AI Literacy, Technology Acceptance, and Teaching Efficiency among Higher Education Teachers

Authors

DOI:

https://doi.org/10.56059/kb9v4b74

Keywords:

AI literacy, teaching efficiency, PEOU, perceived usefulness, higher education, India

Abstract

This study examines how AI literacy shapes the teaching efficiency of Higher Education Institution (HEI) teachers in Kerala, India. Responses were obtained from 380 teachers, collected through voluntary sampling, and analysed using Pearson correlation and mediation analysis. Teaching efficiency was significantly and positively correlated with AI literacy, perceived ease of use (PEOU), perceived usefulness (PU) and trust in AI tools. Demographic variables such as gender, age, qualification and subject specialisation showed no significant influence on the responses. Prior AI training and AI tool exposure significantly improved all measured variables. Mediation analysis confirmed that PEOU, PU, and trust partially mediate the relationship between AI literacy and teaching efficiency. These findings suggest institutional policy for open and distance AI learning beyond the academic sessions to improve AI literacy of the teachers.

Author Biographies

  • Genimon Vadakkemulanjanal Joseph, Vimal Jyothi Institute of Management and Research

    Genimon Vadakkemulanjanal Joseph (Jinuachan) is a professor, academician, researcher and institution builder in Engineering and Management. He began his career at Vimal Jyothi Institution, India in May 2005. His research covers educational technology, AI-supported education and sustainability. He has published many Scopus- and Web of Science-indexed articles and serves as a reviewer for reputed journals. His academic domains include HRM, Financial Derivatives, portfolio management, Insurance and Risk Management, Training and Management. Email: jinuachan@vjim.ac.in (https://orcid.org/0000-0001-6115-1097)

  • Anit M Thomas, CSE Department, Vimal Jyothi Engineering College Chemperi. Kannur, Kerala, India

    Anit M. Thomas is an Assistant Professor in Computer Science and Engineering (ADS) with over 4.5 years of academic experience. She teaches Data Science and Programming Fundamentals and has published research papers in national and international journals, including Scopus-indexed journals. Her interests include technology-enhanced learning, student-centric pedagogy, and AI applications in education. Email: anitthomasm@vjec.ac.in (https://orcid.org/0000-0003-0922-1427)

  • Dawn Jose, Xavier Institute of Management & Entrepreneurship, Kochi

    Dawn Jose has a PhD in Management Studies (Marketing) from MG University, India and 17 years experience in university teaching. His research focuses on social media marketing, consumer behaviour, social commerce and emerging technologies. He has published and presented papers at various conferences and currently teaches at Xavier Institute of Management & Entrepreneurship (XIME), Kochi as Senior Assistant Professor. Email: dawnjose@xime.org (https://orcid.org/0009-0006-9934-7160)

  • Athira P, VJCRS, Vimal Jyothi Institute of Management and Research, Chemperi. Kannur, Kerala, India

    Ms Athira P is a management faculty member with 14 years of teaching and project-guiding experience. She holds an MBA in Human Resource Management and Marketing Management and is a qualified UGC NET in Human Resources Management. She has published five national and four Scopus-indexed papers. Email: athira@vjim.ac.in (https://orcid.org/0009-0007-5490-8865) 

  • Nidhin Romeo, Brandenburg University of Technology, Cottbus-Senftenberg, Germany

    Nidhin Romeo is an experienced educator and academic professional with over nine years of experience in higher education and international academic environments. He has taught business-related subjects, provided career guidance, supported students, and coordinated academic activities. He is currently pursuing Transformation Studies and sustainability at Brandenburg University of Technology, Cottbus, Germany, with interests in teaching, innovation, sustainability, and higher education. Email: romeonid@b-tu.de (https://orcid.org/0009-0005-9199-223X)

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Published

2026-09-21

Issue

Vol. 13 No. 3 (2026): ISSUE 3

Section

Research Articles

License

Copyright (c) 2026 Genimon Vadakkemulanjanal Joseph, Anit M Thomas, Dawn Jose, Athira P, Nidhin Romeo

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How to Cite

Vadakkemulanjanal Joseph, G., M Thomas, A., Jose, D., P, A., & Romeo, N. (2026). AI Literacy, Technology Acceptance, and Teaching Efficiency among Higher Education Teachers. Journal of Learning for Development, 13(3), 417-428. https://doi.org/10.56059/kb9v4b74