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

• 批准号: 1719501
• 负责人: Gurcan Comert
• 金额: $ 40万
• 依托单位: Benedict College
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1719501&HistoricalAwards=false
• 关键词: Targeted; Infusion; Project; Active; Problem

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.

历史上的黑人学院和大学本科生计划（HBCU-UP）通过有针对性的输液项目支持开发，实施和基于证据的创新模式和方法的研究，以提高HBCU本科生的准备和成功，使他们可以追求科学，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将主动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，形成性和总结性评价的强有力计划是该项目的一部分。本尼迪克特学院的一批科学和工程教师将把培养有效批判性思维（EFFECT）模型的环境纳入他们的教学和指导学生研究。EFFECT侧重于模块化探究式课程内容，以培养批判性思维技能和团队协作技能。EFFECT是由南卡罗来纳州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破坏性技术为主题的EFFECT模型将提高学生的兴趣，学习，保留和研究能力。三个具体目标是：开发用于教学和研究的自动驾驶汽车学习实验室;在课堂上建立主动和基于问题的学习能力;并将EFFECT模型整合到本科生研究经验中。

项目成果

Switching Strategy for Connected Vehicles Under Variant Harsh Weather Conditions

• 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

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

• 发表时间: 2020
• 期刊: 2019 ASEE Annual Conference & Exposition
• 作者: Pierce, C. E.

Change Point Models for Real-time V2I Cyber Attack Detection in a Connected Vehicle Environment

• 发表时间: 2018-11
• 期刊: ArXiv
• 作者: G. Comert;Mizanur Rahman;Mhafuzul Islam;M. Chowdhury

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: IEEE Transactions on Intelligent Transportation Systems
• 影响因子: 8.5
• 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