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Educational model reform addresses interdisciplinary talent needs in Python programming courses, indicating improved learning outcomes.
Against the deep integration of new engineering and artificial intelligence, traditional Python courses have difficulty meeting the needs of cultivating interdisciplinary talents in terms of content timeliness, practical coupling degree, and evaluation diversity. This paper, based on the project funded by the National Association of Computer Basic Education in Higher Education Institutions, constructs and implements a reform framework of the 'Three Dimensions, Three Layers, Three Cycles' educational model: ① Content dimension — integrating syntax foundation, data processing, machine learning, deep learning, and ethical security into 'Basic-Technology-Application' three-stage modules; ② Method dimension — hybrid teaching of 'micro-projects + major challenges' online and offline; ③ Evaluation dimension — dynamic evaluation with a five-dimensional radar chart of knowledge, skills, projects, innovation, and ethics. The study further discusses the tension between the speed of technological iteration and course stability, the convenience of tools and thinking training, and standardized evaluation and personalized development, and proposes balancing strategies.
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Wang Qingsha (2025) studied this question.
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