Antecedents of the adoption, use, and legal risks of ChatGPT in Jordan

The current study aims to assess the factors that could affect students’ use of ChatGPT. The study proposed a theoretical model that included six factors. Data was collected from 518 students using a questionnaire. The data were analyzed using Structural Equation Modeling to identify the relationships and test the hypothesis. The findings revealed that performance expectancy and social trust significantly influenced students’ intentions to use ChatGPT. Contrary to expectations, both social influence and effort expectancy had insignificant effects. By elucidating the core factors affecting the utilization of ChatGPT, trust had a significant impact on the intention to use ChatGPT. Furthermore, trust mediates the relationship between perceived security and intention to use ChatGPT, this study can provide valuable insights for policymakers. Moreover, this study contributes to the existing literature by setting the foundation for future research seeking a deeper understanding of the factors influencing the use of other AI technologies in teaching and learning in Electronic Public Facilities.

Authors

Publication Details

Journal
International Journal of Data and Network Science
Published
2025-01-01
DOI
https://doi.org/10.5267/j.ijdns.2024.8.007
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

Antecedents of the adoption, use, and legal risks of ChatGPT in Jordan

Mohmmad Husien Almajali, Dmaithan Almajali, Ra’ed Moh’d Taisir Masa’deh, Lama Ahmad Alsmadi et al.
1 citations
International Journal of Data and Network Science
Artificial Intelligence in Healthcare and Education
0.65
article

Antecedents of the adoption, use, and legal risks of ChatGPT in Jordan

Mohmmad Husien Almajali, Dmaithan Almajali, Ra’ed Moh’d Taisir Masa’deh, Lama Ahmad Alsmadi, Mostafa Hussam Mostafa Altarawneh
article en
1 citations

Abstract

The current study aims to assess the factors that could affect students’ use of ChatGPT. The study proposed a theoretical model that included six factors. Data was collected from 518 students using a questionnaire. The data were analyzed using Structural Equation Modeling to identify the relationships and test the hypothesis. The findings revealed that performance expectancy and social trust significantly influenced students’ intentions to use ChatGPT. Contrary to expectations, both social influence and effort expectancy had insignificant effects. By elucidating the core factors affecting the utilization of ChatGPT, trust had a significant impact on the intention to use ChatGPT. Furthermore, trust mediates the relationship between perceived security and intention to use ChatGPT, this study can provide valuable insights for policymakers. Moreover, this study contributes to the existing literature by setting the foundation for future research seeking a deeper understanding of the factors influencing the use of other AI technologies in teaching and learning in Electronic Public Facilities.

International Journal of Data and Network ScienceVol. 9(3)
Openalex Percentile: Top 23%
Artificial Intelligence in Healthcare and Education
0.65
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Antecedents of the adoption, use, and legal risks of ChatGPT in Jordan — Mohmmad Husien Almajali, Dmaithan Almajali, et al. · International Journal of Data and Network Science (2025) | TGRS Research Map | TGRS