大语言模型在教育教学过程中的伦理道德挑战与应对策略
Ethical and Moral Challenges and Response Strategies of Large Language Models in the Educational Teaching Process
DOI: 10.12677/ces.2025.135332, PDF,    科研立项经费支持
作者: 杨文彬:西安邮电大学理学院,陕西 西安
关键词: 大语言模型教育教学道德挑战伦理问题改进对策Large Language Models Educational Teaching Ethical Challenges Moral Issues Improvement Measures
摘要: 大语言模型在教育领域的广泛应用推动了教学方式的革新,但也带来了许多道德与伦理挑战。本文分析了大语言模型在教育教学中存在的数据隐私、算法偏见和学术不诚信等问题,探讨了建立伦理框架与监管机制的重要性,并提出了一系列改进措施以确保其安全、合理地应用。通过研究这些问题与对策,本文为推动教育技术的合规性和伦理性提供了理论依据和实践指导。
Abstract: The widespread application of large language models in the field of education has driven innovation in teaching methods, but it has also brought about numerous ethical and moral challenges. This paper analyzes issues such as data privacy, algorithmic bias, and academic dishonesty present in the use of large language models in education. It explores the importance of establishing ethical frameworks and regulatory mechanisms and proposes a series of improvements to ensure their safe and reasonable application. By studying these issues and countermeasures, this paper provides theoretical foundations and practical guidance for promoting the compliance and ethics of educational technology.
文章引用:杨文彬. 大语言模型在教育教学过程中的伦理道德挑战与应对策略[J]. 创新教育研究, 2025, 13(5): 244-250. https://doi.org/10.12677/ces.2025.135332

参考文献

[1] Dreyer, J. (2025) China Made Waves with Deepseek, but Its Real Ambition Is AI-Driven Industrial Innovation. Nature, 638, 609-611. [Google Scholar] [CrossRef] [PubMed]
[2] Uang, X., Zou, D., Cheng, G., et al. (2023) Trends, Research Issues and Applications of Artificial Intelligence in Language Education. Educational Technology & Society, 26, 112-131.
[3] 刘明, 吴忠明, 廖剑, 等. 大语言模型的教育应用: 原理、现状与挑战——从轻量级BERT到对话式ChatGPT [J]. 现代教育技术, 2023, 33(8): 19-28.
[4] Saaida, M.B.E. (2023) AI-Driven Transformations in Higher Education: Opportunities and Challenges. International Journal of Educational Research and Studies, 5, 29-36.
[5] 吴永和, 姜元昊, 陈圆圆, 等. 大语言模型支持的多智能体: 技术路径、教育应用与未来展望[J]. 开放教育研究, 2024, 30(5): 63-75.
[6] 王峰. 人工智能需要“灵魂”吗——由大语言模型引发的可能性及质疑[J]. 上海师范大学学报(哲学社会科学版), 2023, 52(2): 5-13.
[7] Fu, Y. and Weng, Z. (2024) Navigating the Ethical Terrain of AI in Education: A Systematic Review on Framing Responsible Human-Centered AI Practices. Computers and Education: Artificial Intelligence, 7, Article ID: 100306. [Google Scholar] [CrossRef
[8] Yan, L., Sha, L., Zhao, L., Li, Y., Martinez‐Maldonado, R., Chen, G., et al. (2023) Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review. British Journal of Educational Technology, 55, 90-112. [Google Scholar] [CrossRef
[9] Liu, Y., Han, T., Ma, S., Zhang, J., Yang, Y., Tian, J., et al. (2023) Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models. Meta-Radiology, 1, Article ID: 100017. [Google Scholar] [CrossRef
[10] Horzyk, A. (2023) Data Protection and Privacy: Risks and Solutions in the Contentious Era of AI-Driven Ad Tech. In: Luo, B., Cheng, L., Wu, Z.G., Li, H. and Li, C., Eds., Neural Information Processing, Springer, 352-363. [Google Scholar] [CrossRef
[11] Idowu, J.A., Koshiyama, A.S. and Treleaven, P. (2024) Investigating Algorithmic Bias in Student Progress Monitoring. Computers and Education: Artificial Intelligence, 7, Article ID: 100267. [Google Scholar] [CrossRef
[12] Chinta, S.V., Wang, Z., Yin, Z., et al. (2024) FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications. arXiv: 2407.18745.
