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.

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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
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article

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

Su-Young KIM
Journal of Fisheries and Marine Sciences Education
Scientific Research and Technology
article

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

Su-Young KIM
article en

Abstract

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.

Journal of Fisheries and Marine Sciences EducationVol. 38(3)
Quality Education
Openalex Percentile: Top 4%
Scientific Research and Technology
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