Analysis of Extracurricular Program Participation Status and Generative AI Educational Needs for Supporting the Academic Adaptation of International Students: A Case Study of K University
The purpose of this study is to analyze the current status of extracurricular program utilization and the educational needs for Generative AI among international students, who have emerged as key university members amid the crisis of institutional sustainability caused by a sharp decline in the school-age population. To this end, a survey was conducted with 39 international students enrolled in English-track programs at K University located in Metropolitan City B. However, it should be noted that the sample is heavily concentrated on specific nationalities, such as Nepal(56.4%) and Bangladesh(23.1%), which limits the generalizability of the findings. The collected data were processed using frequency analysis via SPSS 26.0 and content analysis for open-ended responses. The main research findings are as follows. First, 82.1% of the international students had experience participating in extracurricular programs, and their primary motive was strengthening personal competence(46.3%) rather than extrinsic rewards. However, language barriers(43.6%) remain a significant obstacle to participation, confirming the urgent need for a multilingual support infrastructure. Second, 64.1% of the students used digital tools more than three times a week, with 30.4% specifically adopting Generative AI as an essential tool for securing academic literacy. Third, the educational needs analysis revealed the highest demand for AI tool utilization methods(31.1%), and a strong consensus(64.1%) was formed regarding the necessity of guidelines for AI ethics and copyright. The results of this study can serve as foundational data for building a customized learning support system for international students in the era of Generative AI.
Authors
- Su-Young KIM
Publication Details
- Journal
- Journal of Fisheries and Marine Sciences Education
- Published
- 2026-06-26
- DOI
- https://doi.org/10.13000/jfmse.2026.6.38.3.514
- Primary Topic
- Scientific Research and Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00