Libraly Journal

Libraly Journal ›› 2025, Vol. 44 ›› Issue (407): 41-55.

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Research on the Attitude and Behavioral Perception of College Information Resource Management Teachers towards the Use of Generative AI: Based on Latent Profile Analysis

Shi Dian1, Zhou Yan2, Fan Xinxin2, Chu Jiewang2 (1 School of Archiving and Cultural Heritage, University of Science and Technology of China; 2 Management School of Anhui University)   

  • Online:2025-03-15 Published:2025-03-17
  • About author:Shi Dian1, Zhou Yan2, Fan Xinxin2, Chu Jiewang2 (1 School of Archiving and Cultural Heritage, University of Science and Technology of China; 2 Management School of Anhui University)

Abstract: The research explores the heterogeneity of attitudes and behaviors of teachers in the field of information resource management in universities towards Generative AI tools, with the aim of identifying potential categories that could promote the broader application of these tools in higher education and research. Based on the technology acceptance model, planned behavior theory, and social AI cognition, a perception model is developed to assess attitude and behavior towards the use of Generative AI tools. Data is collected through questionnaires, and the latent profile analysis method is used to identify categories of teacher perceptions. The influence of demographic factors on these potential categories is also explored. The findings reveal three potential categories: high-perception, positive adoption users; limited-perception, strategic exploration users; and low-perception low-trust users. There is a significant difference in the proportion of teachers in each category across universities, with both homogeneity within the categories and heterogeneity between categories. These categories have the possibility of mutual transformation. Gender, age, and disciplinary background are key influencing factors. The differences stem from psychological attitudes towards technological innovation and responses to the social environment. Based on these insights, targeted strategies can be developed to promote the wider and deeper application of Generative AI tools in universities.

Key words: Teacher of information resource management, Generative AI tools, GAI, Latent profile analysis, Attitude and behavioral perception