从“基于经验”到“数据驱动”:大数据时代教师教学决策的新样态  

From “Experience-based” to “Data-driven”:The New Modality of Teachers' Decision-making in the Era of Big Data

作　　者：邹逸[1] 殷玉新[2] ZOU Yi;YIN Yu-xin(School of Teacher Education, East China Normal University;Institute of Curriculum and Instruction, East China Normal University)

机构地区：[1]华东师范大学教师教育学院 [2]华东师范大学课程与教学研究所,上海200062

出　　处：《教育理论与实践》2018年第13期52-56,共5页Theory and Practice of Education

基　　金：浙江省哲学社会科学规划课题"基于浙江省特级教师群体的好教师成长机制研究"(课题编号:18NDJC099YB)的部分研究成果

摘　　要：大数据的深度嵌入重塑着教育领域的日常实践与意义生成,促使教师教学决策从"基于经验"向"数据驱动"转变。学界积极探索"数据驱动"型教师教学决策的实践模式,美国哈佛大学提出的DWIP模型便是其中的典型。推进"数据驱动"型教师教学决策改革需从政策引领、教师数据素养培育、数据团队建设、数据支持系统构建等方面协调展开。The deep embedding of big data in education is reshaping its daily practice and meaning creation, which promotes the paradigm of teachers＇ decision-making to change from ＂experience-based＂ to ＂data-driven＂. The academic circle is actively exploring the practice mode of data-driven teachers＇ decision-making,with the DWIP（the Data Wise Improvement Process ）model proposed by Harvard University being a typical example. To promote the reform of ＂data-driven＂ teachers＇ decision-making,we need to coordinate the policy guidance,teachers＇ data literacy cultivation, data team building and data support system construction.

关 键 词：大数据时代 教师教学决策 基于经验 数据驱动 

分 类 号：G420[文化科学—课程与教学论]