专业认证和成果导向教育理念下课程目标达成情况评价机制研究——以人工智能专业课程为例

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Abstract Against the backdrop of contemporary engineering education reform, establishing an effective evaluation mechanism for course objective achievement is crucial for ensuring teaching quality and optimizing student learning outcomes. This study focuses on engineering education accreditation based on the outcome-based education (OBE) concept, proposing and implementing an evaluation mechanism tailored for the achievement of objectives in the Machine Learning course within the Artificial Intelligence discipline. The paper discusses in detail how this evalua-tion mechanism enhances the synchronization of course content with the latest industry develop-ments through a closed-loop feedback system, clear evaluation indicators, and diversified teaching methods. Additionally, it demonstrates how the mechanism effectively improves students' com-prehensive abilities and learning outcomes. By collaborating with industry experts, this study en-sures the close alignment of teaching objectives with professional practice and the real-time up-dating and optimization of teaching methods. Results indicate that this evaluation mechanism sig-nificantly promotes the continuous improvement of teaching quality and marked progress in stu-dent learning outcomes, providing an innovative strategy for quality assurance in Artificial Intel-ligence education.

Key words： professional accreditation outcome-based education (OBE) objective achievement evaluation mechanism machine learning

Received: 27 December 2024

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	Articles by authors
	HU Zhuhua
	ZHAO Yaochi
	WANG Xianpeng
	YUE Chunyi
	QU Hangzhou

Cite this article:

HU Zhuhua,ZHAO Yaochi,WANG Xianpeng等. Research on the evaluation mechanism of course objective achievement under professional accreditation and outcome-based education concept: a case study of artificial intelligence courses[J]. Electrical Engineering, 2025, 26(9): 69-78.

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https://dqjs.cesmedia.cn/EN/Y2025/V26/I9/69

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