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ORIGINAL RESEARCH article
Front. Artif. Intell.
Sec. AI for Human Learning and Behavior Change
Volume 8 - 2025 | doi: 10.3389/frai.2025.1544677
This article is part of the Research Topic Critical Approaches to the Theory and Practice of AI Literacy View all articles
Quantifying AI Professional Skills: Confounding Variables and Their Impact on Knowledge Innovation
Provisionally accepted- 1 Evergrande School of Management, Wuhan University of Science and Technology, Wuhan, China
- 2 Wuhan Technology and Business University, Wuhan, Hubei, China
In AI-enabled industrial innovation, professional skills have a profound impact on promoting digital transformation. Previous studies have overly focused on the professional skills themselves, lacking discussion on group dynamics and individual intrinsic motivation. This has led to the underperformance of professional skills in explaining and guiding industrial transformation. This study examines Wuhan Xiaoguishan Financial Industrial Park, selected for its innovation potential. Combining the Digital Bloom's Taxonomy model, the study employs the entropy weight method to evaluate the quantification of cognition in AI-driven knowledge innovation and uses the gradient descent method to analyze the relationships among professional skills, social capital, proactive personality, and cognitive quantification. The results indicate that under the influence of proactive personality and social capital, the overall impact of professional skills decreases, but the positive impact of hard skills on innovation becomes more prominent. This suggests that the influence of professional skills on innovation is not a one-way process, and significant confounding variables affect the expression of professional skills.
Keywords: professional skills, AI literacy, AI-driven Knowledge Innovation, Digital Literacy, digital transformation
Received: 13 Dec 2024; Accepted: 04 Mar 2025.
Copyright: © 2025 Jiang, Hu and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Wei-Zheng Jiang, Evergrande School of Management, Wuhan University of Science and Technology, Wuhan, China
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