Targeted Infusion Project: Infusion of Active and Problem-Based Learning for Teaching and Research in the Context of Transportation Disruptive Technologies
有针对性的注入项目:在交通颠覆性技术背景下为教学和研究注入主动和基于问题的学习
基本信息
- 批准号:1719501
- 负责人:
- 金额:$ 40万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-05-15 至 2023-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) through Targeted Infusion Projects supports the development, implementation, and study of evidence-based innovative models and approaches for improving the preparation and success of HBCU undergraduate students so that they may pursue science, technology, engineering or mathematics (STEM) graduate programs and/or careers. The project at Benedict College seeks to enhance undergraduate education by infusing active and problem-based learning strategies into computer science, engineering, mathematics, and physics courses. The activities and strategies are evidence-based and a strong plan for formative and summative evaluation is part of the project.A cohort of Benedict College science and engineering faculty members will incorporate the Environments for Fostering Effective Critical Thinking (EFFECT) model in their teaching and guidance of student research. EFFECT focuses on modular inquiry-based course content to develop critical thinking skills and collaborative teamwork skills. EFFECT was developed by University of South Carolina faculty members, two of whom are involved in this project. It is anticipated that applying the EFFECT model with a thematic focus on transportation disruptive technologies in both teaching and research will increase student interest, learning, retention, and research capacity. The three specific objectives are to: develop autonomous vehicles learning laboratories for teaching and research; build capacity for active and problem-based learning in the classroom; and integrate the EFFECT model in undergraduate research experiences.
历史悠久的黑人学院和大学通过有针对性的输液项目(HBCU-UP)支持了基于循证的创新模型和方法的开发,实施和研究,以改善HBCU本科生的准备和成功,以便他们可以追求科学,技术,工程,工程或数学或数学(STEM)毕业生和/或/或/或/或/或或/或或/或/或或/或或/或或/或或/或或/或/或/或/或/或或/或/或或/或护理人员。本尼迪克特学院的项目旨在通过将积极和基于问题的学习策略注入计算机科学,工程,数学和物理课程来增强本科教育。 这些活动和策略是基于证据的,制定形成性和总结性评估的强大计划是该项目的一部分。本尼迪克特学院科学和工程教职员工将纳入培养有效的批判性思维(效果)模型的环境,以纳入他们的学生研究教学和指导中。效果侧重于基于模块化查询的课程内容,以发展批判性的思维能力和协作团队合作技能。效果是由南卡罗来纳大学教职员工制定的,其中两个参与了该项目。可以预料,将效应模型应用于教学和研究中的主题侧重于运输破坏性技术,将增加学生的兴趣,学习,保留和研究能力。这三个特定目标是:开发自动驾驶汽车学习教学和研究实验室;在课堂上建立积极和基于问题的学习的能力;并将效应模型整合到本科研究经验中。
项目成果
期刊论文数量(13)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Board 124: Infusing STEM Courses with Problem-based Learning About Transportation Disruptive Technologies
Board 124:将 STEM 课程与基于问题的交通颠覆性技术学习相结合
- DOI:
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Pierce, C. E.
- 通讯作者:Pierce, C. E.
Change Point Models for Real-time V2I Cyber Attack Detection in a Connected Vehicle Environment
- DOI:
- 发表时间:2018-11
- 期刊:
- 影响因子:0
- 作者:G. Comert;Mizanur Rahman;Mhafuzul Islam;M. Chowdhury
- 通讯作者:G. Comert;Mizanur Rahman;Mhafuzul Islam;M. Chowdhury
Evaluating the impact of traffic volume on air quality in South Carolina
- DOI:10.1016/j.ijtst.2019.05.008
- 发表时间:2020-03-01
- 期刊:
- 影响因子:0
- 作者:Comert, Gurcan;Darko, Samuel;Eloise, Quentin
- 通讯作者:Eloise, Quentin
Switching Strategy for Connected Vehicles Under Variant Harsh Weather Conditions
- DOI:10.1109/jrfid.2023.3274602
- 发表时间:2023
- 期刊:
- 影响因子:3.1
- 作者:Jian Liu;A. Nazeri;Chunheng Zhao;Esmail M. M. Abuhdima-Esmail-M.-M.-Abuhdima-31030309;G. Comert;Chin-Tser Huang;P. Pisu
- 通讯作者:Jian Liu;A. Nazeri;Chunheng Zhao;Esmail M. M. Abuhdima-Esmail-M.-M.-Abuhdima-31030309;G. Comert;Chin-Tser Huang;P. Pisu
Change Point Models for Real-Time Cyber Attack Detection in Connected Vehicle Environment
- DOI:10.1109/tits.2021.3113675
- 发表时间:2020-03
- 期刊:
- 影响因子:8.5
- 作者:G. Comert;Mizanur Rahman;Mhafuzul Islam;M. Chowdhury
- 通讯作者:G. Comert;Mizanur Rahman;Mhafuzul Islam;M. Chowdhury
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Gurcan Comert其他文献
Gurcan Comert的其他文献
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{{ truncateString('Gurcan Comert', 18)}}的其他基金
Collaborative Research: SHF: Small: Sub-millisecond Topological Feature Extractor for High-Rate Machine Learning
合作研究:SHF:小型:用于高速机器学习的亚毫秒拓扑特征提取器
- 批准号:
2234920 - 财政年份:2023
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
CISE-MSI: DP: CPS: Statistical and Artificial Intelligence-based Cyberattack Detection Models for Connected Vehicles
CISE-MSI:DP:CPS:基于统计和人工智能的联网车辆网络攻击检测模型
- 批准号:
2131080 - 财政年份:2021
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
RESEARCH INITIATION AWARD GRANT: STATISTICAL MODELS FOR REAL-TIME PARAMETER PREDICTION FROM PROBE VEHICLE DATA AT TRAFFIC INTERSECTIONS
研究启动奖:根据交通路口探测车辆数据进行实时参数预测的统计模型
- 批准号:
1238705 - 财政年份:2012
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
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- 项目类别:面上项目
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