Acceptance of Generative Artificial Intelligence among Educators and Teacher Trainees: A Technology Acceptance Model Approach
Author(s): 1. Nikitasha Boro, 2. Prof. (Dr.) Satyendra Gupta
Authors Affiliations:
- B.Ed 2nd Year Student, School of Education, Galgotias University, Greater Noida, Uttar Pradesh, India
- Dean, School of Education, Galgotias University, Greater Noida, Uttar Pradesh, India
The viral advancement of Generative Artificial Intelligence (GenAI) has significantly transformed educational practices by providing tools that support lesson planning, content creation, assessment development, and academic productivity. Despite its growing popularity, their successful integration in education depends largely on users' acceptance and their willingness to adopt them.
This study applies the Technology Acceptance Model (TAM) to examine the factors influencing the level of acceptance of Generative AI among educators and teacher trainees. It further investigates the relationships among Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Toward Use (ATU), and Behavioural Intention to Use (BI) Generative AI tools using a structured questionnaire administered to teacher trainees and educators. Descriptive and inferential statistical analyses are employed to examine the influence of TAM constructs on the level of acceptance of Generative AI.
The findings are expected to contribute to the understanding of the factors affecting AI adoption
in educational settings and provide recommendations for teacher education institutions seeking to integrate AI technologies into teaching and learning processes.
Nikitasha Boro, Prof. (Dr.) Satyendra Gupta (2026); Acceptance of Generative Artificial Intelligence among Educators and Teacher Trainees: A Technology Acceptance Model Approach, Shikshan Sanshodhan : Journal of Arts, Humanities and Social Sciences, ISSN(o): 2581-6241, Volume – 9, Issue – 6, Available on – https://shikshansanshodhan.researchculturesociety.org/
REFERENCES
- Abbas, M., Jam, F. A., & Khan, T. I. (2024). Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00444-7
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
- Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460–474. https://doi.org/10.1080/14703297.2023.2195846
- Kasneci, E., et al. (2023). ChatGPT for good? On opportunities and challenges of large language models for education.
- Tlili, A., et al. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education.
- Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for Education and Research: Opportunities, Threats, and Strategies. Applied Sciences, 13(9), 5783. https://doi.org/10.3390/app13095783
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