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数学课程标准中的“大数据”:内容呈现、要点聚焦与实施建议

“Big Data”in Mathematics Curriculum Standards:Content Presentation,Key Points Focus and Implementation Suggestions
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摘要 为了适应大数据时代,数学课程标准进行了相应的修订.通过整理《普通高中数学课程标准(2017年版2020年修订)》和《义务教育数学课程标准(2022年版)》中呈现出的“大数据”内容,发现相关内容主要聚焦在课程性质、发展要求、知识关联、教学资源、信息技术5个要点上.结合数学课程标准中的“大数据”聚焦点,对中国数学课程建设提出4点建议:加强师生对“大数据”的两类价值认知;重点关注中学阶段的两个“大数据”关联点教学;为“大数据”课程实施做好3类资源服务;利用大数据手段升级教学活动与教师培训. In order to adapt to the era of big data,mathematics curriculum standards have been revised accordingly.By sorting out the“big data”content presented in the Mathematics Curriculum Standards for Ordinary High School(2017 edition,2020 revision)and Mathematics Curriculum Standards for Compulsory Education(2022 edition),it is found that the relevant content mainly focuses on five key points:curriculum nature,development requirements,knowledge connection,teaching resources,and information technology.Combining with the key points of“big data”in the mathematics curriculum standards,four suggestions are put forward for the construction of Chinese mathematics curriculum:Strengthen the teachers and students’cognition of two kinds of values of“big data”;Focus on the teaching of two“big data”connection points in middle school;Provide three kinds of resource services for the implementation of“big data”curriculum;Use big data to upgrade teaching activities and teacher training.
作者 李健 李海东 李文文 LI Jian;LI Hai-dong;LI Wen-wen(Curriculum and Teaching Materials Research Institute,People’s Education Press,Beijing 100081,China;School of Mathematical Science,Chongqing Normal University,Chongqing 401331,China)
出处 《数学教育学报》 北大核心 2024年第4期1-5,共5页 Journal of Mathematics Education
基金 2022年度教育部人文社科项目——减负提质背景下中小学生学习效率智能体检系统研发及应用研究(22YJC880025)。
关键词 数学课程标准 大数据 课程改革 建议 mathematics curriculum standards big data curriculum reform suggestions
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