[13] Fowler, D.S. (2023) AI in Higher Education: Academic Integrity, Harmony of Insights, and Recommendations. Journal of Ethics in Higher Education, No. 3, 127-143. [Google Scholar] [CrossRef
[14] Xie, Y., Wu, S. and Chakravarty, S. (2023) AI Meets AI: Artificial Intelligence and Academic Integrity—A Survey on Mitigating AI-Assisted Cheating in Computing Education. The 24th Annual Conference on Information Technology Education, Marietta, 11-14 October 2023, 79-83. [Google Scholar] [CrossRef
[15] Park, H.E. (2024) The Double‐edged Sword of Generative Artificial Intelligence in Digitalization: An Affordances and Constraints Perspective. Psychology & Marketing, 41, 2924-2941. [Google Scholar] [CrossRef
[16] Nguyen, A., Ngo, H.N., Hong, Y., Dang, B. and Nguyen, B.T. (2022) Ethical Principles for Artificial Intelligence in Education. Education and Information Technologies, 28, 4221-4241. [Google Scholar] [CrossRef] [PubMed]
[17] European Commission (2021) Proposal for a Regulation of The European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts, COM (2021) 206 Final.
[18] Schiff, D. (2021) Education for AI, Not AI for Education: The Role of Education and Ethics in National AI Policy Strategies. International Journal of Artificial Intelligence in Education, 32, 527-563. [Google Scholar] [CrossRef
[19] Radu, R. (2021) Steering the Governance of Artificial Intelligence: National Strategies in Perspective. Policy and Society, 40, 178-193. [Google Scholar] [CrossRef
[20] Kastania, N.P. (2024) Building Trust in AI Education: Addressing Transparency and Ensuring Trustworthiness. In: Kourkoulou, D., Tzirides, A.O., Cope, B. and Kalantzis, M., Eds., Trust and Inclusion in AI-Mediated Education, Springer, 73-90. [Google Scholar] [CrossRef
[21] Su, J., Ng, D.T.K. and Chu, S.K.W. (2023) Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities. Computers and Education: Artificial Intelligence, 4, Article ID: 100124. [Google Scholar] [CrossRef
[22] Kim, J. (2023) Leading Teachers’ Perspective on Teacher-AI Collaboration in Education. Education and Information Technologies, 29, 8693-8724. [Google Scholar] [CrossRef
[23] Ganguly, S. and Pandey, N. (2024) Deployment of AI Tools and Technologies on Academic Integrity and Research. Bangladesh Journal of Bioethics, 15, 28-32. [Google Scholar] [CrossRef
[24] Rane, N., Shirke, S., Choudhary, S.P. and Rane, J. (2024) Education Strategies for Promoting Academic Integrity in the Era of Artificial Intelligence and ChatGPT: Ethical Considerations, Challenges, Policies, and Future Directions. Journal of ELT Studies, 1, 36-59. [Google Scholar] [CrossRef
[25] Pratomo, A.B., Mokodenseho, S. and Aziz, A.M. (2023) Data Encryption and Anonymization Techniques for Enhanced Information System Security and Privacy. West Science Information System and Technology, 1, 1-9. [Google Scholar] [CrossRef
[26] Rizvi, S.S., Bolish, T.A. and Pfeffer, J.R. (2017) Security Evaluation of Cloud Service Providers Using Third Party Auditors. Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing, Cambridge, 22-23 March 2017, 1-6. [Google Scholar] [CrossRef
[27] Roshanaei, M., Olivares, H. and Lopez, R.R. (2023) Harnessing AI to Foster Equity in Education: Opportunities, Challenges, and Emerging Strategies. Journal of Intelligent Learning Systems and Applications, 15, 123-143. [Google Scholar] [CrossRef