Collaborative Research: An Equity-Focused Approach to Integrating Physical Activity and CS Education for K-8 Learners

合作研究：一种以公平为中心的方法，将 K-8 学习者的体育活动和计算机科学教育结合起来

• 批准号: 2031498
• 负责人: Christine Julien
• 金额: $ 25.5万
• 依托单位: University of Texas at Austin
• 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: 2020-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2031498&HistoricalAwards=false
• 关键词: Collaborative; Research; Equity; Focused; Approach

This project brings instruction in computing and data science to an elementary school with a predominantly Hispanic population through Project SMART, a digital educational game that uses students’ in-school physical activity to motivate student learning. Students record their physical activity during the school day, whether in physical education class, at recess, or at other teacher-provided opportunities for physical activity. An elementary school class plays collaboratively; the physical activity of all the students in the class is converted to a distance traveled along an extended virtual journey. The learning modules are defined by teachers and directly connected to the core curriculum. Key to the approach is that the computational learning activities provided introduce data collection, analysis, and prediction questions using the students’ own physical activity data. As such, the project explores research questions that are advancing the field's understanding about how to engage students in computer science. It also is investigating whether students are more engaged in, motivated by, and successful at computational thinking learning objectives if these objectives relate to data that is relevant to them: their physical activity, their interests, their environment, and, importantly, their own collected data.This project expands and strengthens the Project SMART researcher-practitioner partnership (RPP), engaging researchers and teachers in collaborative efforts to identify strategies for computer science and computational thinking instruction that engages an elementary student population and addresses instructional challenges. These challenges include pressures to adhere to state standards that make it difficult to integrate additional content, a lack of at-home internet infrastructure that limits out-of-school student engagement, and teachers' lack of experience with and confidence in computer science content knowledge. Conjectures that orient the research plan explicate a premise that contextualizing computer science within the students' own physical activity during the regular school day as an integrated core subject lesson will help to address these challenges. In addition to advancing the field's understanding of a contextualized approach to data science instruction, this project also creates shareable learning modules that present data science learning activities that use the students' own physical activity to enable data modeling and prediction; guide students in hardware-software co-design to create wearable physical activity monitors that can improve data collection; and enable students to write code that extends the functions available in the game. This project is funded by the CS for All: Research and RPPs program.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.

该项目通过Project Smart Project Smart（一种数字教育游戏）将计算和数据科学方面的指导带给了一所主要是西班牙裔人口的小学，该游戏利用学生的校内体育活动来激励学生学习。学生在上学期间记录他们的体育活动，无论是在体育课上，休假还是在其他教师提供的体育活动机会中。小学课程合作；班上所有学生的体育锻炼都转换为沿着延长的虚拟旅程传播的距离。学习模块是由教师定义的，并直接连接到核心课程。方法的关键是，提供的计算学习活动使用学生自己的体育活动数据介绍数据收集，分析和预测问题。因此，该项目探讨了研究问题，这些问题正在推进该领域对如何使学生参与计算机科学的理解。它还正在调查学生是否更多地参与计算思维学习对象，如果这些目标与与他们相关的数据有关：他们的身体活动，他们的兴趣，他们的环境，环境，以及重要的是，他们自己收集的数据。该项目扩展并实现了项目智能研究人员的努力和计算的策略努力，以识别策略的努力，以识别策略的努力，以识别策略的努力，以识别策略的努力，以识别策略的努力，使得策略与策略进行策略，以实现策略的工程。基础学生人数并应对教学挑战。这些挑战包括遵守州标准的压力，这些标准使得难以整合其他内容，缺乏局限性的互联网基础架构，这些基础架构限制了校外学生的参与度，以及教师对计算机科学内容知识的缺乏经验和信心。猜想将研究计划定向的猜想明确了一个前提，即在正常的上学日，学生在学生自己的体育活动中的计算机科学作为综合学科课程将有助于应对这些挑战。除了促进该领域对数据科学教学的上下文化方法的理解外，该项目还创建了可共享的学习模块，以提出数据科学学习活动，这些学习活动利用学生自己的体育活动来启用数据建模和预测；指导软件软件共同设计的学生创建可穿戴的体育活动监测器，以改善数据收集；并使学生能够编写扩展游戏中可用功能的代码。该项目由CS资助All：Research and RPPS计划。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响评估标准来评估，被认为是珍贵的支持。

项目成果

Integrating Computer Science and Physical Education in Elementary Schools with Data Science Learning Modules Using Wearable Microcontrollers

使用可穿戴微控制器将小学计算机科学和体育与数据科学学习模块相结合

• DOI: 10.1109/mass56207.2022.00105
• 发表时间: 2022
• 期刊: 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS
• 作者: Jeong, Hyun;Payton, Jamie;Julien, Christine;Castelli, Darla
• 通讯作者: Castelli, Darla

Linking Learning Fundamental Reinforcement Learning Concepts with Being Physically Active

将学习基本强化学习概念与身体活动联系起来

• DOI: 10.1145/3545947.3576316
• 发表时间: 2022
• 期刊: ACM
• 作者: Annaluru, Ramakrishna Sai;Julien, Christine;Payton, Jamie
• 通讯作者: Payton, Jamie

Project moveSMART: When Physical Education Meets Computational Thinking in Elementary Classrooms

moveSMART 项目：当小学课堂中体育遇到计算思维

• DOI: 10.1109/mc.2022.3167600
• 发表时间: 2022
• 期刊: Computer
• 影响因子: 2.2
• 作者: Fritz, Connor;Bray, Dylan;Lee, Grace;Julien, Christine;Burson, Sheri;Castelli, Darla;Ramsey, Carol;Payton, Jamie
• 通讯作者: Payton, Jamie

Expanding Elementary School Computer Science Education with an Introduction to Machine Learning Through Rhythmic Studies

通过节奏研究介绍机器学习，扩大小学计算机科学教育

• DOI: 10.1145/3565287.3617623
• 发表时间: 2023
• 期刊: ACM
• 作者: Hunter, Holly;Payton, Jamie;Julien, Christine
• 通讯作者: Julien, Christine