Journal of Information Systems Engineering and Management

Artificial Intelligence, Big Data, and Information System User Experience: A Comprehensive Approach to Cross-cultural Adaptation in Educational Management of International Students
Lin Lin 1 * , Zhanguo Su 2
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1 Ph.D candidate, International College, Krirk University, Bangkok, Thailand
2 Doctor, Professor, International College, Krirk University, Bangkok, Thailand
* Corresponding Author
Research Article

Journal of Information Systems Engineering and Management, 2024 - Volume 9 Issue 3, Article No: 24484
https://doi.org/10.55267/iadt.07.14985

Published Online: 26 Jul 2024

Views: 89 | Downloads: 99

How to cite this article
APA 6th edition
In-text citation: (Lin & Su, 2024)
Reference: Lin, L., & Su, Z. (2024). Artificial Intelligence, Big Data, and Information System User Experience: A Comprehensive Approach to Cross-cultural Adaptation in Educational Management of International Students. Journal of Information Systems Engineering and Management, 9(3), 24484. https://doi.org/10.55267/iadt.07.14985
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Lin L, Su Z. Artificial Intelligence, Big Data, and Information System User Experience: A Comprehensive Approach to Cross-cultural Adaptation in Educational Management of International Students. J INFORM SYSTEMS ENG. 2024;9(3):24484. https://doi.org/10.55267/iadt.07.14985
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Lin L, Su Z. Artificial Intelligence, Big Data, and Information System User Experience: A Comprehensive Approach to Cross-cultural Adaptation in Educational Management of International Students. J INFORM SYSTEMS ENG. 2024;9(3), 24484. https://doi.org/10.55267/iadt.07.14985
Chicago
In-text citation: (Lin and Su, 2024)
Reference: Lin, Lin, and Zhanguo Su. "Artificial Intelligence, Big Data, and Information System User Experience: A Comprehensive Approach to Cross-cultural Adaptation in Educational Management of International Students". Journal of Information Systems Engineering and Management 2024 9 no. 3 (2024): 24484. https://doi.org/10.55267/iadt.07.14985
Harvard
In-text citation: (Lin and Su, 2024)
Reference: Lin, L., and Su, Z. (2024). Artificial Intelligence, Big Data, and Information System User Experience: A Comprehensive Approach to Cross-cultural Adaptation in Educational Management of International Students. Journal of Information Systems Engineering and Management, 9(3), 24484. https://doi.org/10.55267/iadt.07.14985
MLA
In-text citation: (Lin and Su, 2024)
Reference: Lin, Lin et al. "Artificial Intelligence, Big Data, and Information System User Experience: A Comprehensive Approach to Cross-cultural Adaptation in Educational Management of International Students". Journal of Information Systems Engineering and Management, vol. 9, no. 3, 2024, 24484. https://doi.org/10.55267/iadt.07.14985
ABSTRACT
This study analyses how AI integration, Big Data, information system quality, and cultural variables affect foreign student education and cross-cultural adaption. We discover patterns and connections in technological and cultural aspects affecting educational effectiveness using Explainable AI (XAI) and machine learning. The study found that big data, AI integration, and high-quality information systems increase international student user experience. Collectivism may prefer collaboration, whereas individualism may prefer tailored AI learning. Moderation shows that student culture strongly impacts technological interventions, highlighting the need for culturally suitable instructional technology. AI integration, big data use, and high-quality information systems boost user experience and academic performance more in China than in Pakistan. To help international students succeed, schools must use technology and culturally sensitive management. Schools must use technology with student culture in mind. Create technologically advanced and culturally flexible educational management solutions for all pupils. This study found that AI integration, big data, information system quality, and culture affect international students' education and performance. The research helps schools choose and manage technology to help foreign students succeed.
KEYWORDS
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