THE RELATIONSHIP BETWEEN COLLEGE STUDENTS’ EMPLOYABILITY AND DIGITAL LITERACY: ATTITUDE TOWARDS AI AS A MEDIATING VARIABLE
DOI:
https://doi.org/10.18623/rvd.v23.6117Palavras-chave:
Digital Literacy, AI Attitude, Employability, Chain Mediation, Discipline HeterogeneityResumo
Background: With the acceleration of digital transformation, enterprises are in urgent need of compound talents with both digital skills and AI application capabilities. Although existing studies have confirmed that digital literacy is a core dimension of employability, the mediating mechanism of AI attitude (cognition/emotion/behavior) between the two has not been clarified, especially the lack of empirical tests for college students. Objective: To reveal the chain mediating role of AI attitude between digital literacy and employability, and to explore the moderating effect of subject background (liberal arts/science), so as to provide a theoretical basis for talent training in colleges and universities. Methods: A questionnaire survey was conducted on 1024 undergraduates from 10 universities across the country using stratified cluster sampling. Based on the scale data of digital literacy (4 dimensions), AI attitude (3 dimensions) and employability (4 dimensions), the mediating path was tested by structural equation modeling (SEM) and Bootstrap method. Results: Digital literacy significantly and positively predicted employability (β=0.45, p<0.001), among which human-computer collaboration ability contributed the most (β=0.28); AI attitude played a partial mediating role (indirect effect value 0.18, accounting for 40%), showing a chain path of "cognition→emotion→behavior"; the contribution rate of the emotional attitude path of liberal arts students (58%) was significantly higher than that of science and engineering (32%), highlighting the heterogeneity of disciplines. Conclusion: For the first time, the three-dimensional mediating mechanism of AI attitude between digital literacy and employability was empirically verified, providing theoretical support for the design of "literacy-attitude-ability" integrated courses by discipline in colleges and universities (such as adding AI ethics debates to liberal arts and strengthening project practice in science and engineering), helping to break the bottleneck of talent training in digital transformation.
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