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机构地区:[1]四川师范大学计算机科学学院
出 处:《现代远程教育研究》2015年第5期104-112,共9页Modern Distance Education Research
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)
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。Classroom evaluation is the eternal subject of teaching research. And interactive teaching is the core of the future classroom. The objective evaluation of interactive classroom teaching helps to promote the teaching effect. At present, the research on quantitative evaluation based on data mining were mainly in the university and rarely in the elementary education. The elementary education classroom evaluation depended on either specialists with evaluation index or teachers with observing formula, which is subjective and limited in a certain degree. The research on tools which used in the interactive classroom evaluation could promote the equal teaching competition, the professional development of teachers and the improvement of classroom teaching effect. Furthermore, it could mine the key interactive features during teaching. This quantitative appraising model, based on the interactive whiteboard classroom teaching, used the k-means algorithm to cluster the first prize works in the national primary and secondary schools interactive whiteboard classroom teaching competition into several categories and the cluster-centers and unknown-level classroom records were used to do the correlation analysis. If they are similar, it can be inferred that the unknown-level records were excellent too. The results showed that this model was effective, and it was more convincing than the traditional method in comparing one non-excellent classroom record with another one.
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