交互课堂量化评优模型构建及应用

发布时间：2018-04-18 04:19

本文选题：课堂评价 + 教学交互　；参考：《现代远程教育研究》2015年05期

【摘要】：课堂评价是教学研究的永恒主题,教学交互是未来课堂的核心,客观评价课堂教学交互有助于掌握课堂教学质量和效果。当前采用数据挖掘技术对课堂进行量化评价的研究主要集中在高等学校,基础教育的课堂量化评价要么由专家借助评价指标完成,要么由教师观察师生课堂言语行为凭借公式判断,这些都有一定主观性和局限性。交互课堂教学评优工具的研究既可以促进平等教学竞争和教师专业发展,也可以挖掘有效教学交互的关键特征,改善课堂教学效果。基于交互白板课堂的量化评优模型,采用K-means算法,将有特征差异的全国中小学交互式电子白板学科教学大赛一等奖课堂实录编码结果进行聚类,把类中心与待测课堂实录编码数据做等级变量相关分析,依据变量相似程度实现对待测课堂实录优秀与否的判断。仿真实验结果表明,模型是有效的,且与传统方法相比,在非优秀课堂实录筛选和对比方面更具说服力。
[Abstract]:Classroom evaluation is the eternal theme of teaching research and teaching interaction is the core of future classroom. Objective evaluation of classroom teaching interaction is helpful to master the quality and effect of classroom teaching.At present, the research on quantitative evaluation of classroom by data mining technology is mainly focused on colleges and universities. The evaluation of classroom quantification of basic education is either completed by experts with the help of evaluation index.Either teachers observe the classroom speech acts of teachers and students by the formula judgment, these have some subjectivity and limitations.The research of interactive classroom teaching evaluation tools can not only promote equal teaching competition and teacher professional development, but also tap the key characteristics of effective teaching interaction and improve classroom teaching effect.Based on the quantitative evaluation model of interactive whiteboard classroom, K-means algorithm is used to cluster the first prize classroom record coding results of the interactive whiteboard teaching competition in primary and secondary schools.This paper analyzes the correlation between the class center and the class record coding data, and realizes the judgment of whether the classroom record is excellent or not according to the similarity degree of the variables.The simulation results show that the model is effective and more persuasive than the traditional methods in the selection and comparison of non-excellent classroom records.
【作者单位】：四川师范大学计算机科学学院;
【基金】：2013年度四川省哲学社会科学研究基地项目“支持教师专业发展的课堂观察工具研究”(TER2013-016) 2014年度四川省教育厅科研基金项目“CMC下高信度的内容分析法研究”(14ZB0031)
【分类号】：G434

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