基于课程标准的个性化学情诊断方法  

Personalized Learning Diagnosis Method Based on Benchmarking Evaluation

作　　者：兰晓红[1] 潘菊 陈富烊 LAN Xiaohong;PAN Ju;CHEN Fuyang(Chongqing Normal University,Chongqing 401331,China)

机构地区：[1]重庆师范大学计算机与信息科学学院,重庆401331

出　　处：《中国考试》2022年第3期32-36,共5页journal of China Examinations

基　　金：重庆市教育科学“十三五”规划课题“基于学科竞赛和专业技能有机结合的创新创业教育模式研究与实践”(2019-GX-329)。

摘　　要：个性化作业布置是“双减”政策下实现减负提质的有效方式,个性化学情诊断是个性化作业设计的依据。通过分析学科课程标准,为其建立课程标准知识点库,采用图像采集设备输入学生答卷,调用OCR图文识别算法进行答卷识别,构建答卷数学模型,并与课程标准知识点库进行比对分析,生成个性化答卷学情诊断报告,为学生制订个性化弹性学习计划提供数据支撑。Personalized homework assignment is an effective way to reduce students’burden and improve education quality under the“double reduction”policy.Personalized learning diagnosis is the basis of personalized homework design.Students’examination papers contain rich personalized academic information.A knowledge point library is established by analyzing the subject curriculum standards.Students’examination papers are then input using image acquisition devices and recognized by the OCR graphic recognition algorithm.Mathematical models of the examination papers are constructed and compared with the knowledge point library of the curriculum standards,based on which a personalized examination paper academic diagnosis report is generated to objectively evaluate the examinee’s mastery of subject knowledge and provide data support for the examinee to formulate a personalized and flexible learning plan.

关 键 词：课程标准 试卷分析 学情诊断 “双减”政策 

分 类 号：G405[文化科学—教育学原理]