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大数据背景下高职学生自主学习策略探析
引用本文:吴晓凤.大数据背景下高职学生自主学习策略探析[J].天津职业院校联合学报,2020(3):39-43.
作者姓名:吴晓凤
作者单位:天津商务职业学院
基金项目:天津职业教育与成人教育学会2019科研项目“大数据环境下个性化学习和课堂教学策略研究”(课题批准号:XHXB2019B060)阶段性成果。
摘    要:大数据时代,信息和数据结构的发展,对教育领域产生了重要影响力,如弥合区域间高等教育资源配置,促进教育平等,满足学习者多样化的需求,提升了教育的社会化服务,使教育规模化和个性化的达到了统一。大数据教育资源的使用提供了改变学生需求的新模式,学习模式不再限于空间和时间;运用教育大数据提供的服务,构建出的基于信息数据的自主学习环境,不仅培养学生自主学习习惯,提升大学生学习兴趣,更为学生的自主学习营造了智慧化的环境。

关 键 词:大数据  自主学习  动态监督机制

Discussion on Autonomous Learning Strategy of Higher Vocational Students in the Context of Big Data
WU Xiao-feng.Discussion on Autonomous Learning Strategy of Higher Vocational Students in the Context of Big Data[J].Journal of Tianjin Vocational Institutes,2020(3):39-43.
Authors:WU Xiao-feng
Institution:(Tianjin College of Commerce,Tianjin 300350)
Abstract:In the era of big data,the development of information and data structure has exerted an important influence on the field of education,for example,bridging the allocation of higher education resources in different regions,promoting the equality of education,meeting the diversified demands of learners,improving the socialized service of education,to realize the unification of education scale and individuation.With the use of big data education resources,a new model to change the student needs has been provided,and the learning model is not limited to space and time anymore;the information data-based autonomous learning environment built by use of the service provided by education big data can help to develop the students’autonomous learning habits,and improve the learning interest of college/university students,and it provides an intelligent environment for the students’autonomous learning.
Keywords:Big data  autonomous learning  and dynamic monitoring mechanism
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