利用大数据分析优化混合式教学模式的策略研究

Research on Strategies for Optimizing Blended Teaching Mode by Using Big Data Analysis

为响应教育部深化信息技术助力推进教育教学改革的要求,借助大数据应用技术对现有的混合式教学的教学流程提供优化支持是一项具有实践指导意义的研究。介绍了缺乏大数据分析情况下教学过程存在的主要问题,分析了大数据技术与混合式教学之间的联系;提出了利用大数据的统计分析重构混合式教学模式的教学设计,形成以学生为中心的混合式教学模式的课程数据链,改进和优化课程的教学策略;通过教学评价与反馈的数据证明了优化实施的效果比较理想,从而体现了精准教学和多维度的教学评价。

In response to the requirements of the Ministry of Education to deepen the education and teaching reform boosted by information technology, it is a research with practical guiding significance to provide optimized support for the teaching process of the existing hybrid teaching with the help of big data application technology. The article introduces the main problems in the teaching process in the absence of big data analysis, and analyzes the connection between big data, proposes the use of statistical analysis of big data to reconstruct the teaching design of the blended teaching mode, forming a student-centered curriculum data link of the blended teaching mode, and improving and optimizing the teaching strategy of the curriculum. The data of teaching evaluation and feedback proves that the effect of optimization implementation is ideal, which reflects the precision teaching and multi-dimensional teaching evaluation.