大数据和学习分析在高校混合学习环境中的应用机理探究

Research on the application mechanism of big data and learning analysis in a blended learning environment of universities

混合学习环境在当前各个高校教学改革中得到重视并逐步推广,大数据和学习分析可用于构建混合学习环境。文章首先探讨了混合学习的概念和类型,然后以技术支持下的决策过程为主线分析了大数据分别与数据驱动决策及学习分析之间的关系,通过具体案例分析大数据和学习分析在当前高校混合学习环境中的应用效果,最后审视大数据和学习分析在未来混合学习环境中应用的基本要求。高校在教学改革和教育管理中应用大数据和学习分析时,应注意数据必须准确和及时,保护学生的隐私、安全和权利,强化训练具备丰富专业技能知识的数据库管理者。

More and more universities have paid attention to blended learning environment,big data and learning analysis can be used to construct blended learning environment.First of all,this paper discusses concepts and types of blended learning.Then the paper analyzes the relationship between big data and data-driven decision making,and the relationship between big data and learning analytics based on technology-supported decision-making processes.The paper analyzes the application effect of big data and learning analysis in current blended learning environment of universities through specific cases.Finally,the paper explores the basic requirements for application of big data and learning analytics in the future blended learning environment.When making use of big data and learning analytics in teaching reform and educational management,universities should pay attention to three aspects：the data must be accurate and timely;we should protect the privacy,security,and right of students;we must intensively train database administrators with rich professional skills and knowledge.