基于高质量在线课程的教育技术发展趋势分析与研究

Wu Xue
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摘要

本文主要针对与网络课程教育研究相关的文章,通过对文章中的关键词进行数据分析,并利用社交网络分析软件进行可视化处理。社会网络分析作为一种分析方法和解释方法,在心理学、社会学、人类学和数学等领域得到了发展。自20世纪30年代以来,社会网络分析方法在理论和算法上都有了发展,复杂网络分析方法较为成熟。因此,运用社会网络分析法对复杂网络课程的教育技术网络进行分析,可以清晰地反映出该领域的研究现状与知识之间的关系。本文进一步运用社会网络分析方法对数据进行解读,揭示研究过程中网络课程教育技术所产生的知识流动和知识转移,进而分析其在未来研究中的发展趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis and Research on Educational Technology Trends Based on High Quality Online Course
This article focuses on articles related to the education and research of online courses, through data analysis of keywords in the article, and visual processing using social network analysis software. As an analysis method and interpretation method, social network analysis is developed in the fields of psychology, sociology, anthropology, and mathematics. Since the 1930s, social network analysis methods have been developed in theory and algorithms and more mature complex network analysis method. Therefore, using social network analysis to analyze the educational technology network of the complex network courses can clearly reflect the relationship between the current research status and knowledge in this field. This article further uses social network analysis methods to interpret the data, reveals the knowledge flow and knowledge transfer generated by the educational technology of online courses in the research process, and then analyzes its development trend in future research.
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