A Study on The Impact of Generative Artificial Intelligence on Teaching and Student Engagement in Teacher Education Institutions

This study investigates the influence of ChatGPT, a generative AI tool, on teaching effectiveness and student engagement in teacher education institutions of Bagalkote district. A descriptive–correlational research design was adopted, involving 30 teacher educators and 120 student-teachers from six B.A. colleges. Data were collected using a self-developed Likert-scale questionnaire covering two domains: (1) Perceived Impact of ChatGPT on Teaching Effectiveness, and (2) Perceived Impact on Student Engagement. Descriptive statistics revealed a high level of positive perception among both teachers and students. Pearson correlation analysis indicated a significant positive relationship between the use of ChatGPT and student engagement (r = 0.72, p < 0.01). Results suggest that AI-assisted teaching strategies enhance lesson preparation, instructional delivery, and active participation. The study emphasizes the potential of AI integration in higher education pedagogy, while recommending structured training for educators.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-09
DOI
https://doi.org/10.5281/zenodo.17307493
Primary Topic
E-Learning and COVID-19
Type
article
Field-Weighted Citation Impact
0.00
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article

A Study on The Impact of Generative Artificial Intelligence on Teaching and Student Engagement in Teacher Education Institutions

Zenodo (CERN European Organization for Nuclear Research)
E-Learning and COVID-19
article

A Study on The Impact of Generative Artificial Intelligence on Teaching and Student Engagement in Teacher Education Institutions

article en

Abstract

This study investigates the influence of ChatGPT, a generative AI tool, on teaching effectiveness and student engagement in teacher education institutions of Bagalkote district. A descriptive–correlational research design was adopted, involving 30 teacher educators and 120 student-teachers from six B.A. colleges. Data were collected using a self-developed Likert-scale questionnaire covering two domains: (1) Perceived Impact of ChatGPT on Teaching Effectiveness, and (2) Perceived Impact on Student Engagement. Descriptive statistics revealed a high level of positive perception among both teachers and students. Pearson correlation analysis indicated a significant positive relationship between the use of ChatGPT and student engagement (r = 0.72, p < 0.01). Results suggest that AI-assisted teaching strategies enhance lesson preparation, instructional delivery, and active participation. The study emphasizes the potential of AI integration in higher education pedagogy, while recommending structured training for educators.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 35%
E-Learning and COVID-19
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A Study on The Impact of Generative Artificial Intelligence on Teaching and Student Engagement in Teacher Education Institutions · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS