Targeted Infusion Project: Infusion of Active and Problem-Based Learning for Teaching and Research in the Context of Transportation Disruptive Technologies
Targeted Infusion Project: Infusion of Active and Problem-Based Learning for Teaching and Research in the Context of Transportation Disruptive Technologies
批准号:
1719501
负责人:
Gurcan Comert
金额:
$40.0万
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
项目状态:
已结题
起止时间:
2017-05-15 至 2023-04-30
中文摘要
历史黑人学院和大学本科项目(HBCU-UP)通过有针对性的灌输项目,支持基于证据的创新模式和方法的开发、实施和研究,以改善HBCU本科学生的准备和成功,使他们能够攻读科学、技术、工程或数学(STEM)研究生课程和/或职业。本尼迪克特学院的这个项目旨在通过在计算机科学、工程、数学和物理课程中注入积极的和基于问题的学习策略来加强本科教育。这些活动和策略是以证据为基础的,形成性和终结性评估的强有力的计划是项目的一部分。本尼迪克特学院理工科教员的队列将把培养有效批判性思维(Effect)模式的环境纳入他们的教学和学生研究指导中。Effect专注于模块化的探究式课程内容,以培养批判性思维能力和协作团队合作能力。Effect是由南卡罗来纳大学的教职员工开发的,其中两人参与了这个项目。预计在教学和研究中应用以交通颠覆性技术为主题的效果模型将提高学生的兴趣、学习、保持和研究能力。三个具体目标是:发展用于教学和研究的自动车辆学习实验室;在课堂上建设主动和基于问题的学习的能力;将效果模型整合到本科生的研究经验中。
英文摘要
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.
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DOI:
10.1109/jrfid.2023.3274602
发表时间:
2023
期刊:
IEEE Journal of Radio Frequency Identification
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
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:
2019 ASEE Annual Conference & Exposition
影响因子:
--
作者:
[Pierce, C. E.]
通讯作者:
Pierce, C. E.
DOI:
--
发表时间:
2018-11
期刊:
ArXiv
影响因子:
--
作者:
[G. Comert;Mizanur Rahman;Mhafuzul Islam;M. Chowdhury]
通讯作者:
G. Comert;Mizanur Rahman;Mhafuzul Islam;M. Chowdhury
DOI:
10.1109/tits.2021.3113675
发表时间:
2020-03
期刊:
IEEE Transactions on Intelligent Transportation Systems
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
Pavement Distress Identification Based on Computer Vision and Controller Area Network (CAN) Sensor Models
基于计算机视觉和控制器局域网 (CAN) 传感器模型的路面病害识别
DOI:
10.3390/su15086438
发表时间:
2023
期刊:
Sustainability
影响因子:
3.9
作者:
[Ruseruka, Cuthbert, Mwakalonge, Judith, Comert, Gurcan, Siuhi, Saidi, Ngeni, Frank, Major, Kristin]
通讯作者:
Major, Kristin
共 12 条
Collaborative Research: SHF: Small: Sub-millisecond Topological Feature Extractor for High-Rate Machine Learning
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批准号:2234920
-
项目类别:Standard Grant
-
资助金额:$13.11万
-
财政年份:2023
-
负责人:Gurcan Comert
-
依托单位:
CISE-MSI: DP: CPS: Statistical and Artificial Intelligence-based Cyberattack Detection Models for Connected Vehicles
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批准号:2131080
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项目类别:Standard Grant
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资助金额:$49.96万
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财政年份:2021
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负责人:Gurcan Comert
-
依托单位:
RESEARCH INITIATION AWARD GRANT: STATISTICAL MODELS FOR REAL-TIME PARAMETER PREDICTION FROM PROBE VEHICLE DATA AT TRAFFIC INTERSECTIONS
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批准号:1238705
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项目类别:Standard Grant
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资助金额:$19.83万
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财政年份:2012
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负责人:Gurcan Comert
-
依托单位:
海外基金