TY - JOUR
T1 - The Sustainable Integration of AI in Higher Education
T2 - Analyzing ChatGPT Acceptance Factors Through an Extended UTAUT2 Framework in Peruvian Universities
AU - Arbulú Ballesteros, Marco Agustín
AU - Acosta Enríquez, Benicio Gonzalo
AU - Ramos Farroñán, Emma Verónica
AU - García Juárez, Hugo Daniel
AU - Cruz Salinas, Luis Edgardo
AU - Blas Sánchez, Julio Ernesto
AU - Arbulú Castillo, Julie Catherine
AU - Licapa-Redolfo, Gladys Sandi
AU - Farfán Chilicaus, Gary Christiam
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/12
Y1 - 2024/12
N2 - ChatGPT, a large language model AI, has the potential to transform higher education by providing students with personalized learning support, assisting in writing tasks, and enhancing their level of engagement. This study examines the factors influencing the acceptance of ChatGPT among university students in Peru, following the extended UTAUT2 model with the addition of a construct called knowledge sharing (KS). A total of 772 students from seven universities in Lambayeque and La Libertad participated in an online survey, providing insights into their perceptions and experiences with using ChatGPT for academic purposes. The results from the structural equation model showed that effort expectancy, behavioral intention, and knowledge sharing positively influenced the actual use of ChatGPT. Furthermore, effort expectancy and performance expectancy were found to be determinants of the behavioral intention to use ChatGPT. The study also revealed that performance expectancy and behavioral intention serve as sequential mediating variables regarding the effect of effort expectancy on actual use. These findings suggest a positive adoption of ChatGPT among students, driven by individual and contextual factors, and highlight the importance of managing effort and performance expectations appropriately. This study represents a significant advancement in understanding the acceptance of ChatGPT in higher education and provides valuable guidance for practical implementation efforts, ensuring that this powerful AI tool is effectively leveraged to support student learning and success.
AB - ChatGPT, a large language model AI, has the potential to transform higher education by providing students with personalized learning support, assisting in writing tasks, and enhancing their level of engagement. This study examines the factors influencing the acceptance of ChatGPT among university students in Peru, following the extended UTAUT2 model with the addition of a construct called knowledge sharing (KS). A total of 772 students from seven universities in Lambayeque and La Libertad participated in an online survey, providing insights into their perceptions and experiences with using ChatGPT for academic purposes. The results from the structural equation model showed that effort expectancy, behavioral intention, and knowledge sharing positively influenced the actual use of ChatGPT. Furthermore, effort expectancy and performance expectancy were found to be determinants of the behavioral intention to use ChatGPT. The study also revealed that performance expectancy and behavioral intention serve as sequential mediating variables regarding the effect of effort expectancy on actual use. These findings suggest a positive adoption of ChatGPT among students, driven by individual and contextual factors, and highlight the importance of managing effort and performance expectations appropriately. This study represents a significant advancement in understanding the acceptance of ChatGPT in higher education and provides valuable guidance for practical implementation efforts, ensuring that this powerful AI tool is effectively leveraged to support student learning and success.
KW - ChatGPT
KW - UTAUT2
KW - artificial intelligence
KW - educational technology
KW - higher education
KW - undergraduate students
UR - http://www.scopus.com/inward/record.url?scp=85211822273&partnerID=8YFLogxK
U2 - 10.3390/su162310707
DO - 10.3390/su162310707
M3 - Article
AN - SCOPUS:85211822273
VL - 16
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 23
M1 - 10707
ER -
