DOI QR코드

DOI QR Code

Intention to Continue Using Chat GPT as a learning Tool for College Students: Based on the Technology Acceptance Model

대학생 학습 도구로 Chat GPT 활용에 대한 지속사용 의도: 기술수용 모델을 기반으로

  • Noh Hyeyoung ;
  • Kim Hanju ;
  • Ku Yeong-Ae (Business Administration, Gachon University)
  • 노혜영 (가천대학교 대학원 경영학과) ;
  • 김한주 (한양대학교 대학원 경영학과) ;
  • 구영애 (수원여자대학교 세무회계과)
  • Received : 2024.03.17
  • Accepted : 2024.05.05
  • Published : 2024.05.31

Abstract

With the development of AI, Chat GPT, an artificial intelligence chatbot that appeared in 2022, is rapidly spreading to a wide range of people and expanding its usefulness. This study was conducted to examine college students' intention to continue using Chat GPT using a technology acceptance model. As a result of the study, all of Chat GPT's features had a positive effect on college students' perceived usefulness and perceived ease of use. However, among the features of Chat GPT, system quality and relative advantages did not directly affect the intention to continue using it. However, it was confirmed that it had an effect when perceived usefulness and perceived ease of use were mediated. The perceived usefulness and perceived ease of Chat GPT were verified to have a positive effect on the intention to continue using it.

AI의 발달과 함께 2022년 등장한 인공지능 챗봇인 Chat GPT는 다양한 분야에 급속도로 확산하며 활용성을 넓혀가고 있다. 본 연구는 대학생을 대상으로 Chat GPT에 대한 지속사용 의도를 기술수용모델로 살펴보고 미래의 학습 방향에 관한 제언을 하고자 연구되었다. 연구 결과 Chat GPT의 특징들은 모두 대학생들의 인지된 유용성과 인지된 용이성에 긍정적인 영향을 미쳤다. 그러나 Chat GPT의 특징 중 시스템 품질과 상대적 이점은 지속사용 의도에 직접적인 영향을 주지 못했다. 다만, 인지된 유용성과 인지된 용이성을 매개할 경우 영향을 미치는 것으로 확인할 수 있었다. Chat GPT에 대한 인지된 유용성과 인지된 용이성은 지속사용 의도에 긍정적인 영향을 검증하였다.

