大数据在高校本科教学评估中的应用--以J大学为例  

Application of Big Data in Undergraduate Teaching Evaluation

作　　者：许晓东[1,2] 赵幸[3] 肖华[2] 卞良[3] 

机构地区：[1]华中科技大学 [2]华中科技大学公共管理学院 [3]华中科技大学教育科学研究院

出　　处：《高等工程教育研究》2017年第1期127-132,共6页Research in Higher Education of Engineering

基　　金：国家自然科学基金项目“基于大数据的公共价值挖掘与公共决策支持研究”(71573096)的阶段性研究成果

摘　　要：由于社会评价机制不完善,当前我国高校本科教学评估面临诸多挑战。大数据的发展为优化高校本科教学评估提供了机遇,它能帮助高校全面地把握教学基本状态,充分利用社会评价,并提高本科教学评估效率。为研究大数据在高校本科教学评估中的应用,选取J大学为个案,发现不同主体对该校本科教学质量判断的差异性受政策导向影响。据此,建议从挖掘公众需求新动向、增加社会评价、完善数据治理等三方面将大数据应用到本科教学评估中,为提高本科教学质量提供决策参考。Because the social evaluation mechanism is not fully developed, the undergraduate teaching evaluation is now faced with many challenges in our country. The development of big data provides opportunities for our universities to optimize the undergraduate teaching evaluation, as it helps universities grasp basic teaching state comprehensively, make full use of social evaluation, and improve the efficiency of undergraduate teaching evaluation. In order to do research on the application of big data in undergraduate teaching evaluation, we choose J University as the case and find that the diversity of judgments by different subjects on undergraduate teaching quality is influenced by policy guidance. Therefore, it is suggested to apply big data to undergraduate teaching evaluation from three aspects： searching the new trend of public demand, increasing social evaluation and developing data management so as to provide decision-making references for improving undergraduate teaching quality.

关 键 词：本科教学评估 大数据 J大学 社会评价 本科教学质量 

分 类 号：G647[文化科学—高等教育学]