高职光伏发电工程技术云班课课堂教学诊断研究  

Research on Teaching Diagnosis of Photovoltaic Power Generation Engineering Technology Cloud Class in Higher Vocational Education

作　　者：詹新生[1] 林蒙丹[1] 张江伟[1] ZHAN Xinsheng;LIN Mengdan;ZHANG Jiangwei

机构地区：[1]徐州工业职业技术学院,221140

出　　处：《中国教育技术装备》2020年第14期108-111,共4页China Educational Technology & Equipment

基　　金：2018年江苏省高校哲学社会科学研究资助项目“基于移动终端的蓝墨云班课教学策略研究”(项目编号:2018SJA1029)。

摘　　要：智能手机的普及应用为线上学习提供了可能。以高职光伏发电工程技术课程采用云班课教学为例,分析基于大数据的课堂教学诊断的内涵,探讨如何根据学生使用移动终端的学习轨迹、学习行为,进行大数据采集、分析,对教学情况进行诊断,提升教学过程评价的科学性,促进教学质量的提高。The popularity of smart phones makes online learning possible.This paper takes cloud class teaching of photovoltaic power generation engineering technology as an example,analyzes the connotation of classroom teaching diagnosis based on big data,discusses how to use mobile terminal according to the students’learning path and learning behavior,conducts big data collection and analysis,diagnoses the teaching situation,improves the scientifi city of teaching process evaluation,and ultimately improve the teaching quality.

关 键 词：云班课 教学诊断 大数据 光伏发电工程技术 

分 类 号：G712[文化科学—职业技术教育学]