基于“互联网+”的高校课堂教学大数据探究  

The Research to Big Data of Classroom Teaching in College Based on Internet Plus

作　　者：何孟杰[1] 

机构地区：[1]厦门大学嘉庚学院,福建漳州363105

出　　处：《现代教育管理》2016年第10期103-107,共5页Modern Education Management

基　　金：福建省教育厅择优推广计划"‘马克思主义基本原理’课程案例教学研究与实施"(ZYP201414)

摘　　要：评学、评教等课堂教学数据失真动摇了高校教学质量保障的基础。评学失真的主要原因包括课堂教学数据采集难、共享难、检验难;"严师低评"等学生评教失真主要受到"一票否决"效应等的影响。建立"互联网+"课堂教学管理系统,在学生座位管理基础上集成出勤管理、课堂表现管理、作业管理等,可高效、精确、实时地采集多方位的课堂教学大数据。应用数据的多级共享、分层检测、挖掘分析等方法,可较为有效地解决评学、评教失真问题,激励教师与引导学生共同提高教学质量。The distortion of classroom instruction data,which includes student evaluations data and teacher evaluations data,has shaken the foundation of teaching quality assurance. The distortion of student evaluations data mainly because of these data are difficult to collect,to share and to test. The data distortion evaluation of teachers such as＂low rating to stringent teacher＂is mainly influenced by the effect of＂veto power＂of students. To solve these problems,we have created a classroom teaching management system based on Internet plus. This system combines a variety of functions such as seat management,attendance management,performance management,homework management,it can gather multiple types of big data of classroom teaching with efficient,accurate and timely.We can more effectively address the problem of distortion of student evaluations data and of teacher evaluations data,and encourage teachers and students to improve the quality of teaching by using the method of multi-level shared data,hierarchical detection data and mining analysis data.

关 键 词：评学失真 评教失真 互联网+ 大数据 

分 类 号：G642.0[文化科学—高等教育学]