AI Tool Usage Among Education College Teachers: A Comparative Analysis Study

This study investigates the usage of Artificial Intelligence (AI) tools among education college teachers, focusing on differences across gender, location of students (rural vs. urban), type of school management (government vs. private), and teaching experience (below 5 years vs. above 5 years). A sample of 300 teachers (150 male, 150 female) was surveyed, with equal representation across rural (150) and urban (150) student locations, government (150) and private (150) schools, and teaching experience categories (150 below 5 years, 150 above 5 years). Using SPSS for analysis, descriptive statistics (mean, standard deviation), t-tests, ANOVA (F-value), and correlation analyses were conducted to explore AI tool adoption. Results indicate significant differences in AI tool usage based on gender and teaching experience, with non-significant differences for location and management type at the 0.05 significance level. The findings provide insights for policymakers and educators to enhance AI integration in teacher education.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-16
DOI
https://doi.org/10.5281/zenodo.21393623
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
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article

AI Tool Usage Among Education College Teachers: A Comparative Analysis Study

K. Ratheeswari
Zenodo (CERN European Organization for Nuclear Research)
Online Learning and Analytics
article

AI Tool Usage Among Education College Teachers: A Comparative Analysis Study

K. Ratheeswari
article en

Abstract

This study investigates the usage of Artificial Intelligence (AI) tools among education college teachers, focusing on differences across gender, location of students (rural vs. urban), type of school management (government vs. private), and teaching experience (below 5 years vs. above 5 years). A sample of 300 teachers (150 male, 150 female) was surveyed, with equal representation across rural (150) and urban (150) student locations, government (150) and private (150) schools, and teaching experience categories (150 below 5 years, 150 above 5 years). Using SPSS for analysis, descriptive statistics (mean, standard deviation), t-tests, ANOVA (F-value), and correlation analyses were conducted to explore AI tool adoption. Results indicate significant differences in AI tool usage based on gender and teaching experience, with non-significant differences for location and management type at the 0.05 significance level. The findings provide insights for policymakers and educators to enhance AI integration in teacher education.

Zenodo (CERN European Organization for Nuclear Research)
Gender equality
Openalex Percentile: Top 5%
Online Learning and Analytics
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