Enhancing teachers’ job satisfaction through the artificial intelligence utilization

Purpose This research paper investigates the utilization of artificial intelligence (AI) among teachers in higher education (universities and colleges) in India and its impact on teaching activities. The study explores teachers’ perceptions, attitudes and the factors influencing the integration of AI in their teaching practices. Design/methodology/approach A questionnaire-based survey was conducted involving 500 teachers in higher education (university and college) in India. Data analysis included descriptive statistics, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structure equation modeling. Findings The study addresses teachers’ expectations and attitudes toward AI integration in teaching practices. Results suggest that AI can potentially enhance teaching practices among teachers in higher education in India. The findings contribute to understanding AI adoption in teaching, providing insights for educational institutions and policymakers. Further research is recommended to validate the results across different regions and academic settings, leading to the development of strategies and support systems for successful AI implementation in teaching practices. Originality/value The originality of this research lies in its investigation of the integration of AI in college teaching practices among teachers in India. It contributes to the existing literature by exploring teachers’ perceptions, attitudes and the factors influencing the adoption of AI, providing valuable insights for educational institutions and policymakers in the Indian context.

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Publication Details

Journal
Journal of Applied Research in Higher Education
Published
2025-02-13
DOI
https://doi.org/10.1108/jarhe-03-2024-0126
Citations
5
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
44.63
Controls
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article

Enhancing teachers’ job satisfaction through the artificial intelligence utilization

Nimesh P. Bhojak, Mohammadali K. Momin, Dhimen Jani, Ashish Mathur
5 citations
Journal of Applied Research in Higher Education
Technology-Enhanced Education Studies
44.63
article

Enhancing teachers’ job satisfaction through the artificial intelligence utilization

Nimesh P. Bhojak, Mohammadali K. Momin, Dhimen Jani, Ashish Mathur
article en
5 citations

Abstract

Purpose This research paper investigates the utilization of artificial intelligence (AI) among teachers in higher education (universities and colleges) in India and its impact on teaching activities. The study explores teachers’ perceptions, attitudes and the factors influencing the integration of AI in their teaching practices. Design/methodology/approach A questionnaire-based survey was conducted involving 500 teachers in higher education (university and college) in India. Data analysis included descriptive statistics, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structure equation modeling. Findings The study addresses teachers’ expectations and attitudes toward AI integration in teaching practices. Results suggest that AI can potentially enhance teaching practices among teachers in higher education in India. The findings contribute to understanding AI adoption in teaching, providing insights for educational institutions and policymakers. Further research is recommended to validate the results across different regions and academic settings, leading to the development of strategies and support systems for successful AI implementation in teaching practices. Originality/value The originality of this research lies in its investigation of the integration of AI in college teaching practices among teachers in India. It contributes to the existing literature by exploring teachers’ perceptions, attitudes and the factors influencing the adoption of AI, providing valuable insights for educational institutions and policymakers in the Indian context.

Journal of Applied Research in Higher EducationVol. 18(3)
Veer Narmad South Gujarat University (IN), Hemchandracharya North Gujarat University (IN), Department of Commerce (AU), Jai Narain Vyas University (IN)
Openalex Percentile: Top 0%
Technology-Enhanced Education Studies
44.63
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Enhancing teachers’ job satisfaction through the artificial intelligence utilization — Nimesh P. Bhojak, Mohammadali K. Momin, et al. · Journal of Applied Research in Higher Education (2025) | TGRS Research Map | TGRS