基于人工智能的中国本科教学评审与评价标准特征分析

Xun Dai, Lin Lin
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引用次数: 0

摘要

在人工智能背景下,利用Nvivo12软件对国家本科教学审核评估标准词频进行分析,对国家审核评估标准中的要素进行初级编码和标注参考点。此外,对29个地方政府的审计评价标准中与教育部下发的文件不同的8个省的审计评价标准进行文本分析,随机抽取33所高校的审计评价标准和自评报告。本文从有机哲学的角度阐释了中国本科教学审计与评价标准的特点,为中国本科教学审计与评价标准的完善提供了依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the Characteristics of China's Undergraduate Teaching Review and Evaluation Standards based on Artificial Intelligence
In the context of artificial intelligence, the Nvivo12 software was used to analyze the word frequency of the national undergraduate teaching audit and evaluation standards, and perform primary coding and mark reference points for the elements in the national audit and evaluation standards. In addition, text analysis of the audit evaluation standards of 8 provinces that are different from the documents issued by the Ministry of Education among the audit evaluation standards of 29 local governments was carried out, and the audit evaluation standards and self-evaluation reports of 33 universities were randomly sampled. From the perspective of organic philosophy, this paper explains the characteristics of China's undergraduate teaching audit and evaluation standards, which provides a basis for the improvement of China's undergraduate teaching audit and evaluation standards.
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