Making Sense of Models: Investigating Mechanistic Reasoning as a Bridge for Connecting 6th Grade Mathematics and Science Learning

理解模型:研究机械推理作为连接六年级数学和科学学习的桥梁

基本信息

  • 批准号:
    1934126
  • 负责人:
  • 金额:
    $ 172.16万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-01-01 至 2024-12-31
  • 项目状态:
    已结题

项目摘要

This project addresses the following problem of practice: Middle school science teachers find that they have to reteach mathematics concepts to prepare their students to use and analyze computer models of scientific phenomena in their science classes, which takes some significant time away from instruction. Some of them find that students do not know why mathematics is useful and how it can be applied in science contexts. Modeling has also become an increasingly emphasized component of both the Common Core State Standards in Mathematics and the Next Generation Science Standards. This project will address these concerns by focusing on mechanistic reasoning in an agent-based modeling environment appropriate for 6th grade mathematics and science classes. Mechanistic reasoning involves creating entities and understanding interactions that produce an end state or change of state and explain how and why something works or generates a phenomenon. The research component of the project will fill a gap in computational thinking (CT) integration literature by investigating how programing solutions to mathematical problems can simultaneously reinforce mathematical concepts and prepare students for scientific modeling. Furthermore, the project will: support the participation of underrepresented groups in mathematics, computer science, and scientific modeling; contribute to breaking down of siloed disciplines within middle school; enhance infrastructure for research and education through the co-design of multidisciplinary curriculum spanning math and science classrooms; and develop a curriculum that prepares students for future endeavors in STEM and CT.The project will develop and implement a multidisciplinary CT program that uses computer modeling activities to form a bridge that connects regular school day mathematics and science learning. Sixth grade students and their teachers in three districts will learn to use CT and mechanistic reasoning in mathematics classes and then apply those skills in decoding and modifying scientific models in science classes. The research objectives of the project are as follows: (1) Conduct design-based research cycles to develop a math and science CT curriculum for 6th grade students; (2) Develop, test and refine a year-long teacher professional development program that supports teacher learning and implementation of the integrated curriculum; and (3) Conduct a mixed-methods study on the impact of the integrated curriculum on student learning, teacher and student perception of math and CT, and the role of mechanistic reasoning in CT. The project will employ a design collaborative between teachers and the project team, which will provide support for the workshops, teacher professional development, and the development of a teacher facilitation model. A quasi-experimental study and case studies will be used to test the hypothesis that mechanistic reasoning is a necessary skill that enables students to link abstraction and automation when they create computational artifacts and engage in analysis when they decode computational models.The project is funded by the STEM + Computing Program, which seeks to study the applied integration of computational thinking and computing within disciplinary STEM teaching and learning in early childhood education through high school.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目解决了以下实践问题:中学科学教师发现他们必须重新教授数学概念,以使学生做好在科学课上使用和分析科学现象的计算机模型的准备,这会占用大量的教学时间。他们中的一些人发现学生不知道数学为何有用以及如何将数学应用到科学环境中。建模也已成为数学共同核心国家标准和下一代科学标准中日益强调的组成部分。该项目将通过专注于适合六年级数学和科学课程的基于主体的建模环境中的机械推理来解决这些问题。机械推理涉及创建实体和理解产生最终状态或状态变化的相互作用,并解释某些事物如何以及为何起作用或产生现象。该项目的研究部分将通过研究数学问题的编程解决方案如何同时强化数学概念并为学生进行科学建模做好准备,从而填补计算思维(CT)集成文献的空白。此外,该项目将: 支持代表性不足的群体参与数学、计算机科学和科学建模;有助于打破中学内孤立的学科;通过共同设计涵盖数学和科学课堂的多学科课程,加强研究和教育基础设施;并开发一门课程,为学生未来在 STEM 和 CT 领域的努力做好准备。该项目将开发和实施一个多学科 CT 项目,该项目使用计算机建模活动,形成连接日常数学和科学学习的桥梁。三个学区的六年级学生及其老师将在数学课上学习使用计算机断层扫描和机械推理,然后在科学课上应用这些技能来解码和修改科学模型。该项目的研究目标如下:(1)进行基于设计的研究周期,为六年级学生开发数学和科学CT课程; (2) 制定、测试和完善为期一年的教师专业发展计划,以支持教师学习和综合课程的实施; (3)对综合课程对学生学习的影响、教师和学生对数学和计算机科学的认知以及机械推理在计算机科学中的作用进行混合方法研究。该项目将采用教师和项目团队之间的设计协作,这将为研讨会、教师专业发展和教师促进模型的开发提供支持。将使用准实验研究和案例研究来检验这样的假设:机械推理是一项必要技能,使学生能够在创建计算工件时将抽象和自动化联系起来,并在解码计算模型时进行分析。该项目由STEM + 计算项目,旨在研究计算思维和计算在幼儿教育到高中的学科 STEM 教学和学习中的应用整合。该奖项反映了 NSF 的法定使命,并通过评估被认为值得支持基金会的智力价值和更广泛的影响审查标准。

