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在线学习数据驱动的教学框架构建及教学对策

Construction of Teaching Framework Driven by Online Learning Data and Teaching Countermeasures
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摘要 利用Moodle在线平台数据,采用数据统计、数据可视化、聚类分析等方法,对学生在线学习行为进行探讨,构建出Moodle在线平台“三位一体”的教学服务框架。借助于在线平台数据,将学生的学习行为可视化,能够发现教学过程中所存在的问题,如教学资源配置欠佳;教师督学工作不到位;教学管理缺乏灵活性;学生处于被动学习状态,主观能动性未得到最大发挥。针对上述问题,提出具体的应对策略:优化教学资源;强化教学管理;引导学习者由被动学习转向主动学习。 Using the data of Moodle online platform,this paper studies students’online learning behavior by using the methods of data statistics,data visualization and cluster analysis.The research points out that the allocation of teaching resources is not ideal,the supervision of teachers is not sufficient,and the teaching effect has not achieved the expectation.The teaching management lacks flexibility,the role of guidance and assistance is not obvious,and the teaching quality has not been significantly improved.Students are in a state of passive learning,and their subjective initiative has not been brought into full play.This paper studies and constructs the Trinity teaching service framework of Moodle online platform,and points out that it is the key to the sustainable development of online teaching to visualize students’learning behavior,optimize teaching resources,strengthen teaching management,find effective teaching countermeasures and guide learners from passive learning to active learning.
作者 季晶静 Ji Jingjing(School of Chinese Language and Literature,Beijing Foreign Studies University,Beijing 10089,China)
出处 《现代语文》 2022年第1期75-82,共8页 Modern Chinese
关键词 Moodle学习平台 数据分析 学习行为 教学框架 对策 Moodle learning platform data analysis learning behavior teaching framework countermeasures
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