Formative Assessments for Computer Science in NYC
纽约市计算机科学形成性评估
基本信息
- 批准号:1742011
- 负责人:
- 金额:$ 140.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-01 至 2022-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The project is funded by the STEM+Computing program, which seeks to address emerging challenges in computational science, technology, engineering, and mathematics (STEM) areas through the applied integration of computational thinking and computing activities within disciplinary STEM teaching and learning in early childhood education through high school (preK-12). Integrating computer science into the United States schools is one of the most significant changes for K-12 public education in decades. The New York City (NYC) CS4All initiative is a leader in this educational reform and serves as a model for other cities and states. One aspect of the NYC efforts is to integrate computer science concepts across disciplines. A challenge with this approach is helping non-computer science teachers, and their students, in assessing if they have met computer science learning goals. This project seeks to create a method to measure this learning through an interactive technology-enhanced assessment system that will provide formative feedback to students and teachers. This project will address core research questions about how to provide ongoing assessment of student computer science (CS) learning that: (a) provides useful feedback to teachers and students; (b) is appealing for students to engage with; and (c) can be used with a wide diversity of curricula that integrate CS and STEM domains. The tool will be open-sourced and made available to approximately 600 students during the project, with an eye to serve over 100,000 diverse and low-income NYC middle school students, and eventually to other districts across the U.S. In addition, the project will provide insight on research and design in areas as diverse as assessment, CS education curricula, and educational game design. This project addresses the nationwide need for a validated instrument that provides formative feedback on student progress with diverse computer science curricula. The is a three-year project to design, develop, and conduct research with a validated system of formative assessment for middle school computational thinking that would meet NYC's needs and create opportunities for broader impacts nationwide. Building on research-based approaches, including stealth assessment and evidence-centered design (ECD) of assessments, this project incorporates a range of performance tasks on the topic of Data and Analysis as outlined in the K-12 CS framework. Students will engage in a construction environment and formative feedback on student knowledge and performance will be generated from their interactions. Using participatory design methods, the project will engage stakeholders with designing tasks and reports that best meet teachers' and students' needs. The project will be piloted and then implemented in schools using varied CS curricula throughout NYC. The research will provide empirical data on how integration of formative assessment with adoption of varied CS curriculum can enable districts to meet the needs of a diverse student population. Furthermore, adopting an iterative design process steeped in participatory methods will allow for the generation of theory-driven design principles around how students and teachers from diverse schools and neighborhoods encounter core CS constructs from a variety of CS curricula.
该项目由STEM+Computing计划资助,旨在通过将计算思维和计算活动应用于学科STEM教学和学习中,以应对计算科学,技术,工程和数学(STEM)领域的新挑战。将计算机科学融入美国学校是几十年来K-12公共教育最重大的变化之一。纽约市的CS4 All倡议是这一教育改革的领导者,并为其他城市和州树立了榜样。纽约市努力的一个方面是整合跨学科的计算机科学概念。这种方法的一个挑战是帮助非计算机科学教师和他们的学生评估他们是否达到了计算机科学的学习目标。该项目旨在创建一种方法,通过互动技术增强的评估系统来衡量这种学习,该系统将向学生和教师提供形成性反馈。 该项目将解决核心研究问题,即如何提供对学生计算机科学(CS)学习的持续评估:(a)为教师和学生提供有用的反馈;(B)吸引学生参与;(c)可用于集成CS和STEM领域的各种课程。该工具将是开源的,并在项目期间提供给大约600名学生,着眼于为超过100,000名不同和低收入的纽约市中学生提供服务,并最终提供给美国其他地区。该项目解决了全国范围内需要一个经过验证的工具,提供不同的计算机科学课程的学生进步的形成反馈。这是一个为期三年的项目,旨在设计,开发和开展研究,为中学计算思维提供经过验证的形成性评估系统,以满足纽约市的需求,并为全国范围内更广泛的影响创造机会。基于研究方法,包括隐形评估和以证据为中心的评估设计(ECD),该项目结合了一系列关于K-12 CS框架中概述的数据和分析主题的性能任务。学生将参与建设环境和学生的知识和表现的形成性反馈将从他们的互动产生。该项目将利用参与式设计方法,让利益攸关方参与设计最能满足教师和学生需求的任务和报告。该项目将先试行,然后在整个纽约市使用各种计算机课程的学校实施。这项研究将提供经验数据,说明如何将形成性评估与采用不同的CS课程相结合,使地区能够满足不同学生群体的需求。此外,采用一个迭代的设计过程沉浸在参与性的方法将允许理论驱动的设计原则,围绕如何从不同的学校和社区的学生和教师遇到核心CS结构从各种CS课程的生成。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Combining Learning Analytics and Qualitative Analysis for the Exploration of Open-Ended Learning Environments
结合学习分析和定性分析探索开放式学习环境
- DOI:
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Zheng, Yipu;Blikstein, Paulo;Holbert, Nathan
- 通讯作者:Holbert, Nathan
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Nathan Holbert其他文献
Nathan Holbert的其他文献
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{{ truncateString('Nathan Holbert', 18)}}的其他基金
A Technological Framework for Fostering Collaboration by Linking Novice Makers with Mentors and Peers
通过将新手创客与导师和同行联系起来促进合作的技术框架
- 批准号:
2048852 - 财政年份:2021
- 资助金额:
$ 140.2万 - 项目类别:
Standard Grant
Exploring STEM Impact and Engagement in Student-Led and Purpose-Driven Projects
探索学生主导和目标驱动项目中的 STEM 影响和参与度
- 批准号:
1759224 - 财政年份:2018
- 资助金额:
$ 140.2万 - 项目类别:
Standard Grant
Collaborative Research: RAPID: CS-NYCE: An ecological approach to understanding the rollout of student-centered computer science education in New York City
合作研究:RAPID:CS-NYCE:一种理解纽约市以学生为中心的计算机科学教育推广的生态方法
- 批准号:
1645700 - 财政年份:2016
- 资助金额:
$ 140.2万 - 项目类别:
Standard Grant
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