摘要
在中国高等工程教育中,人才培养目标的合理性评价是专业修订培养目标的依据,培养目标达成情况评价是促进教学持续改进的重要基础。当前的培养目标评价通常较为宏观和抽象,影响了评价的有效性。在新工科和大数据的新时代背景下,本文提出面向多主体开展多要素基础数据采集,构建具有实质意义的立体化培养目标评价体系;采用模糊数学理论对专业培养目标的合理性和达成情况开展综合评价,为践行基于"成果导向"理念的持续改进奠定基础。
In terms of higher engineering education in China, a reasonable evaluation system of talent training objectives directs the revision of objectives for different majors, while a result evaluation system is an important foundation to promote the on-going improvement in teaching. However, the current evaluation method, with its abstract and macro nature, affects the effectiveness of evaluation. In this new era of emerging engineering education and big data, this paper asserts that data collecting should be on multi-agent and multi-element basis, to construct sound evaluation system with practical meaning. The fuzzy mathematics theory is adopted to conduct comprehensive evaluation on the reasonableness and result of major training objectives, which lays a foundation for the continuous improvement based on the concept of outcome-based education.
作者
吴琛
麻胜兰
王展亮
李惠霞
Wu Chen;Ma Shenglan;Wang Zhanliang;Li Huixia
出处
《高等工程教育研究》
CSSCI
北大核心
2020年第5期78-83,共6页
Research in Higher Education of Engineering
基金
中国高等教育学会高等教育科学研究“十三五”规划课题2018年度工程教育专项课题“‘新工科’视域下地方高校土木工程专业升级改造探索”(2018GCLZD10)
福建省教育科学“十三五”规划2018年度课题“依托专业群建设平台培养土木工程新工科人才”(FJJKCGZ18-803)
福建省本科高校教育教学改革研究项目(FBJG20190175)。
关键词
模糊综合评价
多主体多要素
培养目标
合理性
达成情况
fuzzy comprehensive evaluation
multi-agent&multi-element
training objectives
reasonableness
achievement