Building Capacity in Support of the Development of Computer Science Master Teachers for Rural South Georgia
支持南乔治亚州农村地区计算机科学硕士教师发展的能力建设
基本信息
- 批准号:1949866
- 负责人:
- 金额:$ 12.48万
- 依托单位:
- 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:2020-04-01 至 2021-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project aims to build the capacity for increasing the number of computer science master teachers in rural Georgia. The shortage of computer science instruction in rural schools is a serious gap in the STEM education pipeline. To help fill this gap, this project seeks to define the skills and knowledge that teachers need so they can provide students with effective computer science learning experiences. It will also identify local resources that can help achieve this goal. In addition, it will collect data about challenges that must be overcome to increase the number and diversity of middle- and high-school computer science teachers. The leadership potential of rural, high-need school systems will also be assessed. The project intends to use the results of this capacity building project to design a computer science master teacher endorsement track within an existing Master of Education degree program. This project at Mercer University includes partnerships with Wiregrass Georgia Technical College and these rural county school districts: Ben Hill, Bleckley, Evans, Jeff Davis, Tattnall, Treutlen, and Wheeler. Additional partners are Rural Education Service Agencies (RESA): Coastal Plains RESA, Heart of Georgia RESA, and Okefenokee RESA. Project goals include the following: 1. Conduct a needs assessment to determine the infrastructure needed to support computer science instruction in rural school systems. The needs assessment will also collect data about the interest among exemplary and certified grades 6-12 STEM teachers to pursue computer science teaching and leadership opportunities. 2. Investigate recruitment, preparation, and support processes pertinent to computer science teaching and leadership. 3. Design a computer science master teacher endorsement track within an existing Master of Education degree program. This endorsement track will be based on understandings developed through activities aligned with the project’s first two project goals. Data will be collected via interviews and publicly available documents. The data will be analyzed using grounded theory to identify the infrastructure needed to support computer science teacher and leader development. The data analysis also aims to determine teacher interest and recruitment capacity for a computer science teacher leader endorsement program, computer science teacher leader preparation, and ongoing support. The intellectual merit of the project resides in the process of evidence-based decision making that will be used to design a model computer science teacher endorsement track. The project’s broader impacts include its potential to increase computer science learning opportunities for students in South Georgia rural, high-need school systems. Dissemination of project findings will occur via: paper presentations at state and national conferences; reports to the state RESA directors and school superintendents; a written summary sent to state legislators, the State Superintendent of Education, and the Offices of the Governor and Lieutenant Governor; and manuscripts submitted to journals for publication. This Capacity Building project is supported through the Robert Noyce Teacher Scholarship Program (Noyce). The Noyce program supports talented STEM undergraduate majors and professionals to become effective K-12 STEM teachers and experienced, exemplary K-12 teachers to become STEM master teachers in high-need school districts. It also supports research on the persistence, retention, and effectiveness of K-12 STEM teachers in high-need school districts.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.
