首页|数学课程标准中的"大数据":内容呈现、要点聚焦与实施建议

数学课程标准中的"大数据":内容呈现、要点聚焦与实施建议

扫码查看
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.
"Big Data"in Mathematics Curriculum Standards:Content Presentation,Key Points Focus and Implementation Suggestions
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.

mathematics curriculum standardsbig datacurriculum reformsuggestions

李健、李海东、李文文

展开 >

人民教育出版社 课程教材研究所,北京 100081

重庆师范大学 数学科学学院,重庆 401331

数学课程标准 大数据 课程改革 建议

2022年度教育部人文社科项目

22YJC880025

2024

数学教育学报
天津师范大学 中国教育学会

数学教育学报

CSTPCD北大核心
影响因子:2.296
ISSN:1004-9894
年,卷(期):2024.33(4)
  • 12