AI in the Classroom: Analysing ChatGPT Usage Among School and College Students

This study explores the usage of ChatGPT among school and college students through the lens of the Unified Theory of Acceptance and Use of Technology (UTAUT) model, with an emphasis on age group as an additional moderating factor. A total sample of 396 students was collected through structured questionnaires. The UTAUT model’s key constructs are Performance expectancy, Effort expectancy, social influence, and Facilitating conditions these were examined to determine their impact on students’ behavioural intention to use ChatGPT. Age was included as a moderating variable to assess on the relationship between these constructs and intention to use ChatGPT. The study highlights the importance of age in understanding technology adoption among students, providing valuable insights for educators and policymakers aiming to integrate AI-driven tools like ChatGPT into educational settings effectively. Key-words: School and College Students, ChatGPT, UTAUT model

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-02-01
DOI
https://doi.org/10.55041/ijsrem41201
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI in the Classroom: Analysing ChatGPT Usage Among School and College Students

H.P. Garg
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Artificial Intelligence in Healthcare and Education
article

AI in the Classroom: Analysing ChatGPT Usage Among School and College Students

H.P. Garg
article en

Abstract

This study explores the usage of ChatGPT among school and college students through the lens of the Unified Theory of Acceptance and Use of Technology (UTAUT) model, with an emphasis on age group as an additional moderating factor. A total sample of 396 students was collected through structured questionnaires. The UTAUT model’s key constructs are Performance expectancy, Effort expectancy, social influence, and Facilitating conditions these were examined to determine their impact on students’ behavioural intention to use ChatGPT. Age was included as a moderating variable to assess on the relationship between these constructs and intention to use ChatGPT. The study highlights the importance of age in understanding technology adoption among students, providing valuable insights for educators and policymakers aiming to integrate AI-driven tools like ChatGPT into educational settings effectively. Key-words: School and College Students, ChatGPT, UTAUT model

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(02)
Quality Education
Openalex Percentile: Top 99%
Artificial Intelligence in Healthcare and Education
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