为实现从主观经验判断的高考研究走向客观科学规范的技术型研究的转型,提出了大数据挖掘高考化学信息的三步技术操作:一拆分,有效纯化和提取高考试题信息源;二重整,归类重组拆分后的高考试题,实现对高考知识与能力要求的重整;三建模,为重要的重整试题建模。为实现信息的有效利用,提出以重整试题为基础,进行分解训练,分步掌握,螺旋上升;用模型试题培养能力,将重点和难点落到实处的训练方法,并实施“掌握学习”下的个性化复习教学策略。 In order to realize the transition from entrance examination of subjective experience judgment to technical research of objective and scientific norm, a three-step technical operation of big data mining on chemical information entrance examination is put forward: a split, effectively purifying and extracting information source of entrance exam questions; , Classified reorganization of the split college entrance examination questions, to achieve the knowledge and ability of college entrance examination reorganization; three modeling, modeling for the important reform questions. In order to realize the effective use of information, we put forward the method of disassembly training, step-by-step mastery and spiral aspirations based on the reforming examination questions. We should train the ability with the model test questions, put the training methods of stressing and solving the problems, "Under the personalized review teaching strategy.