工程伦理教育是高等工程教育改革的重要一环。在“新工科”建设背景下,学界又掀起了工程伦理教育研究的热潮。基于自然语言处理(NLP)技术,利用LDA技术,借助计量可视化工具,中国知网(CNKI)中收录的212篇研究性文献,从文献关键词时间分布图、词频表、词云图、LDA主题聚类表等角度出发,开展机器学习环境下的工程伦理教育研究文献挖掘与分析,分析了我国工程伦理教育的研究现状、理论基础和研究热点,指出了我国目前工程伦理教育存在的问题,并从高校角度提出了一些改进建议。本研究针对高等教育中如何促进工程伦理教育提供了有效参考。

Engineering ethics education is an indispensable part of higher engineering education reform. The research on engineering ethics education gets more attention forms researchers under the background of “New engineering”. Based on the processing of Natural language processing(NPL), with the support of SLatent Dirichlet Allocation(LDA)technology and metrological visualization tool, this article selected 212 research literatures collected in CNKI. Based on literature research overview, keywords frequency list, and documents co-citation network, this paper analyzed the research status, essential document, and hot topics in this domain based on the environment of machine learning . Besides, the problems that impeded the development of engineering ethics education were proposed. Finally, this paper proposed some suggestion to solve these problems in term of country, society and universities. This study provides an effective reference for promoting engineering ethics education in higher engineering education.

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