该项目旨在建设能力,以增加格鲁吉亚农村地区计算机科学硕士教师的数量。农村学校计算机科学教学的短缺是STEM教育管道中的一个严重缺口。 为了帮助填补这一空白,该项目旨在定义教师所需的技能和知识,以便他们能够为学生提供有效的计算机科学学习体验。 它还将确定有助于实现这一目标的当地资源。 此外,它还将收集有关必须克服的挑战的数据,以增加初中和高中计算机科学教师的数量和多样性。 还将评估农村高需求学校系统的领导潜力。该项目打算利用这一能力建设项目的结果,在现有的教育硕士学位课程中设计一个计算机科学硕士教师认可轨道。美世大学的这个项目包括与Wiregrass格鲁吉亚技术学院和这些农村县学区的合作伙伴关系:本·希尔、布莱克利、埃文斯、杰夫·戴维斯、塔特纳尔、特鲁特伦和惠勒。 其他合作伙伴是农村教育服务机构(RESA):沿海平原RESA,格鲁吉亚RESA的心脏,和奥克弗诺基RESA。 项目目标包括:1.进行需求评估,以确定支持农村学校系统计算机科学教学所需的基础设施。 需求评估还将收集有关示范和认证的6-12级STEM教师追求计算机科学教学和领导机会的兴趣的数据。2.调查招聘,准备和支持过程相关的计算机科学教学和领导。 3.在现有的教育硕士学位课程中设计一个计算机科学硕士教师认可轨道。 这一认可轨道将基于通过与该项目前两个项目目标一致的活动所达成的谅解。数据将通过访谈和公开文件收集。 数据将使用扎根理论进行分析,以确定支持计算机科学教师和领导者发展所需的基础设施。 数据分析还旨在确定教师的兴趣和招聘能力,为计算机科学教师领导者认可计划,计算机科学教师领导者准备和持续的支持。该项目的智力价值在于基于证据的决策过程,将用于设计一个模型计算机科学教师认可轨道。该项目更广泛的影响包括其有可能为南格鲁吉亚农村、高需求学校系统的学生增加计算机科学学习机会。项目调查结果的传播将通过:在州和国家会议上的论文演示;向州RESA主任和学校负责人提交报告;向州立法者,州教育总监以及州长和副州长办公室发送书面摘要;以及提交期刊出版的手稿。这个能力建设项目是通过罗伯特诺伊斯教师奖学金计划(诺伊斯)的支持。诺伊斯计划支持有才华的STEM本科专业和专业人士成为有效的K-12 STEM教师和经验丰富的模范K-12教师,成为高需求学区的STEM硕士教师。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Thomas Koballa其他文献
Relationship between teacher intentions and their classroom use of Superscience
- DOI:
10.1007/bf00694597 - 发表时间:
1993-03-01 - 期刊:
- 影响因子:5.500
- 作者:
David P. Butts;Thomas Koballa;Margaret Anderson;Douglas P. Butts - 通讯作者:
Douglas P. Butts
Volume 58-1 Complete Issue
第58卷-1 完整版
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Alankrita Chhikara;Stephanie Oudghiri;Araba A. Z. Osei;R. Dwomoh;Thomas Koballa;Robert Allen;Judy Godfrey;Michael Dias;Shawn Utley;DeAnnia Clements;Nicole Damico - 通讯作者:
Nicole Damico
Thomas Koballa的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Thomas Koballa', 18)}}的其他基金
Developing Computer Science Master Teachers for Georgia Rural Schools
为佐治亚州农村学校培养计算机科学硕士教师
- 批准号:
2147890 - 财政年份:2022
- 资助金额:
$ 12.48万 - 项目类别:
Continuing Grant
Pre-College Teacher Enhancement Program for Middle/Junior High School Life Science Teachers
初中生命科学教师预科教师提升计划
- 批准号:
8751801 - 财政年份:1988
- 资助金额:
$ 12.48万 - 项目类别:
Standard Grant
Pre-college Teacher Development in Science Program for Middle School Life Science Teachers
中学生命科学教师的大学预科教师科学发展计划
- 批准号:
8651477 - 财政年份:1987
- 资助金额:
$ 12.48万 - 项目类别:
Standard Grant
相似海外基金
Building Institutional Capacity to Support STEM Scholars Through Pedagogy of Real Talk
通过真实对话教学法建设机构能力以支持 STEM 学者
- 批准号:
2325760 - 财政年份:2024
- 资助金额:
$ 12.48万 - 项目类别:
Continuing Grant
Travel Support for Capacity Building: the Coastal And Ocean STEM Equity Alliance
能力建设的差旅支持:沿海和海洋 STEM 股权联盟
- 批准号:
2327032 - 财政年份:2023
- 资助金额:
$ 12.48万 - 项目类别:
Standard Grant
Implementing SafeCare Kenya to Reduce Noncommunicable Disease Burden: Building Community Health Workers' Capacity to Support Parents with Young Children
实施 SafeCare Kenya 以减少非传染性疾病负担:建设社区卫生工作者支持有幼儿的父母的能力
- 批准号:
10672785 - 财政年份:2023
- 资助金额:
$ 12.48万 - 项目类别:
Building and Implementing a predictive decision support system based on a proactive full capacity protocol to mitigate emergency overcrowding problem
建立和实施基于主动全容量协议的预测决策支持系统,以缓解紧急过度拥挤问题
- 批准号:
10810217 - 财政年份:2023
- 资助金额:
$ 12.48万 - 项目类别:
Building Health System Capacity to Develop, Validate, and Deploy Novel Machine Learning Population-Based Risk Tools to Support Population Health Management
建设卫生系统能力以开发、验证和部署新型机器学习基于人群的风险工具以支持人口健康管理
- 批准号:
484592 - 财政年份:2023
- 资助金额:
$ 12.48万 - 项目类别:
Fellowship Programs
FDA Vet-LIRN Capacity-Building of Ohio ADDL to support bacterial identification of foodborne pathogens
FDA Vet-LIRN 俄亥俄州 ADDL 能力建设支持食源性病原体的细菌鉴定
- 批准号:
10829120 - 财政年份:2023
- 资助金额:
$ 12.48万 - 项目类别:
CK22-008, Building Mathematical Modeling Workforce Capacity to Support Infectious Disease and Healthcare Research - 2022
CK22-008,建立数学建模劳动力能力以支持传染病和医疗保健研究 - 2022
- 批准号:
10913951 - 财政年份:2023
- 资助金额:
$ 12.48万 - 项目类别:
FDA Vet-LIRN Capacity-Building of Ohio ADDL to support rapid testing for COVID-19
FDA Vet-LIRN 俄亥俄州 ADDL 能力建设支持快速检测 COVID-19
- 批准号:
10829119 - 财政年份:2023
- 资助金额:
$ 12.48万 - 项目类别:
Building Mathematical Modeling Workforce Capacity to Support Infectious Disease and Healthcare Research - 2022
建设数学建模劳动力能力以支持传染病和医疗保健研究 - 2022
- 批准号:
10861383 - 财政年份:2023
- 资助金额:
$ 12.48万 - 项目类别:
Building mathematical modeling workforce capacity to support infectious disease and healthcare research
建立数学建模劳动力能力以支持传染病和医疗保健研究
- 批准号:
10618070 - 财政年份:2022
- 资助金额:
$ 12.48万 - 项目类别: