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Good practice Imported

AI+X Micro-Major — Five East China Universities' Joint AI Credential Across Disciplines

China · Hangzhou · See the China profile · See the Hangzhou profile

Evidence: Descriptive / self-reported Top 70% 40/100 · Ask Evidence Copilot about this practice

Five East China universities (Zhejiang, Fudan, Nanjing, Shanghai Jiao Tong, USTC) jointly award an 'AI+X' micro-major launched March 2025. A 2025 mixed-methods study of the regional model linked teaching resources and learning communities to student-reported outcomes.

70.3% beta=0.522, p<0.001
Variance in theoretical-practical learning explained by teaching resources
64.9% beta=0.619, p<0.001
Variance in technical competencies explained by learning communities

Details

Maturity
Pilot
Promoter
Zhejiang University (East China Five-University Consortium)
Period
Since March 2025
Keywords
higher education, AI literacy, interdisciplinary curriculum, micro-credentials

Context

In March 2025, five East China research universities -- Zhejiang University (lead), Fudan, Nanjing, Shanghai Jiao Tong and USTC -- jointly launched the 'AI+X' micro-major, a stackable credential open to students from any discipline, combining programming, algorithms and AI fundamentals with hackathons and industry-co-developed courses, backed by Zhejiang University's 'Zhihai' platform and 'ZJU Mentor' AI agent tool.

Results

A 2025 mixed-methods study (357 articles screened to 44 eligible, plus a survey of 100 students across six East China AI+X programmes) found teaching resources (beta=0.522, p<0.001) and learning communities (beta=0.619, p<0.001) significantly predicted student-reported outcomes, explaining 70.3% and 64.9% of variance in theoretical-practical learning and technical competencies respectively.

Conclusions

The evidence is a single cross-sectional, self-reported survey rather than a controlled or longitudinal study. The stated equity goal of extending access to central and western China is an intention, not yet backed by published participation data, and no public information was found on data-governance processes for the AI platforms used by students.

Implementation
Indicative cost
Medium (€50k–€500k)
Time to results
Medium (1–3 years)
Staffing & skills
Joint faculty across five universities, Zhejiang University platform development team

Conditions for success

  • Cross-institutional joint credential recognised by five universities
  • Dedicated AI education platform and mentoring tool
  • Industry-co-developed course content

Common failure modes

  • Self-reported cross-sectional survey only, no controlled or longitudinal design
  • No public data-governance information for the AI platforms used

Commonly funded by

National / regional programmes

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

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