., & Fleckenstein, J. (2024). Using LLMs to bring evidence-based feedback into the classroom: AI-generated feedback increases secondary students’ text revision, motivation, and positive emotions. Computers & Education: Artificial Intelligence, 6, 100199. | |
| Miller, A. I. (2010). The Role of Artificial Intelligence in Solving Global Problems. Journal of Systemics, Cybernetics and Informatics, 8(2), 18-23. | |
| Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108 (6), 1017- 1054. | |
| Mishra, P., Warr, M., & Islam, R. (2023). TPACK in the age of ChatGPT and Generative AI. Journal of Digital Learning in Teacher Education. https://doi.org/10.1080/21532974.2023.2247480. | |
| Moundridou M, Matzakos N, Doukakis S. (2024). Generative AI tools as educators’assistants: Designing and implementing inquiry-based lesson plans. Computers and Education: Artificial Intelligence, 7, 100277. | |
| Muller, Michael & Weisz, Justin. (2022). Extending a Human-AI Collaboration Framework with Dynamism and Sociality. 1-12. 10.1145/3533406.3533407. | |
| OECD. (2018) . The Future of Education and Skills: Education 2030. Position paper, http://www.oecd.org/education/2030/E2030%20Position%20Paper%20(05.04.2018).pdf. | |
| OECD. (2023). Generative AI in the classroom: From hype to reality?. EDU/EDPC (2023), 11. | |
| Pianta R, La K M, Hamre B K. (2008). Classroom assessment scoring system manual: K-3. Baltimore, MD: Brookes Publishing. | |
| Puentedura, R. (2013). SAMR: A contextualized framework for integrating technology into teaching and learning. Retrieved from http://www. hippasus.com/rrpweblog/archives/2013/04/04/SAMR_A_Research_Classification_of_Multi-Levels_of_Technology_Integration.pdf. | |
| Puentedura, R. (2014a). Building transformation: An introduction to the SAMR model [Blog post]. Retrieved from http://www.hippasus.com/rrpweblog/archives/2014/08/22/Building Trans formation AnInt roductionToSAMR.pdf. | |
| Puentedura, R. (2014b). Learning, technology, and the SAMR model: Goals, processes, and practice [Blog post]. Retrieved from http://www.hippasus.com/rrpweblog/archives/2014/06/29/LearningTechnologySAMRModel.pdf. | |
| RAND Corporation. (2024). Using artificial intelligence tools in K–12 classrooms (RR-A956-21). https://www.rand.org/. | |
| Reeves, B., & Nass, C. (1996). The media equation: How people treat computers, television, and new media like real people and places. Cambridge University Press/CSLI. | |
| Sun, J., Zhang, Z., Nie, L., & Hong, L. (2025). From Inquiry to Creation: The Impact of Generative AI on Primary Science Education. In Proceedings of ITEI 2025. | |
| U. S. Department of Education, Office of Educational Technology. (2023). Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations. | |
| UNESCO. (2023). Guidance for generative AI in education and research. Paris: United Nations Educational, Scientific and Cultural Organization. | |
| Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press. | |
| Wells G, Arauz R M. (2006). Dialogue in the Classroom. Journal of the Learning Sciences, 15 (3), 379- 428. | |
| Woods, D. R. (2014). Problem-oriented learning, problem-based learning, problem-based synthesis, process oriented guided inquiry learning, peer-led team learning, model-eliciting activities, and project-based learning: Which is best for you?. Industrial and Engineering Chemistry Research, 53(13), 5337–5354. | |
| Zheng, C., Yuan, K., Guo, B., Mogavi, R. H., Peng, Z., & Ma, S., et al. (2024). Charting the future of ai in project-based learning: a co-design exploration with students. arXiv preprint arXiv: 2401.14915. |
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