Keywords

References

  1. S.H. Oh, "The Principles, Applications, Limitations, and Business Efficiency of Chat GPT", Knowledge & Liberal arts, Vol. 14, No. 1, pp. 68 -711, March 2024
  2. H.N. Shim, "Chinese Character Education Using Generative Ais - Focusing on and -", The Journal of Language & Literature, Vol. 96, pp. 173-197, December 2023. DOI:10.15565/jll.2023.12.96.173
  3. D.H. Kwon, S.Y. Gu, J.I. Kim, J.I. Kim, and M.H. Lee, "A Case Study of Retelling Learning for Classical Literature Based on Chat GPT - Focusing on Interactions between Learners and Chat GPT -", Korean Language and Literature in International Context, Vol. 99, pp. 167-195, December 2023. DOI:10.31147/IALL.99.06
  4. S.W. HA, "Exploring the Practical Applications of Chat GPT for Simulation Teaching by Preservice Physics Teachers", Exploring the Practical Applications of Chat GPT for Simulation Teaching by Preservice Physics Teachers, Vol. 73, No. 9, pp. 734-749, September 2023
  5. O.H. Yoon, "The Emergence of Chat GPT and Exploration of the Direction of Liberal Arts Education", Journar of the Korea Contents Association, Vol. 23, No. 5, pp. 86-96, May 2023. DOI:10.5392/JKCA.2023.23.05.086
  6. H.W. Jung, and Y.H. Yang, "A Study of Narrative Structure of A.I. Characters and Thematicity in Contemporary Science Fiction Films: Focusing on the Comparison of Works before the Introduction of A.I. Technology and Worksafter the Emergence of Chat GPT Technology", Film Studies, Vol. 98, pp. 131-166, December 2023.DOI:10.17947/FS.2023.12.98.131
  7. C.H. Park, A.R. Cho, and Y.I. Chae, "The Effect of Chat GPT's e-Service Quality on Learning Performance through Perceived Value and Innovation", The Journal of the Convergence on Culture Technology (JCCT), Vol. 9, No. 5, pp. 707-719, September 2023. DOI:10.17703/JCCT.2023.9.5.707
  8. Y.H. Kim, K.S. Jung, and J.S. Lee, "Influencing factors on intention to use social media book information: Focusing on integrated model of IDT, TAM, and innovation resistance theory", Journal of Korea Culture Industry, Vol. 23, No. 3, pp. 145-153, September 2023. DOI:10.35174/JKCI.2023.09.23.3.145
  9. J.H. Sung, and M.K. Kim, "A Study on Factors Affecting the Intention to Use an Artificial Intelligence Sports Coaching System: Focusing on the Expanded Technology Acceptance Model (E-TAM)", The Korean Journal of Physical Education, Vol. 63, No. 2, pp. 561-575, March 2024
  10. Y.K. Jung, "A Study on the Use of Chat GPT and Copyright Issues", Science, Technology and Law, Vol. 14, No. 1, pp. 141-180, June 2023
  11. K. Osmo, and H. Sirkka, "Scenarios FromArtificial Narrow Intelligence to Artificial General Intelligence-Reviewing the Results of the International Work/Technology 2050 Study", World Future Review, Vol. 14, No. 1, pp. 65-79, May 2022. DOI:10.1177/19467567221101637
  12. M.A. Mostafa, C. Erik, and W.S. Bjorn, "Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of Chat GPT", IEEE, Vol. 38, No. 2, April 2023. DOI:10.1109/MIS.2023.3254179
  13. S.Z. Choe, "Development and Application of Analytic Tool for global OTT killer contents : Focused on Netflix K-Dramas", The Journal of Image and Cultural Contents, Vol. 29, pp. 189-221, June 2023. DOI:10.24174/jicc.2023.06.29.189
  14. H.J. Choi, and C.H. Cho, "Consumer Perception based on the Type of Personalized Service Using Big Data : A Privacy Calculus Perspective", Advertising Research, Vol. 124, pp. 37-64, March 2020. DOI:10.16914/ar.2020.124.37
  15. C.W. Kim, "University Learners' Intention to Use Chat GPT using the Extended Technology Acceptance Model: Focusing on Personal Innovativeness, Perceived Trust, and Perceived Risk", Journal of the Korea Contents Association, Vol. 24, No. 2, pp. 462-475, February 2024. DOI:10.5392/JKCA.2024.24.02.462
  16. F.D. Davis, "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS quarterly, Vol. 13, No. 3, pp. 319-340, September 1989. DOI:10.2307/249008
  17. S.H. Kim, D.Y. Lee, S.G. Kim, and S.G. Kim, "The Impact of Technical Characteristics of Fin-Tech Services and Quality of Information Systems on Customer Satisfaction through Technology Acceptance", Journal of Next-generation Convergence Technology Association, Vol. 7, No. 4, pp. 710-727, April 2023. DOI:10.33097/JNCTA.2023.07.04.710
  18. H.K. Lee, S.H. Lee, and B.H. Chang, "Factors Affecting the Resistance of DTV Adoption Combining the Theory of Diffusion of Innovation and Innovation Resistance Model", Korean Journal of Broadcasting & Telecommunications Research (KJBTR), Vol. 0, No. 80, pp. 79-111, October 2012. DOI:10.22876/kjbtr.2012.80.003
  19. Y.M. Yo, and H.Y. Noh, "A study on the adoption of smart work for ICT companies : Focusing on the innovation resistance model", The journal of Convergence on Culture Technology (JCCT), Vol. 9, No. 5, pp. 649-659, September 2023. DOI:10.17703/JCCT.2023.9.5.649
  20. E. M. Rogers, Diffusion of Innovations (5th ed.). Free Press: New York, 2003
  21. S. Ram, A model of innovation resistance, ACR North American Advances, 1987
  22. L.G. Schiffman and L.L. Kanuk, Consumer Behavior, PrenticeHall, Englewood Cliffs NJ, 1987.
  23. H. Kang, "Discussions on the Suitable Interpretation of Model Fit Indices and the Strategies to Fit Model in Structural Equation Modeling", Journal of The Korean Data Analysis Society, Vol. 15, No. 2, pp. 653-668, January 2013
  24. H.F. Kaiser, "The Influence of Personalized Recommendation on the Millennial's Evaluation of OTT Services : Focused on the variety seeking tendency", Journal of the HCI Society of Korea, Vol. 15, No. 3, pp. 43-53, September 2020. DOI:10.17210/jhsk.2020.09.15.3.43
  25. J.C. Nunnally, Psychometric theory (2nd ed.), New York: McGraw-Hill, 1967
  26. D. Straub, M.C. Boudreau, and D. Gefen, "Validation guidelines for IS positivist research", Communications of the Association for Information systems, Vol. 13, No. 1, pp. 24, 2004. DOI:10.17705/1CAIS.01324
  27. J. Hulland, "Use of partial least squares (PLS) in strategic management research: A review of four recent studies", Strategic management journal, Vol. 20, No. 2, pp. 195-204, February 1999. DOI:10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7
  28. J. Hulland, "Use of partial least squares (PLS) in strategic management research: A review of four recent studies", Strategic management journal, Vol. 20, No. 2, pp. 195-204, February 1999. DOI:10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7
  29. C. Fornell, and D.F. Larcker, "Evaluating structural equation models with unobservable variables and measurement error", Journal of marketing research, Vol. 18, No. 1, pp. 39-50, February 1981. DOI:10.1177/002224378101800104