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基于大数据的师范生数据素养培养策略研究 被引量:20

Big Data-based Research on Cultivation Strategies of Normal Students' Data Literacy
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摘要 文章描述了在教育大数据的应用背景下师范生数据素养教育的新要求,通过分析当前国内外师范生数据素养教育的现状,指出数据意识、数据采集能力、数据分析能力、数据呈现能力、数据决策能力和数据伦理道德是构成教师数据素养的关键因素。通过制定教学标准、组建教学团队、革新教学内容、创设教学环境和教学实践反馈等措施构建师范生数据素养教育模式。最后指出,师范生数据素养培养是一个系统工程,是一个综合性较强的新兴教育研究课题,应当引起教育管理部门、学校及教师(师范生)等方面的足够重视,长期、持续地开展研究和实践,从而有效提升教师的数据素养。 This paper describes new requirements of data literacy education for normal students under the background of big data application in educational field. Through analyzing the present situation of the current data literacy education of normal students at home and abroad, it is pointed out that key factors of teachers' data literacy are composed of data awareness, the ability of data collection, data analysis, data presentation, data decision-making and data morality. By setting teaching standards, establishing teaching team, innovating teaching content, designing teaching environment and feedback of teaching practice, an educational mode of data literacy for normal students is constructed. Since the cultivation of normal students' data literacy is a systematic project, an emerging comprehensive educational research program,education management departments, schools and teachers(normal students) should attach great importance to carry out long-term and sustainable research and practice so as to improve teachers' data literacy effectively.
出处 《电化教育研究》 CSSCI 北大核心 2017年第12期86-91,120,共7页 E-education Research
基金 2016年度教育部-中国移动科研基金项目"国家教育大数据相关问题研究"(项目编号:MCM20160401) 国家自然科学基金青年项目"多场景网络学习中基于行为-情感-主题联合建模的学习者兴趣挖掘关键技术研究"(项目编号:61702207)
关键词 大数据 数据素养 师范生 培养策略 Big Data Data Literacy Normal Students Cultivation Strategies
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