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

Authors

  •   Sukhmeet Kaur Research Fellow, INTI International University, Persiaran Perdana BBN Putra Nilai, 71800 Nilai, Negeri Sembilan
  •   Babita Yadav Assistant Professor, Department of Business Management, Doctor Harisingh Gour Central University, Sagar - 470 003, Madhya Pradesh
  •   Divya Goel Assistant Professor Senior Grade, Jaypee Business School, Jaypee Institute of Information Technology, A-10, Sector-62, Noida - 201 309, Uttar Pradesh
  •   Saloni Devi Senior Assistant Professor, The Business School, University of Jammu, Jammu - 180 006, Jammu & Kashmir
  •   Sharmila Devi Ramachandaran Senior Lecturer, Faculty of Business and Communication, INTI International University, Persiaran Perdana BBN Putra Nilai, 71800 Nilai, Negeri Sembilan
  •   Anuj Kumar Head of Research, Rushford Business School, Maihofstrasse 76, 6006, Lucerne, Switzerland. & Research Fellow, INTI International University

DOI:

https://doi.org/10.17010/pijom/2024/v17i12/174055

Keywords:

behavioral intentions

, ChatGPT, higher education, perceived ease of use, perceived usefulness, student learning motivation.

JEL Classification Codes

, I20, I21, I23, O33

Paper Submission Date

, May 16, 2024, Paper sent back for Revision, July 25, Paper Acceptance Date, September 25, Paper Published Online, December 15, 2024

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.

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Published

2024-12-15

How to Cite

Kaur, S., Yadav, B., Goel, D., Devi, S., Ramachandaran, S. D., & Kumar, A. (2024). Exploring Indian Students’ Perception, Behavioral Intentions, and Motivation for Learning with ChatGPT. Prabandhan: Indian Journal of Management, 17(12), 28–45. https://doi.org/10.17010/pijom/2024/v17i12/174055

Issue

Volume 17, Issue 12, December 2024

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC

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