期刊文献+

基于大数据分析的教学评价体系建立与实践——以绍兴文理学院为例 被引量:7

Construction and Practice of Course Teaching Evaluation System Based on Big Data Analysis
下载PDF
导出
摘要 针对当前正在积极开展课程教学模式改革的地方本科院校而言,课程教学评价是衡量课堂教学质量的重要手段,也是检验课改效果的重要依据.通过分析教学评价的指标体系,以学生参与度、认可度与满意度为核心指标,分别构建课程评价指标体系、二级学院评估体系和地方高校评估指标体系.以地方本科院校为研究对象,利用教学质量测评获取评价数据,基于大数据分析的视角,研究课改项目对课堂教学质量的影响,评估二级学院教学水平状况,分析制约教学质量提升的因素,探索不同学科门类普遍适用的教学评价体系,寻求提高本科教学培养质量的有效途径. For local colleges and universities actively carrying out the reform of teaching modes, the courseteaching evaluation is not only considered an important method to measure the teaching quality, but also usedas important material to assess the teaching effect. On the basis of the analysis of the indicator system for thecore factors such as the student participation, recognition and satisfaction, the evaluation indicator system ofthe curriculum, secondary schools and local colleges are respectively constructed. Targeted at the local colle-ges and universities, using the data obtained from the teaching quality assessment and from the perspective ofthe big data analysis, the influence of the teaching reform projects for the teaching quality is researched, theimplementation situation for the teaching reform in schools is evaluated, and the restrictive factors for theteaching quality improvement are considered. The suitable teaching model for all programs is explored, andthe effective path is discovered to effectively promote the cultivation quality of undergraduates.
出处 《绍兴文理学院学报》 2017年第9期111-117,共7页 Journal of Shaoxing University
基金 2017年度浙江省哲学社会科学规划一般课题"基于大数据分析的地方本科院校课堂教学评价模型构建研究"(17NDJC142YB) 2016年度浙江省教育教学规划课题"基于大数据分析的浙江应用型本科院校课程教学模式改革评价模型构建研究"(2016SCG137) 2015年浙江省高等教育课堂教学改革项目"强化过程的互动反馈课程教学模式--以电类基础课程为例"(kg2015396)
关键词 教学评价 教学模式 评价指标 大数据 形成性评价 teaching evaluation teaching model evaluation indicator big data formative assessment
  • 相关文献

参考文献6

二级参考文献45

  • 1曹荣平,张文霞,周燕.形成性评估在中国大学非英语专业英语写作教学中的运用[J].外语教学,2004,25(5):82-87. 被引量:184
  • 2马蔚,何培芬.英语教学中的形成性评价与学生学习能力的培养[J].职业教育研究,2006(1):102-103. 被引量:16
  • 3[美]布卢姆,等.教育评价[M].邱渊,等译.上海:华东师范大学出版社,1987.
  • 4谢邦昌.数据挖掘Clementine应用实物[M].北京:机械工业出版社,2008.
  • 5Applying Data Mining Techniques Using SAS Enterprise Miner[M].Cary,USA:The SAS Institute,2005.
  • 6Michael J.A.Berry &Gordon S.Linoff.Data Mining Techniques for Marking,Sales,and Customer Relationship Management[M].Indianapolis,USA:Wiley Publishing,2004.
  • 7Lin Chang.Applying Data Mining to Predict College Admissions Yield:A Case Study[G]//Jing Luan &Chun-Mei Zhao.Data Mining in Action:Case Studies of Enrollment Management:New Directions for Institutional Research.San Francisco,USA:Jossey-Bass,2006.
  • 8Jing Luan.Data Mining and Its Applications in Higher Education[G] //Andreea M Serban and Jing Luan (eds.),Knowledge Management:Building a Competitive Advantage in Higher Education:New Directions for Institutional Research.San Francisco,USA:JosseyBass,2002.
  • 9Chris Dede &Jody Clarke.Data Mining as an Emerging Means of Assessing Student Learning[C].Presented at EDUCAUSE Annual Conference,2007.
  • 10National Survey of Student Engagement.Experience That Matters:Enhancing Student Learning and Success[R].2007.

共引文献409

同被引文献38

引证文献7

二级引证文献19

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部