Generative AI and Mobile Learning in Higher Education: Comparing Student and Faculty Perspectives on Employability Impact

Authors

  • Zhi Lin Liu Nanchang Institute of Science and Technology, Nanchang, China

DOI:

https://doi.org/10.3991/ijim.v19i01.51325

Keywords:

Generative artificial intelligence, higher education, customised instruction, international students

Abstract


Globally, the production of moral citizens and professionals depends heavily on higher education. The advent of ChatGPT and other generative artificial intelligence (GenAI) tools has presented both opportunities and problems for the established educational model. The future of higher education, however, is a topic of little inquiry; instead, discussions these days are mostly focused on policy creation and evaluation. The purpose of this paper is to examine how AI is affecting international students’ education. It uses a research approach, as opposed to a standard literature review, to look at possible applications of AI and talk about related issues. The paper examines several AI applications, including chatbots for research and learning, adaptive testing, personalized learning, and statistical analysis. This study clarifies how AI may enhance learning effectiveness and offer tailored educational support by examining its role in education for international students. It also points out important dangers and constraints that must be properly addressed, such as privacy issues, cultural differences, language barriers, and ethical considerations. Predicting future advancements in AI, however, will be exceedingly challenging.

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Published

2025-01-13

How to Cite

Zhi Lin Liu. (2025). Generative AI and Mobile Learning in Higher Education: Comparing Student and Faculty Perspectives on Employability Impact. International Journal of Interactive Mobile Technologies (iJIM), 19(01), pp. 34–45. https://doi.org/10.3991/ijim.v19i01.51325

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Section

Papers