基于大数据分析的课堂教学诊改研究

Research on classroom teaching diagnosis reform based on Big Data analysis

教育部指出,教学诊改工作要常态化、多层面、多维度,要充分利用信息技术,而课堂教学是教学诊改的重要一环。当前,教学诊改指标大多以终结性评价为主,缺乏对课堂教学等过程性评价,评价指标不够科学合理。文章针对存在的不足,构建大数据分析框架,提出课堂教学的维度和度量评价指标,建立常态化课堂教学诊改机制,开展课堂教学过程多维度分析评价,为教学诊改提供决策支持,从而提升教学诊改的质量。

The Ministry of Education pointed out that the teaching diagnosis reform work should be normalized,multi level and multi-dimensional,and make full use of information technology.Classroom teaching is an important part of teaching diagnosis reform.At present,most of the teaching diagnosis reform indexes are summative evaluation,lack of classroom teaching and other process evaluation,and the evaluation indexes are not scientific and reasonable.In view of the existing shortcomings,this paper constructs a Big Data analysis framework,proposes dimensions and measurement evaluation indexes of classroom teaching,establishes a normalized classroom teaching diagnosis reform mechanism,carries out multi-dimensional analysis and evaluation of classroom teaching process,provides decision support for teaching diagnosis reform,so as to improve the quality of teaching diagnosis reform.