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

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.

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Publication Details

Journal
Journal of Learning for Development -JL4D
Published
2026-09-21
DOI
https://doi.org/10.56059/kb9v4b74
Primary Topic
Digital literacy in education
Type
article
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AI Literacy, Technology Acceptance, and Teaching Efficiency among Higher Education Teachers

ATHIRA P, Dawn Jose, Anit M Thomas, Nidhin Romeo et al.
Journal of Learning for Development -JL4D
Digital literacy in education
article

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

ATHIRA P, Dawn Jose, Anit M Thomas, Nidhin Romeo, Genimon Vadakkemulanjanal Joseph
article en

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.

Journal of Learning for Development -JL4D
Quality Education
Openalex Percentile: Top 4%
Digital literacy in education
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AI Literacy, Technology Acceptance, and Teaching Efficiency among Higher Education Teachers — ATHIRA P, Dawn Jose, et al. · Journal of Learning for Development -JL4D (2026) | TGRS Research Map | TGRS