BCSER: Investigating the Approaches for Improving Computer Science Pathways at Native American Tribal Schools

BCSER:调查改善美国原住民部落学校计算机科学途径的方法

基本信息

  • 批准号:
    2246200
  • 负责人:
  • 金额:
    $ 34.97万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-10-15 至 2024-05-31
  • 项目状态:
    已结题

项目摘要

Advancing participation in computer science is significant for meeting NSF’s goals and benefits the nation. Arizona State University aims to improve pathways in computer science for Native American tribal school students through co-developed culturally relevant computer science programming. Teachers in tribal high schools on the Navajo Nation will use real-world coding exercises that focus on communities, nature, and the arts to provide a richer understanding of computing and its applications. The project aims to evaluate various instructional prototypes delivered in a series of high school computer science courses. The project also builds research capacity in the PI through training in education research design and analyses and experience conducting research with tribal nations. Through advancing knowledge of Native American students in STEM, this project supports the development of a diverse and skilled workforce in computer science. The goal of this project is to conduct iterative design-based research through testing co-developed instructional prototypes using a contextualized representative framework. The research aims to build communities of practice that include representatives from school district administrators, researchers, and community members. Grounded in epistemic learning, constructivist theory, and situated learning theory, the scope of the project is to broaden the acceptability of computer science in Native American classrooms and make it meaningful for both teachers and students. Both student and teacher perspectives will be gauged using mixed methods approaches including surveys, curriculum-embedded assessments, work samples, focus groups, and competence assessments. The project aims to address the ways in which culture, context, and coding in computer science education support increases in quantity and quality of computer science learning experiences, interest, and achievement in computer science for Native American students. The project is supported through the EHR Core Research: Building Capacity in STEM Education Research (ECR: BCSER) competition that is designed to build individuals’ capacity to carry out high quality fundamental STEM education research in STEM learning and learning environments, broadening participation in STEM fields, and STEM workforce development.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.
推进计算机科学的参与对于实现NSF的目标和造福国家具有重要意义。亚利桑那州立大学旨在通过共同开发与文化相关的计算机科学编程,改善美国土著部落学校学生的计算机科学途径。纳瓦霍部落高中的教师将使用真实世界的编码练习,重点是社区,自然和艺术,以提供对计算及其应用的更丰富的理解。该项目旨在评估一系列高中计算机科学课程中提供的各种教学原型。该项目还通过教育、研究、设计和分析方面的培训以及与部落民族开展研究的经验,建设了土著人民的研究能力。通过提高美国原住民学生在STEM方面的知识,该项目支持在计算机科学领域发展多样化和熟练的劳动力。这个项目的目标是进行迭代设计为基础的研究,通过测试共同开发的教学原型,使用上下文的代表性框架。该研究旨在建立实践社区,包括学区管理人员,研究人员和社区成员的代表。基于认知学习,建构主义理论和情境学习理论,该项目的范围是扩大计算机科学在美洲原住民课堂上的可接受性,使其对教师和学生都有意义。学生和教师的观点将采用混合方法进行衡量,包括调查,嵌入式评估,工作样本,焦点小组和能力评估。该项目旨在解决计算机科学教育中的文化,背景和编码支持如何增加美国原住民学生计算机科学学习经验,兴趣和成就的数量和质量。EHR核心研究:STEM教育研究能力建设(ECR:BCSER)竞赛,旨在培养个人在STEM学习和学习环境中开展高质量基础STEM教育研究的能力,扩大STEM领域的参与,该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的知识产权进行评估来支持。优点和更广泛的影响审查标准。

项目成果

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Ashish Amresh其他文献

Towards a Context Agnostic Platform for Design and Assessment of Educational Games
面向上下文无关的教育游戏设计和评估平台
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tyler Baron;Corey D. C. Heath;Ashish Amresh
  • 通讯作者:
    Ashish Amresh
Development and Use of a Tablet-based Resuscitation Sheet for Improving Outcomes during Intensive Patient Care
开发和使用基于平板电脑的复苏片以改善重症患者护理期间的结果
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Wasif Bokhari;V. Patel;Ayan Sen;Ashish Amresh
  • 通讯作者:
    Ashish Amresh
Word Towers: Assessing Domain Knowledge with Non-Traditional Genres
词塔:评估非传统类型的领域知识
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tyler Baron;Ashish Amresh
  • 通讯作者:
    Ashish Amresh
Emerging Practices in Game-Based Assessment
基于游戏的评估的新兴实践
  • DOI:
    10.1007/978-3-030-15569-8_16
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Vipin Verma;Tyler Baron;A. Bansal;Ashish Amresh
  • 通讯作者:
    Ashish Amresh
Predicting Real-Time Affective States by Modeling Facial Emotions Captured During Educational Video Game Play
通过对教育视频游戏过程中捕获的面部情绪进行建模来预测实时情感状态
  • DOI:
    10.1007/978-3-030-63464-3_45
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    1.5
  • 作者:
    Vipin Verma;Hansol Rheem;Ashish Amresh;Scotty D. Craig;Ajay Bansal
  • 通讯作者:
    Ajay Bansal

Ashish Amresh的其他文献

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{{ truncateString('Ashish Amresh', 18)}}的其他基金

BCSER: Investigating the Approaches for Improving Computer Science Pathways at Native American Tribal Schools
BCSER:调查改善美国原住民部落学校计算机科学途径的方法
  • 批准号:
    2126021
  • 财政年份:
    2021
  • 资助金额:
    $ 34.97万
  • 项目类别:
    Standard Grant

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