Research on the Influence Mechanism of the Willingness 
to Apply Generative Artificial Intelligence in the Teaching of Higher Education Teachers

Yu Wang*; Lizhi Sun

doi:10.18686/neet.v2i5.4628

Research on the Influence Mechanism of the Willingness to Apply Generative Artificial Intelligence in the Teaching of Higher Education Teachers

Yu Wang*, Lizhi Sun

Abstract

This study aims to fill a gap in the literature by analyzing the influence mechanism of the willingness to apply generative artificial
intelligence in teaching of higher education teachers. The study revealed that the factors influencing college teachers intention to reply generative artificial intelligence technology are divided into two parts: teachers individual factors and teachers external factors. At the level of
individual teachers factors, teachers technology cognition is the fundamental influencing factor, and teachers emotional fulfillment, ability
and experience are the direct factors determining the application of generative AI in college teachers teaching. At the level of external factors,
the usability of generative AI is the fundamental influencing factor. This study provides a theoretical framework for promoting teacher technology application, summarizes the mechanism of different influencing factors and proposes relevant suggestions for teacher cognition level
and the usability of generative artificial intelligence.

Keywords

Higher education teachers; Teaching; Generative artificial intelligence; Application willingness; Influencing factors; ISM modeling

Full Text:

PDF

Included Database

References

[1] Jiao YQ. Large Model Media: The Intelligent Communication Revolution Triggered by ChatGPT and Its Social Impact. Journal of

Hainan University (Social Sciences Edition), 2024; https://doi.org/10.15886/j.cnki.hnus.202307.0067.

[2] Zhao X. A Brief Discussion on the Application of Artificial Intelligence in Teaching and Research Activities of Young Teachers in Universities. Science and Education Exchange, 2023; https://doi.org/10.16871/j.cnki.kjwh.2023.24.004.

[3] Wang Y, Zhang W. Factors Influencing the Adoption of Generative AI for Art Designing among Chinese Generation Z: A structural

equation modeling approach. IEEE Access, 2023; https://doi.org/10.1109/ACCESS.2023.3342055.

[4] Kaplan-Rakowski R, Grotewold K, Hartwick P, Papin K. Generative AI and teachers perspectives on its implementation in education.

Journal of Interactive Learning Research, 2023.

[5] Xia Y, LeTendre G. Robots for future classrooms: A cross-cultural validation study of negative attitudes toward robots scale in the US

context. International Journal of Social Robotics, 2021; https://doi.org/10.1007/s12369-020-00669-2.

DOI: http://dx.doi.org/10.18686/neet.v2i5.4628

Refbacks

There are currently no refbacks.