数据驱动教学:大数据时代教学范式的新走向

Data-driven Instruction: A New Trend of Teaching Paradigm in Big Data Era

大数据时代的教学范式正在从经验模仿和计算辅助教学走向数据驱动的教学。数据驱动教学的理论与实践探索在全球范围开始兴起,国际动态主要体现在数据驱动教学相关计划的启动与实施、数据驱动教学相关会议的召开、数据驱动教学模式的研究与应用以及教师数据素养教育的开展等四个方面。为促进国内数据驱动教学的发展,文章提出五条实施建议:开展数据素养专题培训,提高教师数据意识与数据处理能力;打造基于大数据的智慧学习平台,支撑教师开展数据驱动的精准教学;开展数据驱动教学示范项目,探索数据驱动教学新模式;构建数据驱动教学实践共同体,传播数据驱动教学文化;开展数据驱动教学专题研究,引领数据驱动教学持续深入发展。

The teaching paradigm in the era of big data is from experiential imitation and computer assisted teaching to data-driven instruction. The exploration of data-driven instruction in theory and practice is developing widely around the world. The international trends of data-driven instruction is mainly embodied in five aspects as follows： the initiation and implementation of related plans, the commencement of related conferences, the research and application of instructional modes, and the development of teacher＇s data literacy. In order to promote the development of data-driven instruction in China, this paper puts forward five suggestions： carrying out data literacy training to improve teachers＇ data awareness and data processing competence; building big data-based smart learning platforms to support teachers＇ precision teaching; implementing data-driven teaching demonstration projects to explore new teaching modes; constructing data-driven teaching community of practice to promote data-driven teaching culture; and carrying out data-driven research to lead its sustainable development.