EAGER: C3STEM: Enabling Community-Situated, Challenge-Based, Collaborative STEM Education Using Broadband Cyber Infrastructure
EAGER: C3STEM: Enabling Community-Situated, Challenge-Based, Collaborative STEM Education Using Broadband Cyber Infrastructure
批准号:
1257955
负责人:
Gautam Biswas
金额:
$29.74万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-10-01 至 2015-03-31
中文摘要
该项目使用宽带通信来支持多元化的STEM学习者社区,包括K-12学生,他们的老师和家长,学校管理人员,社区组织者,城市规划者以及大学教师和研究生。该项目将建立一个基于社区的,基于挑战的,协作的网络学习环境(C3 STEM),利用计算思维,建模,模拟和基于挑战的学习来支持城市交通规划背景下的STEM学习。C3 STEM将利用交通领域作为STEM教育现实问题的来源,通过开发项目,高中生(至少来自两所学校)将合作解决城市和郊区环境中的交通拥堵和安全问题。 以课堂为基础的学生团体将与他们的课堂老师、交通专家和范德比尔特的研究人员合作,分析来自他们家和学校附近地区的真实的交通数据。这种协作努力将使学生了解交通模式,这将支持学生开发基于代理的模型,这些模型与他们所在区域观察到的模式保持一致(例如,在一天的不同时间沿着所选择的大道的沿着交通拥堵以及交通信号灯和州际公路上/下匝道的影响)。 这个过程将教授数据分析和基于计算机的建模的基本概念,并将激发其他与计算机相关的数学和科学课程,如物理概念,如惯性,速度和加速度,以及数学概念,如代数,微积分,概率和统计。 该项目将利用GENI和宽带基础设施提供实时协作会话和大规模数据传输。更广泛的影响:通过宽带通信,来自社区资源的实时数据,计算建模和协作学习的结合,学生的劳动产品将不仅仅是为了一个成绩,而是他们的工作将被视为对社区的贡献。这代表了一种文化转变,不仅将STEM置于积极公民身份的前台,而且还提高了教师和K-12教育的地位。项目结果不仅将通过期刊和会议传播,而且学生项目将在基于网络的“科学博览会”上展示,PI将创建一个维基百科,将课程计划及其评估存档。这个文本可以被社区添加和修改,以及通知和支持未来的社区定位,基于挑战的计划。
英文摘要
This project uses broadband communication to support a diverse community of STEM learners, including K-12 students, their teachers and parents, school administrators, community organizers, city planners, and university faculty and graduate students. The project will build a community-situated, challenge-based, collaborative cyber-learning environment (C3STEM) that harnesses computational thinking, modeling, simulation, and challenge-based learning to support STEM learning in the context of a city traffic planning. C3STEM will use the traffic domain as the source for real-world problems for STEM education by developing projects through which high school students (from at least two schools) will collaboratively address problems of traffic congestion and safety in urban and suburban environments. Classroom-based student groups will work with their classroom teacher, traffic experts, and the Vanderbilt researchers to analyze real traffic data from regions near their homes and schools. The collaborative effort will lead to the students gaining an understanding of the traffic patterns, which will support the students developing agent-based models that align with the observed patterns in their section (e.g., traffic congestion along selected thoroughfares at different times of day and the effects of stoplights and interstate on/off-ramps). This process will teach fundamental concepts of data analysis and computer-based modeling and will motivate other curriculum-related mathematics and science lessons such as, Physics concepts, such as inertia, speed and acceleration, and Mathematical concepts, such as algebra, calculus, probability, and statistics. The project will leverage GENI and broadband infrastructure to provide real-time collaborative sessions and large-scale data transfers.Broader Impact:Via the combination of broadband communication, live data from community resources, computational modeling and collaborative learning, the products of student labor will not simply be for a grade, but their work will be regarded as an contribution to the community. This represents a cultural shift, which not only puts STEM in the foreground of active citizenship, but also raises the stature of teachers and K-12 education. The project results will be not only disseminated through journals and conferences but student projects will be displayed on a Web-based 'science-fair' and the PIs will create a Wikibook that archives the lesson plans and their evaluation. This text can be added to and revised by the community, as well as informing and supporting future community-situated, challenge-based programs.
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会议论文
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