Exploring Indian Students’ Perception, Behavioral Intentions, and Motivation for Learning with ChatGPT

Purpose : The paper aimed to develop an understanding of ChatGPT’s increasing popularity among higher education students for exploring, tailoring, and enriching coursework content. The study determined to explore the factors that affected technology acceptance and usage of ChatGPT.Methodology : The paper identified three predictor variables, namely perceived usefulness (PU), ease of usefulness, and behavioral intentions (BIs) of using the ChatGPT technology as the dependent variable. Further, the perception of the students that motivated them to learn was considered as the independent variable. The study executed 300 structured questionnaires online among management students and functioned as a mixed-method research analysis on SPSS and MAXQDA.Findings : The paper conceded that PU, perceived ease of usefulness, and BI significantly correlated with motivations for learning. The qualitative analysis noticed that the students made their coursework, assignments, and projects easier and more convenient with accurate answers with the support of ChatGPT.Practical Implications : The study is limited to the variables considered for empirical study. We advocated that ChatGPT does not completely replace natural learning techniques such as social interaction, observations, and guidance throughout the journey of education and development. The study produced ethical considerations and inventive viewpoints for future research in educational settings.Originality : Unlike previous research on ChatGPT and education, the present work combined to assess the technical acceptance model with students’ BI and learning motivations for new technology.

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Publication Details

Journal
Prabandhan Indian Journal of Management
Published
2024-12-13
DOI
https://doi.org/10.17010/pijom/2024/v17i12/174055
Citations
3
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.24
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article

Exploring Indian Students’ Perception, Behavioral Intentions, and Motivation for Learning with ChatGPT

Saloni Devi, Anuj Kumar, Sukhmeet Kaur, Divya Goel et al.
3 citations
Prabandhan Indian Journal of Management
Online Learning and Analytics
1.24
article

Exploring Indian Students’ Perception, Behavioral Intentions, and Motivation for Learning with ChatGPT

Saloni Devi, Anuj Kumar, Sukhmeet Kaur, Divya Goel, Babita Yadav, Sharmila Devi Ramachandaran
article en
3 citations

Abstract

Purpose : The paper aimed to develop an understanding of ChatGPT’s increasing popularity among higher education students for exploring, tailoring, and enriching coursework content. The study determined to explore the factors that affected technology acceptance and usage of ChatGPT.Methodology : The paper identified three predictor variables, namely perceived usefulness (PU), ease of usefulness, and behavioral intentions (BIs) of using the ChatGPT technology as the dependent variable. Further, the perception of the students that motivated them to learn was considered as the independent variable. The study executed 300 structured questionnaires online among management students and functioned as a mixed-method research analysis on SPSS and MAXQDA.Findings : The paper conceded that PU, perceived ease of usefulness, and BI significantly correlated with motivations for learning. The qualitative analysis noticed that the students made their coursework, assignments, and projects easier and more convenient with accurate answers with the support of ChatGPT.Practical Implications : The study is limited to the variables considered for empirical study. We advocated that ChatGPT does not completely replace natural learning techniques such as social interaction, observations, and guidance throughout the journey of education and development. The study produced ethical considerations and inventive viewpoints for future research in educational settings.Originality : Unlike previous research on ChatGPT and education, the present work combined to assess the technical acceptance model with students’ BI and learning motivations for new technology.

Prabandhan Indian Journal of ManagementVol. 17(12)
INTI International University (MY), University of Jammu (IN), Jaypee Institute of Information Technology (IN), Lucerne University of Applied Sciences and Arts (CH), Dr. Hari Singh Gour University (IN)
Openalex Percentile: Top 14%
Online Learning and Analytics
1.24
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