Science in the Learning Gardens: Factors that Support Racial and Ethnic Minority Students' Success in Low-Income Middle Schools
学习花园中的科学:支持少数族裔学生在低收入中学取得成功的因素
基本信息
- 批准号:1418270
- 负责人:
- 金额:$ 45万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-01 至 2018-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Science in the Learning Gardens (SciLG) will use school gardens as the context for learning at two low-income middle schools with predominantly racial and ethnic minority students in Portland, Oregon. There are thousands of gardens flourishing across the country that are underutilized as contexts for active engagement in the middle grades. School gardens provide important cultural contexts while addressing environmental and food issues. SciLG will bring underrepresented youth into gardens at a critical time in their intellectual development to broaden the factors that support motivation to pursue STEM careers and educational pathways. The project will adapt, organize, and align two disparate sets of existing resources into the project curriculum: 6th grade science curriculum resources, and garden-based lessons and units. The curriculum will be directly aligned with the Next Generation Science Standards (NGSS). The project will use a design-based research approach to refine instruction and formative assessment, and to investigate factors for student success in science proficiency and their motivational engagement in relation to the garden curriculum. The curriculum will be pilot-tested during the first year of the project in five sixth-grade classes with 240 students in Portland Public Schools. Students will be followed longitudinally in grades 7 and 8 in years 2 and 3 respectively, as curricular integration continues. The research team will support participating teachers each year in using their schools' gardens, and study how this context can serve as an effective pedagogical strategy for NGSS-aligned science curriculum. Academic learning will be measured by assessments of student progress towards the end of middle-school goals defined by NGSS. Motivation will be measured by a validated motivational engagement instrument. SciLG results along with the motivational engagement instrument will be disseminated widely through a variety of professional networks to stimulate implementation nationwide.
学习花园中的科学(SciLG)将利用学校花园作为俄勒冈州波特兰两所以种族和少数民族学生为主的低收入中学的学习环境。全国各地有成千上万的花园,这些花园作为中等年级学生积极参与的背景没有得到充分利用。学校花园提供了重要的文化背景,同时解决了环境和粮食问题。SciLG将在智力发展的关键时刻将代表性不足的青年带入花园,以扩大支持追求STEM职业和教育途径的动机的因素。该项目将适应,组织和调整两套不同的现有资源到项目课程:六年级科学课程资源,和基于花园的经验教训和单位。该课程将直接与下一代科学标准(NGSS)保持一致。该项目将使用基于设计的研究方法来完善教学和形成性评估,并调查学生在科学能力方面取得成功的因素及其与花园课程相关的积极参与。 该课程将在项目的第一年在波特兰公立学校的五个六年级班进行试点测试,共有240名学生。随着课程整合的继续,学生将分别在2年级和3年级的7年级和8年级进行纵向跟踪。研究小组每年将支持参与教师使用他们学校的花园,并研究如何将这种情况作为与NGSS一致的科学课程的有效教学策略。学术学习将通过评估学生在NGSS定义的中学目标结束时的进展来衡量。动机将通过经验证的动机参与工具进行测量。SciLG的结果沿着激励参与工具将通过各种专业网络广泛传播,以促进全国范围内的实施。
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 }}
Dilafruz Williams其他文献
Dilafruz Williams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 }}
相似国自然基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:合作创新研究团队
Understanding structural evolution of galaxies with machine learning
- 批准号:n/a
- 批准年份:2022
- 资助金额:10.0 万元
- 项目类别:省市级项目
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
- 批准号:62003314
- 批准年份:2020
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
集成上下文张量分解的e-learning资源推荐方法研究
- 批准号:61902016
- 批准年份:2019
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
具有时序迁移能力的Spiking-Transfer learning (脉冲-迁移学习)方法研究
- 批准号:61806040
- 批准年份:2018
- 资助金额:20.0 万元
- 项目类别:青年科学基金项目
基于Deep-learning的三江源区冰川监测动态识别技术研究
- 批准号:51769027
- 批准年份:2017
- 资助金额:38.0 万元
- 项目类别:地区科学基金项目
具有时序处理能力的Spiking-Deep Learning(脉冲深度学习)方法研究
- 批准号:61573081
- 批准年份:2015
- 资助金额:64.0 万元
- 项目类别:面上项目
基于有向超图的大型个性化e-learning学习过程模型的自动生成与优化
- 批准号:61572533
- 批准年份:2015
- 资助金额:66.0 万元
- 项目类别:面上项目
E-Learning中学习者情感补偿方法的研究
- 批准号:61402392
- 批准年份:2014
- 资助金额:26.0 万元
- 项目类别:青年科学基金项目
相似海外基金
Understanding the Impact of Outdoor Science and Environmental Learning Experiences Through Community-Driven Outcomes
通过社区驱动的成果了解户外科学和环境学习体验的影响
- 批准号:
2314075 - 财政年份:2024
- 资助金额:
$ 45万 - 项目类别:
Continuing Grant
Integrating Self-Regulated Learning Into STEM Courses: Maximizing Learning Outcomes With The Success Through Self-Regulated Learning Framework
将自我调节学习融入 STEM 课程:通过自我调节学习框架取得成功,最大化学习成果
- 批准号:
2337176 - 财政年份:2024
- 资助金额:
$ 45万 - 项目类别:
Standard Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 45万 - 项目类别:
Continuing Grant
CAREER: Closing the Loop between Learning and Communication for Assistive Robot Arms
职业:关闭辅助机器人手臂的学习和交流之间的循环
- 批准号:
2337884 - 财政年份:2024
- 资助金额:
$ 45万 - 项目类别:
Standard Grant
CAREER: Adaptive Deep Learning Systems Towards Edge Intelligence
职业:迈向边缘智能的自适应深度学习系统
- 批准号:
2338512 - 财政年份:2024
- 资助金额:
$ 45万 - 项目类别:
Continuing Grant
CAREER: Data-Enabled Neural Multi-Step Predictive Control (DeMuSPc): a Learning-Based Predictive and Adaptive Control Approach for Complex Nonlinear Systems
职业:数据支持的神经多步预测控制(DeMuSPc):一种用于复杂非线性系统的基于学习的预测和自适应控制方法
- 批准号:
2338749 - 财政年份:2024
- 资助金额:
$ 45万 - 项目类别:
Standard Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 45万 - 项目类别:
Continuing Grant
RII Track-4:NSF: HEAL: Heterogeneity-aware Efficient and Adaptive Learning at Clusters and Edges
RII Track-4:NSF:HEAL:集群和边缘的异质性感知高效自适应学习
- 批准号:
2327452 - 财政年份:2024
- 资助金额:
$ 45万 - 项目类别:
Standard Grant
RII Track-4:NSF: Physics-Informed Machine Learning with Organ-on-a-Chip Data for an In-Depth Understanding of Disease Progression and Drug Delivery Dynamics
RII Track-4:NSF:利用器官芯片数据进行物理信息机器学习,深入了解疾病进展和药物输送动力学
- 批准号:
2327473 - 财政年份:2024
- 资助金额:
$ 45万 - 项目类别:
Standard Grant
Collaborative Research: NCS-FR: Individual variability in auditory learning characterized using multi-scale and multi-modal physiology and neuromodulation
合作研究:NCS-FR:利用多尺度、多模式生理学和神经调节表征听觉学习的个体差异
- 批准号:
2409652 - 财政年份:2024
- 资助金额:
$ 45万 - 项目类别:
Standard Grant