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Integrating AI in Academia: A SEM Evaluation of Research Scholars' Usage Intentions on ChatGPT

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Title: Integrating AI in Academia: A SEM Evaluation of Research Scholars' Usage Intentions on ChatGPT
Language: English
Authors: Sonal Sharma (ORCID 0000-0001-8318-7381), V. P. Joshith (ORCID 0000-0002-5573-2335), K. Kavitha (ORCID 0009-0001-5628-0270), Anusha Anthony (ORCID 0009-0002-8688-4443)
Source: Higher Learning Research Communications. 2025 15(2).
Availability: Walden University, LLC. 100 Washington Avenue South Suite 900, Minneapolis, MN 55401. Tel: 800-925-3368; Fax: 612-338-5092; e-mail: HLRCeditor@mail.waldenu.edu; Web site: https://scholarworks.waldenu.edu/hlrc/
Peer Reviewed: Y
Page Count: 30
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology, Intention, Higher Education, Educational Research, Educational Researchers, Scholarship, Foreign Countries, Predictor Variables, Expectation, Social Influences, Ethics, Writing Research, Research Methodology, Research Needs, Educational Quality, Motivation
Geographic Terms: India
ISSN: 2157-6254
Abstract: Objectives: In this study, we investigate the intentions of research scholars to use ChatGPT in their academic research endeavors by employing an extended Unified Theory of Acceptance and Use of Technology model, the UTAUT2, which examines factors such as performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, habit, ethical concerns, and research excellence. By incorporating "research excellence" into the model, we aim to provide insights into artificial intelligence (AI) adoption in academic research settings and contribute to the broader discourse on the future of academic practices. Method: We conducted a survey among 400 research scholars in Indian higher education institutions to collect data. We then analyzed the data using Partial Least Squares-Structural Equation Modeling (PLS-SEM). Results: The analysis revealed that performance expectancy, facilitating conditions, hedonic motivation, habit, and research excellence significantly influence the intention to use ChatGPT, with research excellence emerging as the strongest predictor. Effort expectancy, social influence, and ethical concerns, however, did not significantly impact adoption intentions. Conclusions: The findings indicate that several key factors, particularly research excellence, play a critical role in influencing research scholars' intentions to integrate ChatGPT into their academic activities. The study demonstrates the importance of these factors in fostering AI adoption within the context of academic research. Implications for Practice: The results of this study offer valuable insights for researchers, administrators, and policymakers who aim to create environments conducive to effective AI utilization in research academia. By understanding the factors that influence AI adoption, stakeholders can better support research scholars in integrating ChatGPT into their work, enhancing academic practices, and advancing the use of AI in research.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1483989
Database: ERIC
FullText Text:
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  Data: Integrating AI in Academia: A SEM Evaluation of Research Scholars' Usage Intentions on ChatGPT
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  Data: <searchLink fieldCode="AR" term="%22Sonal+Sharma%22">Sonal Sharma</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-8318-7381">0000-0001-8318-7381</externalLink>)<br /><searchLink fieldCode="AR" term="%22V%2E+P%2E+Joshith%22">V. P. Joshith</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-5573-2335">0000-0002-5573-2335</externalLink>)<br /><searchLink fieldCode="AR" term="%22K%2E+Kavitha%22">K. Kavitha</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0001-5628-0270">0009-0001-5628-0270</externalLink>)<br /><searchLink fieldCode="AR" term="%22Anusha+Anthony%22">Anusha Anthony</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0002-8688-4443">0009-0002-8688-4443</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Higher+Learning+Research+Communications%22"><i>Higher Learning Research Communications</i></searchLink>. 2025 15(2).
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  Data: Walden University, LLC. 100 Washington Avenue South Suite 900, Minneapolis, MN 55401. Tel: 800-925-3368; Fax: 612-338-5092; e-mail: HLRCeditor@mail.waldenu.edu; Web site: https://scholarworks.waldenu.edu/hlrc/
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  Data: 30
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Integration%22">Technology Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Intention%22">Intention</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Researchers%22">Educational Researchers</searchLink><br /><searchLink fieldCode="DE" term="%22Scholarship%22">Scholarship</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink><br /><searchLink fieldCode="DE" term="%22Expectation%22">Expectation</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Influences%22">Social Influences</searchLink><br /><searchLink fieldCode="DE" term="%22Ethics%22">Ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Research%22">Writing Research</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Methodology%22">Research Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Needs%22">Research Needs</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Quality%22">Educational Quality</searchLink><br /><searchLink fieldCode="DE" term="%22Motivation%22">Motivation</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink>
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  Data: 2157-6254
– Name: Abstract
  Label: Abstract
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  Data: Objectives: In this study, we investigate the intentions of research scholars to use ChatGPT in their academic research endeavors by employing an extended Unified Theory of Acceptance and Use of Technology model, the UTAUT2, which examines factors such as performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, habit, ethical concerns, and research excellence. By incorporating "research excellence" into the model, we aim to provide insights into artificial intelligence (AI) adoption in academic research settings and contribute to the broader discourse on the future of academic practices. Method: We conducted a survey among 400 research scholars in Indian higher education institutions to collect data. We then analyzed the data using Partial Least Squares-Structural Equation Modeling (PLS-SEM). Results: The analysis revealed that performance expectancy, facilitating conditions, hedonic motivation, habit, and research excellence significantly influence the intention to use ChatGPT, with research excellence emerging as the strongest predictor. Effort expectancy, social influence, and ethical concerns, however, did not significantly impact adoption intentions. Conclusions: The findings indicate that several key factors, particularly research excellence, play a critical role in influencing research scholars' intentions to integrate ChatGPT into their academic activities. The study demonstrates the importance of these factors in fostering AI adoption within the context of academic research. Implications for Practice: The results of this study offer valuable insights for researchers, administrators, and policymakers who aim to create environments conducive to effective AI utilization in research academia. By understanding the factors that influence AI adoption, stakeholders can better support research scholars in integrating ChatGPT into their work, enhancing academic practices, and advancing the use of AI in research.
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  Data: 2025
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    Languages:
      – Text: English
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        PageCount: 30
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Technology Integration
        Type: general
      – SubjectFull: Educational Technology
        Type: general
      – SubjectFull: Intention
        Type: general
      – SubjectFull: Higher Education
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      – SubjectFull: Educational Research
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      – SubjectFull: Scholarship
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      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Predictor Variables
        Type: general
      – SubjectFull: Expectation
        Type: general
      – SubjectFull: Social Influences
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      – SubjectFull: Ethics
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      – SubjectFull: Writing Research
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      – SubjectFull: Research Methodology
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      – SubjectFull: Research Needs
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      – SubjectFull: Educational Quality
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      – SubjectFull: Motivation
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      – SubjectFull: India
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      – TitleFull: Integrating AI in Academia: A SEM Evaluation of Research Scholars' Usage Intentions on ChatGPT
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