AI-enhanced course set spanning compulsory, elective, and practice categories¶

Design · All designs
Evidence · no claims cited

Description¶

Table 1 of the article catalogs representative reformed courses. As printed, "the integration of AI into the curriculum is demonstrated through a selection of representative courses that highlight the breadth of the reform." Compulsory courses such as Network Security Technology introduce AI-driven intrusion detection with machine learning models for abnormal network traffic; electives such as Artificial Intelligence and Big Data Analysis introduce Python, TensorFlow, and big data frameworks; practice courses such as Enterprise Software Development Practice use AI-powered automated testing and code quality assessment tools.

Design Implications¶

Context¶

Requirements¶

Courses embed AI tools, industry datasets, and case studies into both theoretical and practical instruction

Constraints¶

Course examples are drawn from one college's computer-related programs

Target Learners¶

undergraduate computer-related majors

Learning Goals¶

applied AI skills in networking, security, big data, and software development

Claims¶

AI-driven talent cultivation reform framework with five interconnected components

Examples¶

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Key Sources¶

Wang J and Li P (2026). AI-driven educational reform: enhancing talent cultivation in computer-related majors for the digital era. Front. Psychol. 17:1790916. https://doi.org/10.3389/fpsyg.2026.1790916

Page metadata

Field	Value
`type`	`design`
`id`	`ai-enhanced-course-set-computer-majors`
`title`	`AI-enhanced course set spanning compulsory, elective, and practice categories`
`description`	`Table 1 of the article catalogs representative reformed courses.`
`status`	`review`
`generated`	by `process:settle-candidates` on `2026-10-10`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `wang-j-and-li-p-2026`

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