|
[1]
|
北京大学数学系前代数小组. 高等代数[M]. 第5版. 北京: 高等教育出版社, 2019.
|
|
[2]
|
祝智庭, 胡姣. 教育数字化转型的本质探析与研究展望[J]. 中国电化教育, 2022(4): 1-8, 25.
|
|
[3]
|
教育部关于印发《高等学校人工智能创新行动计划》的通知[EB/OL]. https://www.moe.gov.cn/srcsite/A16/s7062/201804/t20180410_332722.html, 2025-06-01.
|
|
[4]
|
Piaget, J. (1972) The Principles of Genetic Epistemology. Routledge.
|
|
[5]
|
Sweller, J., van Merriënboer, J.J.G. and Paas, F. (2019) Cognitive Architecture and Instructional Design: 20 Years Later. Educational Psychology Review, 31, 261-292. https://doi.org/10.1007/s10648-019-09465-5
|
|
[6]
|
张奠宙, 宋乃庆. 数学教育概论[M]. 第4版. 北京: 高等教育出版社, 2021.
|
|
[7]
|
曹一鸣, 冯启磊. 数学教育评价新论[M]. 北京: 北京师范大学出版社, 2020.
|
|
[8]
|
Dubinsky, E. and Mcdonald, M.A. (2001) APOS: A Constructivist Theory of Learning in Undergraduate Mathematics Education Research. In: Holton, D., Artigue, M., Kirchgräber, U., Hillel, J., Niss, M. and Schoenfeld, A., Eds., The Teaching and Learning of Mathematics at University Level, Kluwer Academic Publishers, 275-282. https://doi.org/10.1007/0-306-47231-7_25
|
|
[9]
|
余胜泉. 教育数字化转型的关键路径[J]. 华东师范大学学报(教育科学版), 2023, 41(3): 62-71.
|
|
[10]
|
李艳燕, 张香玲, 李新, 等. 面向智慧教育的学科知识图谱构建与创新应用[J]. 电化教育研究, 2019, 40(8): 60-69.
|
|
[11]
|
Chen, P., Lu, Y., Zheng, V.W. and Pian, Y. (2018) Prerequisite-Driven Deep Knowledge Tracing. 2018 IEEE International Conference on Data Mining (ICDM), Singapore, 17-20 November 2018, 39-48. https://doi.org/10.1109/icdm.2018.00019
|
|
[12]
|
Tall, D. (2013) How Humans Learn to Think Mathematically: Exploring the Three Worlds of Mathematics. Cambridge University Press. https://doi.org/10.1017/cbo9781139565202
|
|
[13]
|
Siemens, G. and Baker, R.S.J.D. (2012) Learning Analytics and Educational Data Mining: Towards Communication and Collaboration. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, Vancouver, 29 April-2 May 2012, 252-254. https://doi.org/10.1145/2330601.2330661
|
|
[14]
|
黄荣怀, 周伟, 杜静, 等. 面向智能教育的三个基本计算问题[J]. 开放教育研究, 2019, 25(5): 11-22.
|
|
[15]
|
张萍, 张文硕. 翻转课堂的理念、演变与有效性研究[J]. 教育学报, 2017, 13(1): 46-55.
|
|
[16]
|
Ainsworth, S. (2006) Deft: A Conceptual Framework for Considering Learning with Multiple Representations. Learning and Instruction, 16, 183-198. https://doi.org/10.1016/j.learninstruc.2006.03.001
|
|
[17]
|
Novak, J.D. (2010) Learning, Creating, and Using Knowledge: Concept Maps as Facilitative Tools in Schools and Corporations. 2nd Edition, Routledge.
|
|
[18]
|
Hattie, J. (2023) Visible Learning: The Sequel. Routledge. https://doi.org/10.4324/9781003380542
|
|
[19]
|
钟志贤. 信息化教学模式——理论建构与实践例说[M]. 北京: 教育科学出版社, 2017.
|
|
[20]
|
王一岩, 郑永和. 智能教育产品研发的问题、成因与应对策略[J]. 中国远程教育, 2024, 44(2): 88-96.
|
|
[21]
|
Luckin, R., Holmes, W., Griffiths, M., et al. (2016) Intelligence Unleashed: An Argument for AI in Education. Pearson.
|
|
[22]
|
Frieder, S., Pinchetti, L., Chevalier, C., Griffiths, R., Salvatori, T., Lukasiewicz, T., et al. (2023) Mathematical Capabilities of ChatGPT. Advances in Neural Information Processing Systems 36, New Orleans, 10-16 December 2023, 27699-27744. https://doi.org/10.52202/075280-1205
|
|
[23]
|
Selwyn, N. (2019) Should Robots Replace Teachers? AI and the Future of Education. Polity Press.
|
|
[24]
|
徐宗本, 都琳, 黄廷祝. 人工智能时代的科学教育需要新定位和新范式[J]. 科学与社会, 2025, 15(1): 1-6.
|
|
[25]
|
焦建利, 陈婷. 大型语言模型赋能英语教学: 四个场景[J]. 外语电化教学, 2023(2): 12-17.
|
|
[26]
|
杨宗凯, 吴砥, 陈敏. 教育信息化2.0: 新时代信息技术变革教育的关键历史跃迁[J]. 教育研究, 2018, 39(4): 16-22.
|
|
[27]
|
顾小清, 李世瑾. 人工智能促进未来教育发展: 本质内涵与应然路向[J]. 华东师范大学学报(教育科学版), 2022, 40(9): 1-9.
|