Creating a Virtual Infrastructure for Engaging Rural Youth in STEM Disciplines through Computer Science
创建虚拟基础设施,让农村青年通过计算机科学参与 STEM 学科
基本信息
- 批准号:1543040
- 负责人:
- 金额:$ 199.97万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-01-01 至 2020-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase students' motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM) by developing and studying an educational intervention for rural youth to engage with computer science and math concepts through a popular videogame. This project uses the software environment Minecraft, which has already attracted over 100 million users, as a platform for teaching middle schoolers about math and computing concepts. Curriculum and assessment 'badges' will be developed to motivate and teach youth. Research will study how implementing the curriculum in in-school settings, and in afterschool settings through 4-H, influences youngsters' knowledge of math and programming, their attitudes and inclination to STEM careers, and their standardized test scores.This project proposes to use LearnToMod for Minecraft to engage rural middle school learners (5th to 8th grades) in programming, spatial reasoning, and problem-solving skills. LearnToMod will be piloted with approximately 80 4-H Extension participants and 80 in-school participants, and then a larger implementation will be launched to involve a total of approximately 1000 students in urban and rural areas through five more iterations of curricular refinement. Outcomes will be examined using case studies, participation logs, teacher and student surveys, the badges and embedded assessments developed by the project, and standardized test data from the Maine Department of Education's State Longitudinal Data System. The project will use multi-level mixture modeling to identify specific school characteristics that are associated with different usage and engagement patterns by both students and teachers. Similar analyses will use school-level variables and characteristics, such as poverty, access to resources, existing STEM programs/activities, etc., as predictors of implementation and change in reported teacher attitudes and behavior, such as incorporation of computer science into STEM areas. These analyses will focus on the cross-level interaction/moderator relationships between behaviors of participating students and teachers and school-level characteristics or demographics (e.g., what types of computer programming activities or skills are associated with the greatest change specifically in low-versus-high income schools?).The partnership consists of education and computer science researchers at the University of Maine, the nonprofit ThoughtSTEM, UMaine Cooperative Extension (4-H), the Network Maine state cyberinfrastructure project and the Maine Department of Education's Learning Technology Initiative (MLTI), plus K-12 partners. K-12 partners include the Western Foothills Regional School Unit, Eastern Maine AOS, Bangor School Department, Southern Maine SAD Cumberland and North Yarmouth, and the Maine Virtual Academy. Formal evaluation will be conducted by TERC, an independent research organization.
该项目将推动“学生和教师创新技术体验”(ITEST)方案的努力,通过开发和研究一种教育干预措施,让农村青年通过流行的视频游戏接触计算机科学和数学概念,更好地理解和促进提高学生在科学、技术、工程或数学领域从事职业的动机和能力的做法。 该项目使用已经吸引了超过1亿用户的软件环境Minecraft作为教授中学生数学和计算概念的平台。将制定课程和评估“徽章”,以激励和教育青年。研究通过4-H在校内和课外实施该课程,如何影响青少年的数学和编程知识、对STEM职业的态度和倾向,以及标准化考试成绩。本项目计划使用LearnToMod for Minecraft,让农村中学生(5 - 8年级)学习编程、空间推理和解决问题的能力。LearnToMod将在大约80名4-H扩展参与者和80名在校参与者中进行试点,然后将启动更大规模的实施,通过五次课程优化迭代,使城市和农村地区的大约1000名学生参与其中。将使用案例研究、参与日志、教师和学生调查、项目开发的徽章和嵌入式评估以及来自缅因州教育部州纵向数据系统的标准化测试数据来检查结果。该项目将使用多层次混合模型来确定与学生和教师的不同使用和参与模式相关的特定学校特征。类似的分析将使用学校一级的变量和特征,如贫困,获得资源,现有的STEM计划/活动等,作为实施和报告的教师态度和行为的变化的预测因子,例如将计算机科学纳入STEM领域。这些分析将侧重于参与学生和教师的行为与学校层面的特征或人口统计数据(例如,什么类型的计算机编程活动或技能与最大的变化有关,特别是在低收入学校和高收入学校?该合作伙伴关系由缅因州大学的教育和计算机科学研究人员、非营利组织EightSTEM、缅因州合作推广(4-H)、网络缅因州国家网络基础设施项目和缅因州教育部的学习技术倡议(MLTI)以及K-12合作伙伴组成。K-12合作伙伴包括西部山麓地区学校单位,东部缅因州AOS,班戈尔学校部门,南部缅因州SAD坎伯兰和北雅茅斯,以及缅因州虚拟学院。正式评估将由独立研究机构TERC进行。
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)
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Bruce Segee其他文献
Methods in Neuronal Modeling: from Ions to Networks, 2nd Edition
神经元建模方法:从离子到网络,第二版
- DOI:
- 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
Bruce Segee - 通讯作者:
Bruce Segee
Bruce Segee的其他文献
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{{ truncateString('Bruce Segee', 18)}}的其他基金
CC* Regional: You Can Get There from Here: Advancing Cyberinfrastructure Connectivity in Underserved Northern New England
CC* 区域:您可以从这里到达:在服务欠缺的新英格兰北部推进网络基础设施连接
- 批准号:
2201231 - 财政年份:2022
- 资助金额:
$ 199.97万 - 项目类别:
Standard Grant
CC*DNI Engineer: Cyber Infrastructure Engineer to Improve Research Effectiveness Across the University of Maine System
CC*DNI 工程师:提高缅因大学系统研究效率的网络基础设施工程师
- 批准号:
1541346 - 财政年份:2016
- 资助金额:
$ 199.97万 - 项目类别:
Continuing Grant
IDEAS: Inquiry-based Dynamic Earth Applications of Supercomputing, Seeing the Big Picture with Information Technology
想法:基于查询的超级计算动态地球应用,通过信息技术了解全局
- 批准号:
0737583 - 财政年份:2007
- 资助金额:
$ 199.97万 - 项目类别:
Standard Grant
MRI: Acquisition of Interactive Visualization Tools for Supercomputer Models
MRI:获取超级计算机模型的交互式可视化工具
- 批准号:
0619430 - 财政年份:2006
- 资助金额:
$ 199.97万 - 项目类别:
Standard Grant
RESEARCH INITIATION AWARD: The Application of Neural Networks to Gas Sensors
研究启动奖:神经网络在气体传感器中的应用
- 批准号:
9309012 - 财政年份:1993
- 资助金额:
$ 199.97万 - 项目类别:
Continuing Grant
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