Advance Urban Learning: Teach Science

推进城市学习:教授科学

基本信息

  • 批准号:
    0733788
  • 负责人:
  • 金额:
    $ 74.99万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-10-01 至 2014-09-30
  • 项目状态:
    已结题

项目摘要

In partnership with the Indianapolis Public Schools (IPS), Indiana University-Purdue University at Indianapolis (IUPUI) is offering Robert Noyce Scholarships to qualified science teacher candidates who commit to working in an urban or high-need district after graduation. The 30% attrition rate of new science teachers within IPS and inadequate numbers of new teachers pursuing science degrees statewide are two particular areas of concern that the IUPUI-IPS Noyce partnership is addressing. The goal is to graduate 30 Biology, Chemistry, Physics, or Earth Science teachers over four years, who have earned a STEM bachelor's degree from Purdue University (IUPUI) and also fulfilled the Indiana Division of Professional Standards requirements for teaching Science in grades 6 -12. The Advance Urban Learning: Teach Science project is based on current pedagogy and educational research existing within IUPUI's successful "Learning to Teach, Teaching to Learn" program, known for its focus on the challenges of teaching in an urban context. Experienced teachers serve as mentors and host Noyce Scholars in their classrooms. Recruitment efforts focus on attracting minority students into teaching and include a course for freshman and sophomores on exploring teaching as a career. This project broadens and expands the current Robert Noyce Scholarship post-baccalaureate program at IUPUI to include undergraduate Biology, Chemistry, Physics, and Earth Science students. Noyce Scholars are future leaders who have undergone extensive preparation in their content areas and are also well-versed in current pedagogical practice, benefiting both colleagues in the profession as well as the students they guide and instruct. This diverse group also serves as future mentors for successive Noyce teacher candidates.
印第安纳大学-普渡大学印第安纳波利斯分校(IUPUI)与印第安纳波利斯公立学校(IPS)合作,向毕业后承诺在城市或高需求地区工作的合格科学教师候选人提供罗伯特·诺伊斯奖学金。IUPUI-IPS Noyce合作伙伴关系正在解决的两个特别关注领域是,IPS内新的科学教师的流失率为30%,以及在全州范围内攻读科学学位的新教师数量不足。目标是在四年内毕业30名生物,化学,物理或地球科学教师,他们已获得普渡大学(IUPUI)的STEM学士学位,并满足印第安纳州专业标准部门对6 -12年级科学教学的要求。“推进城市学习:教学科学”项目基于IUPUI成功的“从学习到教学,从教学到学习”项目中现有的教学法和教育研究,该项目以关注城市环境下教学的挑战而闻名。经验丰富的教师担任导师,并在课堂上接待诺伊斯学者。招聘工作的重点是吸引少数民族学生从事教学工作,并为大一和大二学生开设了一门关于探索教学职业的课程。该项目拓宽和扩展了IUPUI目前的罗伯特·诺伊斯奖学金学士后项目,包括生物、化学、物理和地球科学的本科生。Noyce学者是未来的领导者,他们在其内容领域进行了广泛的准备,并且精通当前的教学实践,使专业的同事以及他们所指导和指导的学生受益。这个多元化的群体也将成为诺伊斯教师候选人的未来导师。

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 }}

Kathleen Marrs其他文献

Kathleen Marrs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('Kathleen Marrs', 18)}}的其他基金

The GK-12 Urban Educators Program at IUPUI
IUPUI 的 GK-12 城市教育者计划
  • 批准号:
    0742475
  • 财政年份:
    2008
  • 资助金额:
    $ 74.99万
  • 项目类别:
    Continuing Grant

相似海外基金

REU Site: Community-Soil-Air-Water: A Geoscience Learning Ecosystem for Urban Environments
REU 网站:社区-土壤-空气-水:城市环境的地球科学学习生态系统
  • 批准号:
    2348995
  • 财政年份:
    2024
  • 资助金额:
    $ 74.99万
  • 项目类别:
    Standard Grant
Assessing the Coordination of Electric Vehicle Adoption on Urban Energy Transition: A Geospatial Machine Learning Framework
评估电动汽车采用对城市能源转型的协调:地理空间机器学习框架
  • 批准号:
    24K20973
  • 财政年份:
    2024
  • 资助金额:
    $ 74.99万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
CPS: Small: NSF-DST: Safety-Aware Behaviour-Driven Reinforcement Learning Based Autonomous Driving Solution for Urban Areas
CPS:小型:NSF-DST:基于安全意识行为驱动的强化学习的城市自动驾驶解决方案
  • 批准号:
    2343167
  • 财政年份:
    2024
  • 资助金额:
    $ 74.99万
  • 项目类别:
    Standard Grant
CPS: Medium: Collaborative Research: Provably Safe and Robust Multi-Agent Reinforcement Learning with Applications in Urban Air Mobility
CPS:中:协作研究:可证明安全且鲁棒的多智能体强化学习及其在城市空中交通中的应用
  • 批准号:
    2312092
  • 财政年份:
    2023
  • 资助金额:
    $ 74.99万
  • 项目类别:
    Standard Grant
Enhancing Climate Literacy in General Education Geoscience Courses through Individual Urban Heat Exposure Active Learning Projects
通过个人城市热暴露主动学习项目提高通识教育地球科学课程的气候素养
  • 批准号:
    2315364
  • 财政年份:
    2023
  • 资助金额:
    $ 74.99万
  • 项目类别:
    Standard Grant
Developing Partnerships to Engage Youth in Mental Health and Substance Use Services: Learning with an Emerging, Urban district of Metropolitan, Lima
发展伙伴关系,让年轻人参与心理健康和药物使用服务:与利马大都市区的新兴城区一起学习
  • 批准号:
    480821
  • 财政年份:
    2023
  • 资助金额:
    $ 74.99万
  • 项目类别:
    Miscellaneous Programs
Critical Aspects of Sustainability (CAS)-Climate: Actionable Heat and Carbon Mitigation by Urban Greening--Integrating Physical Modeling and Machine Learning for Decision Support
可持续发展的关键方面(CAS)-气候:通过城市绿化实现可行的热量和碳减排——集成物理模型和机器学习以提供决策支持
  • 批准号:
    2300548
  • 财政年份:
    2023
  • 资助金额:
    $ 74.99万
  • 项目类别:
    Standard Grant
CPS: Medium: Collaborative Research: Provably Safe and Robust Multi-Agent Reinforcement Learning with Applications in Urban Air Mobility
CPS:中:协作研究:可证明安全且鲁棒的多智能体强化学习及其在城市空中交通中的应用
  • 批准号:
    2312093
  • 财政年份:
    2023
  • 资助金额:
    $ 74.99万
  • 项目类别:
    Standard Grant
CPS: Medium: Collaborative Research: Provably Safe and Robust Multi-Agent Reinforcement Learning with Applications in Urban Air Mobility
CPS:中:协作研究:可证明安全且鲁棒的多智能体强化学习及其在城市空中交通中的应用
  • 批准号:
    2312094
  • 财政年份:
    2023
  • 资助金额:
    $ 74.99万
  • 项目类别:
    Standard Grant
Integrating Community Based Participatory Research and Machine Learning Methods to Predict Youth Substance Use Disorders for Urban Cities in New Jersey
整合基于社区的参与性研究和机器学习方法来预测新泽西州城市的青少年药物使用障碍
  • 批准号:
    10740570
  • 财政年份:
    2023
  • 资助金额:
    $ 74.99万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了