在1000米教学中,运用“大数据”思维进行统计和分析,即在潜在的动态指标中,选择、对比、分析、判断、猜测、排除、定位、评估、定量、组合数据,并反馈给学生,不仅让学生清楚自己的得失原因,也能够让教师反思一节课的成功之处与改进方向。“大数据”思维下对数据的处理主要包括数据的采集、导入、统计分析、价值的挖掘等四个步骤。一、数据采集教学中,教师对于1000米数据的采集,往往仅是针对学生每一次测试的成绩,而运 In the teaching of 1000 meters, we use “Big Data” to make statistics and analysis, that is, select, compare, analyze, judge, guess, exclude, locate, evaluate, quantify and combine the data in the potential dynamic indicators and feedback To students, not only let students know their own reasons for success, but also allow teachers to reflect on the success of a lesson and improve the direction. “Big Data ” thinking under the thinking of the data processing includes data collection, import, statistical analysis, value mining and other four steps. First, the data acquisition teaching, teachers for 1000 meters of data collection, often only for the results of each student test, and Yun