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Generation pathways of innovation capability among engineering graduate students at Chinese Double First-Class
Lingli Zhang1, Xuyan Wang1, Han Wang1
1Institute of China Innovation and Entrepreneurship Education, Hangzhou Normal University (Key Research Center of Philosophy and Social Sciences of Zhejiang Province), 2318 Yuhangtang Road, Yuhang District, Hangzhou, Zhejiang Province, 311121, China.
Innovation capability in graduate engineering students emerges from various combinations of teaching, support, and environment, not single factors. This research explores pathways to cultivate high-level innovative talent in Chinese universities.
Area of Science:
- Educational Psychology
- Higher Education Studies
- Innovation Management
Background:
- Graduate-level innovation capability is crucial for higher education outcomes and national development.
- China's prominent role in global engineering education necessitates understanding innovation development in graduate students.
- Existing research often overlooks configurational mechanisms, favoring variable-centered approaches.
Purpose of the Study:
- To investigate multiple pathways to high innovation capability among engineering graduate students in China.
- To apply the Technology-Organization-Environment (TOE) framework and fuzzy-set qualitative comparative analysis (fsQCA) to identify these pathways.
- To understand how pedagogical practices, organizational support, and environmental conditions interact to foster innovation.
Main Methods:
- Utilized fuzzy-set qualitative comparative analysis (fsQCA) on survey data from 544 engineering graduate students.
- Employed the Technology-Organization-Environment (TOE) framework to analyze influencing factors.
- Identified specific combinations of conditions leading to high innovation capability.
Main Results:
- Identified four distinct configurational pathways to high innovation capability: environment-organization, technology-organization, technology-environment-organization, and environment-partial technology or organization models.
- Demonstrated that innovation capability is a result of synergistic combinations of conditions, not isolated factors.
- Found that these pathways activate psychological factors like student engagement, innovation self-efficacy, and learning motivation.
Conclusions:
- Innovation capability in graduate engineering students is context-dependent and arises from specific configurations of technology, organization, and environment.
- The study extends the TOE framework to graduate engineering education, offering a nuanced understanding of innovation development.
- Findings highlight the importance of institutional and pedagogical contexts in activating psychological mechanisms essential for student innovation.
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