项目成果

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Irene Lee其他文献

Complexity, Emergence and Pathophysiology: Using Non-Adaptive Inflammatory Response
复杂性、出现和病理生理学:使用非适应性炎症反应
  • DOI:
    10.1007/978-3-540-35866-4_6
  • 发表时间:
    2006
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    G. An;Irene Lee
  • 通讯作者:
    Irene Lee
Children as creators, thinkers and citizens in an AI-driven future
儿童作为人工智能驱动的未来的创造者、思想家和公民
An Effectiveness Study of Teacher-Led AI Literacy Curriculum in K-12 Classrooms
K-12 课堂中教师主导的人工智能素养课程的有效性研究
Mitochondrial ATP-Dependent Lon Protease
线粒体 ATP 依赖性 Lon 蛋白酶
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jae Lee;Venkatesh Sundararajan;Irene Lee;C. Suzuki
  • 通讯作者:
    C. Suzuki
Towards the control of intracellular protein turnover: mitochondrial Lon protease inhibitors versus proteasome inhibitors.
控制细胞内蛋白质周转:线粒体 Lon 蛋白酶抑制剂与蛋白酶体抑制剂。
  • DOI:
    10.1016/j.biochi.2007.10.010
  • 发表时间:
    2008-02-01
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    A. Bayot;N. Basse;Irene Lee;M. Gareil;B. Pirotte;A. Bulteau;B. Friguet;M. Reboud
  • 通讯作者:
    M. Reboud

Irene Lee的其他文献

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{{ truncateString('Irene Lee', 18)}}的其他基金

Mechanism for the selection of undamaged physiological substrates by the ATP-dependent protease Lon
ATP依赖性蛋白酶Lon选择未受损生理底物的机制
  • 批准号:
    2210869
  • 财政年份:
    2022
  • 资助金额:
    $ 172.16万
  • 项目类别:
    Standard Grant
Everyday AI for Youth: Investigating Middle School Teacher Education, Classroom Implementation, and the Associated Student Learning Outcomes of an Innovative AI Curriculum
青少年的日常人工智能:调查中学教师教育、课堂实施以及创新人工智能课程的相关学生学习成果
  • 批准号:
    2048746
  • 财政年份:
    2021
  • 资助金额:
    $ 172.16万
  • 项目类别:
    Standard Grant
EAGER: Developing AI Literacy Interventions to Teach Fundamental Concepts in AI
EAGER:开发人工智能素养干预措施来教授人工智能的基本概念
  • 批准号:
    2022502
  • 财政年份:
    2020
  • 资助金额:
    $ 172.16万
  • 项目类别:
    Standard Grant
Activity Probes to Monitor ATP-Dependent Proteolysis
用于监测 ATP 依赖性蛋白水解作用的活性探针
  • 批准号:
    1507792
  • 财政年份:
    2015
  • 资助金额:
    $ 172.16万
  • 项目类别:
    Continuing Grant
Chemical Biology of Energy-Dependent Proteolysis in Mitochondria
线粒体能量依赖性蛋白水解的化学生物学
  • 批准号:
    1213175
  • 财政年份:
    2012
  • 资助金额:
    $ 172.16万
  • 项目类别:
    Continuing Grant
Strategies: GUTS y Girls
策略:胆量与女孩
  • 批准号:
    1031421
  • 财政年份:
    2010
  • 资助金额:
    $ 172.16万
  • 项目类别:
    Standard Grant
Mechanism of ATP-Dependent Proteolysis by Lon Protease
Lon 蛋白酶的 ATP 依赖性蛋白水解机制
  • 批准号:
    0919631
  • 财政年份:
    2009
  • 资助金额:
    $ 172.16万
  • 项目类别:
    Continuing Grant
NSFAYS Project GUTS: Growing Up Thinking Scientifically
NSFAYS 项目 GUTS:科学思考成长
  • 批准号:
    0639637
  • 财政年份:
    2007
  • 资助金额:
    $ 172.16万
  • 项目类别:
    Standard Grant

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