Treffer: A Support Model for Graduation Research Using Generative AI: A New Approach to Educational Processes and Instructional Methods.

The rapid development of generative AI has recently brought innovation to educational settings, opening new possibilities for supporting learning processes. The Ministry of Education, Culture, Sports, Science and Technology (MEXT) recognizes the convenience of generative AI and its potential to enhance productivity, while also addressing challenges such as misuse and its impact on creativity. This study aims to improve the quality of graduation research guidance by proposing an educational application model for generative AI, including Python programming assistance. A key feature of this approach is its emphasis on promoting students' self-directed learning (SDL) by showcasing diverse applications of generative AI, from its fundamentals to prompt engineering, beyond Python programming. Through this process, the study investigates how generative AI would contribute to the development of students' mathematical thinking and data analysis skills, as well as its impact on improving the efficiency and sophistication of research, based on analyses of deliverables such as student surveys and graduation theses. [ABSTRACT FROM AUTHOR]

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