Development of AI Educational Datasets Library Using Synthetic Dataset Generation Method

Seulki Kim, Kwi-Ok Kim, Taeyoung Kim
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Abstract

Recently, as the impact of AI technology on society has increased, education to develop students' AI capabilities has been emphasized. Along with the importance of AI technology, the importance of datasets, which are an axis of technological development, is being emphasized, and many studies on datasets for AI are being conducted. In order to provide meaningful AI education to students from an educational perspective, this paper reconstructs libraries to utilize synthetic dataset generation libraries in different classroom instruction environments and confirms the applicability of educational purposes.
基于合成数据集生成方法的人工智能教育数据集库开发
最近,随着人工智能技术对社会的影响越来越大,培养学生人工智能能力的教育受到了重视。随着人工智能技术的重要性,作为技术发展轴心的数据集的重要性也被强调,许多关于人工智能数据集的研究正在进行。为了从教育的角度为学生提供有意义的人工智能教育,本文重构了图书馆,在不同的课堂教学环境中利用合成数据集生成库,并确认了其教育目的的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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