Ali Zain
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Ali Zain has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Hyunjin Seo
William Allen White School of Journalism and Mass Communications, University of Kansas
1 shared publication - Muhammad Ittefaq
James Madison University
1 shared publication - Muhammad Laeeq Khan
Ohio University
1 shared publication - Rauf Arif
Towson University, USA
1 shared publication - Taufiq Ahmad
University of Maryland, USA
1 shared publication
Latest Publications
- Top Cited PapersOpen Access
- 2 July 2025
- Published by STAR Scholars Network in Journal of International Students
- Vol. 15 (7) , 127-154
Factors influencing international students’ adoption of generative artificial intelligence
The present study examines the factors influencing international students’ intentions to use generative artificial intelligence (GenAI). Our results showed that attitude toward GenAI use, perceived ease of use, perceived usefulness, enjoyment, subjective norms, novelty, trust in technology, perceived value, and AI literacy were positively associated with intention to use GenAI. Fear of plagiarism had a negative relationship with intention to use GenAI. Our mediation analysis suggested that trust in technology, perceived ease of use, fear of plagiarism, perceived usefulness, and AI literacy indirectly influenced GenAI usage intention via attitude and perceived value, underscoring both the appeal and concerns of GenAI in learning. This study contributed to the TPB, VAM, and TAM frameworks by incorporating fear of plagiarism, trust in technology, and AI literacy to demonstrate how cognitive, affective, and value-based factors collectively influence the adoption of GenAI technologies among international students.
- 2 July 2025
- Published by STAR Scholars Network in Journal of International Students
- Vol. 15 (7) , 127-154
Top Cited PapersOpen AccessFactors influencing international students’ adoption of generative artificial intelligence
The present study examines the factors influencing international students’ intentions to use generative artificial intelligence (GenAI). Our results showed that attitude toward GenAI use, perceived ease of use, perceived usefulness, enjoyment, subjective norms, novelty, trust in technology, perceived value, and AI literacy were positively associated with intention to use GenAI. Fear of plagiarism had a negative relationship with intention to use GenAI. Our mediation analysis suggested that trust in technology, perceived ease of use, fear of plagiarism, perceived usefulness, and AI literacy indirectly influenced GenAI usage intention via attitude and perceived value, underscoring both the appeal and concerns of GenAI in learning. This study contributed to the TPB, VAM, and TAM frameworks by incorporating fear of plagiarism, trust in technology, and AI literacy to demonstrate how cognitive, affective, and value-based factors collectively influence the adoption of GenAI technologies among international students.