AI technology is becoming increasingly widespread in today's education field, especially in educational assessment. The gradual involvement of AI in the educational assessment process has brought about a revolutionary change in the traditional education model, and the impact on teachers when faced with ethical decision-making has become increasingly significant. Through a systematic literature review and analysis, although AI technology has advantages in enhancing assessment efficiency and accuracy, it may also weaken teachers' autonomy and ethical judgment in decision-making. AI involvement may be biased, further exacerbating the complexity of teachers' ethical decision-making. The paper concludes with suggestions on how to enhance teachers' ethical decision-making ability with the assistance of AI and provides directions for future research.

Linmin Lei. The Impact of Artificial Intelligence on Teachers' Ethical Decision-Making in Educational Assessment. International Journal of New Developments in Education (2024), Vol. 6, Issue 11: 17-24. https://doi.org/10.25236/IJNDE.2024.061104.

[1] Sun L, Zhou L. Research on the Subjective Risks and Avoidance of Generative Artificial Intelligence Education——An Analysis Based on Generative Philosophy[J]. Modern education technology, 2024, 34(8): 13-22.

[2] Wang Y, Fang S, Liu C. Classification Framework for Ethical Ｒisk of Educational Artificial Intelligence From the Perspective of Risk Society[J]. Modern distance education, 2024(3): 28-37.

[3] Gu M. Educational Reform and Innovation in the Era of “AI+”——Mr. Gu Mingyuan’s Dialogue with iFlytek Educational Technology Institute[J]. Modern education technology, 2024, 34(8): 5-12.

[4] Lan G, Du S, Xiao Q, et al. Key Points and Reflections on the Report of Shaping the Future of Learning: The Role of AI in Education 4.0[J]. Open Education Research, 2024, 30(4): 37-45.

[5] Qi Y, Zhong H. Technology, System and Ideology: the  Evolutionary Logic of Generative Artificial Intelligencein Education[J]. Research on Electrochemical Education, 2024, 45(8): 28-34.

[6] Zehner F, Hahnel C. Artificial intelligence on the advance to enhance educational assessment: Scientific clickbait or genuine gamechanger?[J]. Journal of computer assisted learning, 2023, 39(3): 695-702.

[7] Pearce J, Chiavaroli N. Rethinking assessment in response to generative artificial intelligence[J]. MEDICAL EDUCATION, 2023, 57(10): 889-891.

[8] Gardner J, O’Leary M, Yuan L. Artificial intelligence in educational assessment: “Breakthrough? Or buncombe and ballyhoo?”[J]. Journal of computer assisted learning, 2021, 37(5): 1207-1216.

[9] Zheng Y, Wang Y, Yang S. The Value, Challenges, and Paths of Artificial Intelligence Empowering Education Evaluation[J]. Open Education Research, 2024, 30(4): 4-10.

[10] Liu J, Qiu L. Risk Generation of Generative Artificial Intelligence Embedded in Educational Applications and Its Regulation[J]. Modern Distance Education, 2024(4): 12-19.

[11] Ramachandran V, Jairath N, Cheraghlou S, et al. Revolutionizing dermatology residency: artificial intelligence for knowledge and clinical milestones assessment[J]. Clinical And Experimental Dermatology, 2023, 49(7): 732-733.

[12] Shyr W-J, Yang F-C, Liu P-W, et al. Development of assessment indicators for measuring the student learning effects of artificial intelligence-based robot design[J]. Computer Applications In Engineering Education, 2019, 27(4): 863-868.