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CAREER: Supporting Computational Algorithmic Thinking (SCAT) - Exploring the Development of Computational Algorithmic Thinking Capabilities in African-American Middle School Girls

CAREER: Supporting Computational Algorithmic Thinking (SCAT) - Exploring the Development of Computational Algorithmic Thinking Capabilities in African-American Middle School Girls
职业:支持计算算法思维(SCAT)——探索非裔美国中学生计算算法思维能力的发展
批准号:
1150098
负责人:
Jakita Thomas
金额:
$43.46万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-07-15 至 2017-07-31

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英文摘要
The Supporting Computational Algorithmic Thinking (SCAT) project at Spelman College includes activities that develop computational thinking and encourage middle school, African-American girls to consider careers in computer science. Over a three-year period, the girls attend summer camp sessions of two weeks where they learn to design interactive games. They participate in workshops, field trips, and game-design competitions. Experts in Computational Algorithmic Thinking as well as undergraduate, computer science majors at Spelman College guide the middle-school students in their design of games and exploration of related STEM careers.Research on the development of Computational Algorithmic Thinking is an integral part of the project. The researcher is investigating how middle-school girls develop computational thinking and problem solving skills. Game design has been shown to be an area that is attractive to adolescents and it requires extensive problem solving and computational algorithmic thinking. Within the context of designing games individually and within groups, the researcher is assessing how the girls develop computational algorithmic thinking, and what difficulties they experience. Researchers are also assessing how the project experiences influence the students' self-perceptions of themselves as problem solvers. At the same time, the girls engaged in educational experiences where they are expected to gain knowledge in mathematics, programming, and reasoning, as well as game design. Research data consists of artifacts that the students have created, observations, participant journals, and interviews.Computational Algorithmic Thinking is an essential skill for most STEM careers. African-American women are underrepresented in many STEM fields and especially in computer science. The goals of the project are to prepare girls with these essential skills and to increase their confidence in participating in STEM education. The project is also exposing participating girls to a wide variety of STEM careers. In addition, the materials, lesson plans, and activities generated in the project are available to be used, without charge, by other groups interested in designing similar programs.
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Collaborative Research: EAGER: Intersectional Computing
  • 批准号:
    2240327
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.43万
  • 财政年份:
    2023
  • 负责人:
    Jakita Thomas
  • 依托单位:
RII-Track 4 - Experiencing The Matrix of Power Dynamics For Undergraduate And Graduate Black Women In Computing to Understand their Intersectional Experiences
  • 批准号:
    2033452
  • 项目类别:
    Standard Grant
  • 资助金额:
    $16.02万
  • 财政年份:
    2021
  • 负责人:
    Jakita Thomas
  • 依托单位:
I-Corps: Scaffolding the acquisition and development of computational algorithmic thinking capabilities in formal and informal learning environments
  • 批准号:
    1832334
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2018
  • 负责人:
    Jakita Thomas
  • 依托单位:
Collaborative Research: Exploring the Intersectional Relationship Between Mathematics and Computing Identities for Black Girls and Women
  • 批准号:
    1812924
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.91万
  • 财政年份:
    2018
  • 负责人:
    Jakita Thomas
  • 依托单位:
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