通过未来社会预测发展国家课程核心价值观概念框架的研究

Ji-sun Yu, Sung-hoon Yang
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摘要

本研究旨在根据时代的变化,解决核心价值观教育在课程中的重要性要求,探索和开发国家级课程的课程核心价值理念词语体系。在研究方法上,首先对2022年修订的课程文件中使用的核心价值理念词语进行词频分析,得出重要的核心价值理念词语。然后,利用频度分析和话题建模技术对各政府部门主要工作报告文件中的六合宝典宣传任务标题进行分析,找出趋势,并利用ChatGPT生成未来社会预测情景,最后根据STEEP进行分类。根据 STEEP 分类的未来社会预测情景与 2022 年修订的课程文件中的核心价值理念词进行了匹配,并从社会和个人两个方面进行了系统呈现。研究结果显示,"尊重 "等 30 个核心价值理念词来自 2022 年修订的课程文件,"产业、扩张和促进 "在各政府部门主要工作报告的重点举措标题中占据重要位置。而 "教育、文化、海洋 "等既代表了政府工作报告的特点,也代表了各部委的特点的词语也被列入了高频范围,证实了从政府工作报告的重点举措标题中引申出未来情景主题是有意义的。使用 ChatGPT 生成的未来社会预测场景共有 10 个,在根据 STEEP 进行分类后,我们开发了一个由社会和个人两方面共 30 个单词组成的核心价值概念语言系统。核心价值概念语言体系将有助于激活中小学核心价值教育并使之系统化,同时也将成为与大学通识教育衔接的基础。
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Research on the Development of a Conceptual Framework for Core Values in National Curriculum through Future Society Prediction
This study aims to address the importance of core value education required in the curriculum according to the changing times, and to explore and develop a core value concept word system for the curriculum at the national level curriculum. As a research method, first, the core value concept words used in the 2022 revised curriculum documents were frequency analyzed to derive important core value concept words. Then, we analyzed the headlines of the hexagonal promotion tasks in the main work report documents of each government department using frequency analysis and topic modeling techniques to identify trends, and generated scenarios for predicting the future society using ChatGPT and finally classified them according to STEEP. The future society prediction scenarios classified by STEEP were matched with the core value concept words in the 2022 revised curriculum document and presented systematically in terms of society and individuals. As a result of the study, 30 core value concept words including “respect” were derived from the 2022 revised curriculum, and “industry, expansion, and promotion” were important in the headlines of the key initiatives of each government ministry's major work report. Words such as “education, culture, and marine,” which represent the characteristics of the government's major work report but also the characteristics of each ministry, were also included in the high frequency range, confirming that it can be meaningful to derive future scenario topics from the headlines of the key initiatives of the government's major work report. There were 10 future society prediction scenarios generated using ChatGPT, and after classifying them according to STEEP, we developed a core value concept word system consisting of a total of 30 words divided into society and individual aspects. The core value conceptual language system will contribute to the activation and systematization of core value education in elementary and secondary schools, and will be the basis for connecting with liberal arts education at the university level.
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