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Personalized Computational Thinking for Grades 3-8

Personalized Computational Thinking for Grades 3-8
3-8 年级个性化计算思维
批准号:
1738574
负责人:
Jodi Asbell-Clarke
金额:
$99.64万
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
项目状态:
已结题
起止时间:
2017-09-01 至 2021-08-31

项目摘要

项目成果

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中文摘要
翻译
普及计算机科学运动的重点是为所有学生,包括那些有特殊需要的学生,提供计算思维和计算机科学的学习机会。该项目是布伦特里公立学校(BPS)和TERC的EDGE之间的研究实践者伙伴关系(RPP)。这项RPP的共同目的是为整个BPS中计算思维(CT)的教与学奠定坚实的基础,并通过这样做,为认知差异的3-8年级不同的学习者提供一个可扩展和可推广的个性化CT教育模式。为了实现这一共同目标,RPP将设计和开发Codeplay--一套数字工具、活动、评估和专业发展经验,将CT注入3-8年级的现有课程。Codeplay工具包括一个播放列表生成器,供教师构建个性化的活动播放列表,指导学习者完成CT学习进度,并分层提供兴趣驱动和定制学习的机会。Codeplay活动沉浸在科学、数学和其他现有学科内容中;并为学习者使用Scratch和BlocksCAD(用于3D打印)等编码工具进行基于项目的学习做好准备。为期一年的基于设计的实施研究(DBIR)将使RPP能够策划和共同设计课堂活动,为3-8年级的不同学习者提供CT教学和学习支持。随后在BPS对大约40个班级进行的试点研究将研究Codeplay如何支持整个地区中小学班级的CT教与学。Codeplay将利用EDGE之前NSF支持的研究的几个方面,包括:与BPS不断发展的合作伙伴关系、CT研究领域领导者的专业知识、初步CT学习进展和课程活动;以及称为Data Arade的独特的自动化评估数据架构。RPP还将共同设计专业发展和社区支持结构,以建设能够在地区内维持系统性变化的能力。
英文摘要
The Computer Science for All movement focuses on providing all students, including those with special needs, with computational thinking and computer science learning opportunities. This project is a Researcher Practitioner Partnership (RPP) between Braintree Public Schools (BPS) and EdGE at TERC. The shared purpose of this RPP is to build a strong foundation for the teaching and learning of Computational Thinking (CT) in upper elementary and middle schools throughout BPS, and in doing so, to inform a scalable and generalizable model of personalized CT education for a broad audience of diverse learners in grades 3-8 with cognitive differences. To meet this shared purpose, the RPP will design and develop CodePlay--a suite of digital tools, activities, assessments, and professional development experiences that infuse CT into existing curriculum in grades 3-8. CodePlay tools include a Playlist Generator for teachers to build individualized playlists of activities that guide learners through a CT learning progression, layered with opportunities for interest-driven and customized learning. CodePlay activities are immersed within science, math, and other existing disciplinary content; and prepare learners for project-based learning using coding tools such as Scratch and BlocksCAD (for 3D printing). A year of design-based implementation research (DBIR) will enable the RPP to curate and co-design classroom activities that support teaching and learning of CT for a diverse audience of learners in grades 3-8. A subsequent pilot study of about forty classes in BPS will study how CodePlay can support CT teaching and learning in elementary and middle school classes throughout the district. CodePlay will leverage several facets of EdGE's previous NSF supported research including: a growing partnership with BPS, expertise from leaders in CT research, a preliminary CT learning progression and curriculum activities; and a unique automated assessment data architecture called Data Arcade. The RPP will also co-design professional development and community support structures to build capacity that can sustain systemic change within the district.
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会议论文
Zoombinis: The Full Development Implementation Research Study of a Computational Thinking Game for Upper Elementary and Middle School Learners
  • 批准号:
    1502882
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $194.12万
  • 财政年份:
    2015
  • 负责人:
    Jodi Asbell-Clarke
  • 依托单位:
Collaborative Research: Revealing the Invisible: Data-Intensive Research Using Cognitive, Psychological, and Physiological Measures to Optimize STEM Learning
  • 批准号:
    1417967
  • 项目类别:
    Standard Grant
  • 资助金额:
    $53.2万
  • 财政年份:
    2014
  • 负责人:
    Jodi Asbell-Clarke
  • 依托单位:
Taking Games to School: Exploratory Study to Support Game-Based Teaching and Learning In High-School Science Classes
  • 批准号:
    1415284
  • 项目类别:
    Standard Grant
  • 资助金额:
    $44.99万
  • 财政年份:
    2014
  • 负责人:
    Jodi Asbell-Clarke
  • 依托单位:
FUN: A finland US Network for Engagement and STEM Learning in Games
  • 批准号:
    1252709
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.56万
  • 财政年份:
    2012
  • 负责人:
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  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data