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ZHOU Wei-xu. Realistic Pitfalls and its Response Paths of Artificial Intelligence Technology-Driven Educational Evaluation of Ideological and Political CoursesJ. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2025, 27(6): 122-128. DOI: 10.14071/j.1008-8105(2025)-3038
Citation: ZHOU Wei-xu. Realistic Pitfalls and its Response Paths of Artificial Intelligence Technology-Driven Educational Evaluation of Ideological and Political CoursesJ. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2025, 27(6): 122-128. DOI: 10.14071/j.1008-8105(2025)-3038

Realistic Pitfalls and its Response Paths of Artificial Intelligence Technology-Driven Educational Evaluation of Ideological and Political Courses

  • Against the backdrop of rapid advancements in digital and intelligent technologies, the evaluation system for ideological and political courses is undergoing profound deconstruction. While artificial intelligence demonstrates significant advantages in this field, its practical application conceals numerous challenges, including ecological ethical issues concerning teacher-student relationships, insufficient explainability of evaluation mechanisms, and the risk of "deceptive value alignment". Consequently, the education sector must steadfastly uphold the ethical agency of teachers within the evaluation framework for ideological and political courses. Concurrently, algorithmic design must be refined to enhance interpretability, while ensuring the routine implementation of value guidance and value alignment within educational assessment. This approach holds significant importance for advancing the reform of ideological and political courses, and elevating the scientificity and effectiveness of evaluation practices.
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