大数据背景下高校翻转课堂学习评价的研究——以A校“工程热力学”课程为例

Research on the Evaluation of College Flipped Classroom Learning in the Context of Big Data

大数据时代的到来促进了信息技术与教育教学的深度融合,翻转课堂、慕课和微课成为新形势下高校教学模式改革的重要趋势,这也对学习评价提出了更高的要求。本研究立足于大数据为高校课堂学习评价带来的新机遇,构建了大数据背景下的高校翻转课堂学习评价指标体系,以A校"工程热力学"课程开展教学实践,运用层析分析法和模糊评价法进行实证研究,实现了对学生的个性化评价。

The era of big data has promoted the deep integration of information technology and the education,and the flipped classroom,MOOC and micro-class have become an important trend for colleges to reform the teaching mode,which put forward higher requirements for the learning evaluation.Based on the new opportunities brought by the big data to classroom learning evaluation,this paper constructs the learning evaluation index system of flipped classroom in the context of big data.By conducting teaching practice in the class of ＂Engineering Thermodynamics＂ in A university,this paper uses AHP and fuzzy evaluation method to carry out empirical research to achieve personalized evaluation on students.