AI-Driven Reform of General Elective Courses: The Case of Hands-On Data Analysis with Python

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This framework improves data analysis skills in vocational colleges, suggesting AI integration may enhance learning outcomes.

AI integration improved student engagement and performance in data analysis courses, addressing competency gaps.
The framework includes a dual-track curriculum, covering both Python programming and advanced electives like machine learning.
A three-phase learning strategy—pre-class, in-class, and post-class AI-assisted review—enhances instructional quality.
The approach may enable more effective individualized instruction while addressing ethical concerns around AI usage.

Zhang et al. (2025) studied this question.

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