大数据诱发教学深度变革的实现方式

发布时间：2018-01-30 20:23

本文关键词： 大数据教学变革实现方式个性化学习　出处：《中国教育学刊》2017年09期 　论文类型：期刊论文

【摘要】：大数据诱发了教学思维和教学结构的深度变革。为了有效地实现大数据诱发的教学深度变革,探寻促进大数据与教学活动深度融合的契合点,以此明晰利用大数据诱发教学深度变革的支持条件:挖掘大数据深度描绘师生教学行为、建设富有教育价值的大数据教学资源、培育和谐共生的大数据教学文化。基于教师利用大数据引导学生实现个性化学习的立场,挖掘大数据的教学价值,在实践层面系统地提出大数据诱发教学深度变革的策略,即教学目标的精准化确立、教学内容的全景式选择与认知化组织、教学方法的针对性选用、教学组织形式的混合式实现和教学模式的个性化构建。
[Abstract]:Big data induces the deep transformation of teaching thinking and teaching structure. In order to effectively realize the teaching depth change induced by big data, the author explores the point of convergence between big data and teaching activities. In this way, it is clear that the supporting conditions of the deep reform of teaching induced by big data are: excavating big data to depict the teaching behavior of teachers and students in depth, and constructing the teaching resources of big data which are full of educational value. Cultivate a harmonious and symbiotic big data teaching culture. Based on the position that teachers use big data to guide students to realize individualized learning, explore big data's teaching value. On the practical level, the paper systematically puts forward the strategies that big data induces the reform of teaching depth, that is, the precise establishment of teaching objectives, the panoramic selection and cognitive organization of teaching contents, and the targeted selection of teaching methods. The mixed realization of teaching organization form and the individualized construction of teaching mode.
【作者单位】：西南大学基础教育研究中心、中国基础教育质量监测协同创新中心西南大学分中心;
【基金】：国家留学基金委员会留学基金资助项目“新媒体时代课堂教学改革与创新研究”(项目编号:留金发[2016]3035)阶段性研究成果
【分类号】：G420
【正文快照】： 王天平|西南大学基础教育研究中心、中国基础教育质量监测协同创新中心西南大学分中心副教授(重庆400715)。在“互联网+”、云技术等的支撑下,大数据以慕课、翻转课堂、微课程、自媒体教学等多种形态冲击和变革教学活动。对于被赋予独特社会职能的教学活动,大数据实质上从哪些

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