Modelling with data: Advancing STEM in the primary curriculum

数据建模：在小学课程中推进 STEM

• 批准号: DP150100120
• 负责人: Prof Lyn English
• 金额: $ 41.99万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-04-02 至 2020-04-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP150100120
• 关键词: Modelling; data; Advancing; STEM; primary

Improving the nation's skills in Science, Technology, Engineering, and Mathematics (STEM) remains a continuing concern, especially given the decline in international test results. The project aims to introduce a new approach to promoting this learning across grades 3-6 through modelling with data. With a focus on inquiry processes involving data variation and uncertainty within STEM-based contexts, the project aims to develop the important mathematical and statistical literacies needed for lifting student achievements. In advancing both theory and practice, the project aims to contribute to knowledge of primary students' capabilities for STEM problem solving and ways of enhancing implementation of the Australian Curriculum.

提高国家在科学、技术、工程和数学（STEM）方面的技能仍然是一个持续的问题，特别是考虑到国际考试成绩的下降。该项目旨在采用一种新的方法，通过数据建模促进3-6年级的这种学习。该项目的重点是涉及STEM背景下数据变化和不确定性的查询过程，旨在培养提升学生成绩所需的重要数学和统计知识。在推进理论和实践方面，该项目旨在帮助了解小学生解决STEM问题的能力以及加强澳大利亚课程实施的方法。