大数据时代大学课堂教学模式面临的挑战与变革

发布时间：2018-05-31 17:41

本文选题：大数据技术 + 大学　；参考：《电化教育研究》2017年08期

【摘要】：文章从大数据的角度,运用规范分析方法 ,在深入分析大数据特殊形态和功能的基础上,系统研究了大数据技术对大学课堂教学模式带来的挑战及问题,并提出变革传统大学课堂教学模式的策略。研究发现:大数据具有数据量大、处理速度快、类型多样、真实性强、能够创造价值等特点,在数据管理能力和数据兼容性、精准判断与预测、直观的数据信息分享等方面具有独特的功能,会在教育教学理念、教师教育教学能力、教师教育教学方式、教育教学资源配置等方面对传统大学课堂教学产生影响。为了充分适应和有效利用大数据技术,大学课堂教学活动需要从知识传授走向知识共享,从个体经验操作走向智能系统集成,由经验式教育走向技术性教学。
[Abstract]:From the point of view of big data, using the method of normative analysis, on the basis of deeply analyzing the special form and function of big data, this paper systematically studies the challenges and problems brought by big data technology to college classroom teaching mode. And put forward the strategy of reforming the traditional college classroom teaching mode. The research found that big data has the characteristics of large amount of data, fast processing speed, diverse types, strong authenticity, ability to create value, and so on, in data management ability and data compatibility, accurate judgment and prediction, etc. Intuitionistic data and information sharing has a unique function, which will have an impact on traditional college classroom teaching in the aspects of educational concept, teachers' teaching ability, teachers' education and teaching methods, and the allocation of educational and teaching resources. In order to fully adapt and effectively utilize big data technology, college classroom teaching activities need to change from knowledge teaching to knowledge sharing, from individual experience operation to intelligent system integration, and from experiential education to technical teaching.
【作者单位】：陕西师范大学教育学院;西安交通大学高等教育研究所;
【基金】：全国教育科学“十二五”规划课题(教育部青年)“区域创新背景下地方高校转型发展的政策供给与需求研究”(课题编号:EIA150412)
【分类号】：G434;G642.4

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