A Blend Flex Engineering Mechanics Course
- Conference
- Location
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Virtual Conference
- Publication Date
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July 26, 2021
- Start Date
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July 26, 2021
- End Date
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July 19, 2022
- Conference Session
- Tagged Division
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Mechanics
- Page Count
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26
- DOI
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10.18260/1-2--36552
- Permanent URL
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https://216.185.13.131/36552
- Download Count
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375
Paper Authors
Jiehong Liao Florida Gulf Coast University
Dr. Jiehong Liao is an Assistant Professor in the Department of Bioengineering at Florida Gulf Coast University (FGCU). She earned a B.S. in Biomedical Engineering from Rensselaer Polytechnic Institute (RPI) in 2004 with the Rensselaer Medal award and as a member of the inaugural class of Gates Millennium Scholars. In 2011, she earned a Ph.D. in Bioengineering from Rice University. Before joining FGCU in 2015, she was a visiting Assistant Professor of Biotechnology in the Division of Science and Technology at the United International College (UIC) in Zhuhai China. She has been exploring and applying evidence-based strategies for instruction since her training with ASCE's Excellence in Civil Engineering Education (ExCEEd) initiative in 2016. In addition to the scholarship of teaching and learning, her research interests and collaborations are in the areas of biomaterials, cellular mechanotransduction, tissue engineering, and regenerative medicine.
Galen I. Papkov Florida Gulf Coast University
Dr. Galen I. Papkov is an Associate Professor of Statistics in the Department of Mathematics at Florida Gulf Coast University. He received his Ph.D. in Statistics from Rice University in 2008, an M.S. in Applied Mathematics from CUNY Hunter College in 2002, and a B.S. in Mathematics and Psychology from SUNY College at Geneseo in 1998. Prior to entering academia, Dr. Papkov was an actuarial analyst in New York City. His primary research focus is in the field of nonparametric density estimation with applications in the areas of classification & discrimination, bump hunting, and change-point analysis. He also has experience and interests in design and analysis of surveys, multivariate analysis, regression modeling, and data mining.
Ashraf Badir P.E. Florida Gulf Coast University
Dr. Badir is an Associate Professor in the Environmental and Civil Engineering Department at the U.A. Whitaker College of Engineering in Florida Gulf Coast University. He earned his B.Sc. (1982) in Civil Engineering and M.Sc. (1985) in Structural Engineering from Alexandria University, Egypt. He also holds a M.Sc. (1989) and a Ph.D. (1992) in Aerospace Engineering from Georgia Institute of Technology. He is a civil engineering program evaluator for ABET, a member of the American Society of Civil Engineers (ASCE) and the American Society of Engineering Education (ASEE).
Robert O'Neill P.E. Florida Gulf Coast University
Dr. ROBERT (BOB) J. O’NEILL is a Professor in the Department of Environmental and Civil Engineering, U.A. Whitaker College of Engineering, Florida Gulf Coast University. He received a B.S. from the United States Military Academy in 1975, an M.S. in Structural Engineering and an M.S. in Geotechnical Engineering from Stanford University in 1984 and a Ph.D. in Structural Engineering from Kansas State University in 1993. Prior to his coming to FGCU he was a Professor of Engineering at Roger Williams University and an Associate Professor and Director of the Civil Engineering Analysis Group at the United States Military Academy. Dr. O’ Neill is a retired Lieutenant Colonel, U.S. Army Corps of Engineers. He has been active at the national level with ASCE’s Committee on Accreditation Operations, Technical Council on Computing and Information Technology (TCCIT), Committee on Faculty Development (CFD) and Excellence in Civil Engineering Education (ExCEEd) initiative. Dr. O’Neill is a licensed Professional Engineer in California, Florida, Nevada and Virginia. He is a civil engineering program evaluator for ABET. He is an American Society of Civil Engineering Fellow (ASCE), a member of the American Society for Engineering Education (ASEE), and Phi Kappa Phi National Honor Society.
Abstract
The sudden eruption of a global pandemic has conveyed enormous changes to college campuses. Universities had to suddenly switch to virtual teaching and this shift appears to be here awhile. While different disciplines vary in their degree of ease in adapting quickly to a new mode of teaching, the faculty has to be innovative in using available technology to successfully switch to remote teaching, while keeping or increasing even further the efficiency of conveying the content of their courses.
Faculty at xxx University teaching “Engineering Mechanics, Statics and Dynamics” a sophomore-level 4-credit hour course covering both engineering statics and dynamics, shifted to a Blend Flex mode of course delivery with a virtual asynchronous component. The class is split into two cohorts for in-person class meetings. The Learning Management System (Canvas) modules are organized into lesson pages with objectives and materials posted for each lesson. Before attending their assigned sessions, students review the reading assignments and lesson videos. Each face-to-face meeting covers two lessons, as both cohorts interchange meeting days to accommodate half the registered students and maintain social distancing. Students are asked to watch the lesson videos, come to class prepared with any questions and be ready to practice in-class problems.
The class is scheduled for three days per week, 100 minutes per session. Cohort A meets every Monday, Cohort B meets every Friday, and both alternate the cohort meeting on Wednesday. Each cohort has separate quiz days based on their meeting schedule; both cohorts have the same exam days with students spread out in two classrooms to maintain social distancing. Instructors hold office hours by appointment, either face-to-face or virtual. AEE Learning Assistant (LA) is available to help all students with learning course concepts, practice problems, and review for assessments (quizzes and exams). The LA holds online office hours in the evenings and weekends as needed.
This study will provide an assessment of students’ performance on quizzes and exams for the sections using Blend Flex mode taught in Fall 2020, compared to previous semesters where students were taught face-to-face. A summary of students’ perceptions will be provided based on extensive surveys and questionnaires throughout the semester.
Liao, J., & Papkov, G. I., & Badir, A., & O'Neill, R. (2021, July), A Blend Flex Engineering Mechanics Course Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--36552
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