Abstract
[Objective] The purpose of this study is to propose possible approaches for utilizing AI in education based on students' monitoring perception of generative AI.
 [Contents] In this study, we analyzed use cases according to the types of generative AI and monitored students' perceptions through inductive content analysis. Based on this, we proposed possibilities and strategies for the utilization of generative AI models in future education.
 [Conclusions] The conclusion of the study is as follows. From a strengths perspective, it proposes enhancing accessibility to AI and promoting experiential learning for educational expansion. Additionally, it suggests tailored education and difficulty adjustment utilizing AI support. On the opportunity side, the study emphasizes strengthening multilingual support to address language issues. It also advocates expanding accessibility for AI to play a counseling role in providing physical, mental, and psychological stability through education. However, from a weaknesses standpoint, the study highlights considerations for challenges such as lack of accuracy in information, urgent need for AI infrastructure development, issues related to the time and cost of workforce training, and ethical concerns arising from inconsistent standards.
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