With the increasing integration of generative Artificial Intelligence (AI) in education, there is a growing demand for accessible AI-powered platforms for teachers and students. This study examines the efficacy of an online question-making platform using GPT-3.5 generated content to develop Korean students’ question-asking skills in English. Employing a mixed-methods approach, we assessed the platform’s impact on students’ question making abilities and its feasibility in classroom settings. Participants included thirty students from a 4th grade elementary school English classroom in Korea and seven elementary school teachers. Quantitative data were collected through pre- and post-tests measuring students’ question-making skills, while qualitative insights were gathered from semi-structured teacher interviews. Results indicated that the application was able to significantly improve students’ question-making abilities. Thematic analysis of interviews indicated positive perceptions of the platform’s usability and p otential f or l anguage learning. Findings m ay contribute to the growing body of research on using artificial intelligence in L2 education and offer practical insights for educators seeking to leverage advance language models in their instructions.

I. Introduction
II. Theoretical Background
    1. Building Students’ Question-asking Skills in EFL Classrooms
    2. Individualized Learning and the Use of Natural Language Processing(NLP)
III. Research Method
    1. The Learning Platform: Make a Question
    2. Participants and Procedure
IV. Results and Discussion
    1. The Effect of Using Make a Question on Developing Students’Question-asking Skills
    2. Teachers’ Perception on Using the Make a Question Application
V. Conclusion
References
Appendix

• Yujong Park(Sungkyunkwan University)
• Junghyun Bum(Sungkyunkwan University)
• Dongjun Lim(Sungkyunkwan University)