The Success of Three-Attempt Testing on Students Learning Outcomes Despite the Deliverance by Different Faculty in an Engineering Course: Dynamics
- Conference
- Location
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Marietta, Georgia
- Publication Date
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March 10, 2024
- Start Date
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March 10, 2024
- End Date
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March 12, 2024
- Page Count
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9
- DOI
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10.18260/1-2--45575
- Permanent URL
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https://sftp.asee.org/45575
- Download Count
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10
Paper Authors
Marino Nader University of Central Florida
Dr. Marino Nader is an Associate lecturer in the Mechanical and Aerospace Engineering Department at the University of Central Florida and has been working on digitizing courses and exams, creating different course modalities. Dr. Nader obtained his B.Eng., M.Eng. and Ph.D. from McGill University. His Ph.D. was done in conjunction with the Canadian Space Agency where he spent two years doing research and experiments. Upon completion of his Ph.D. he began working in the Aerospace Industry where he spent over 10 years as a Stress Analyst/Consultant. At present he enjoys working on Distributed Electric Propulsion (DEP) with his students, designing, analyzing, constructing and flying Unmanned Aerial Vehicles. Dr. Nader won a few awards in the past few years, among these are the College of Engineering Award of Excellence in Undergraduate Teaching (2023), Excellence in Faculty Academic Advising for the Department of Mechanical Engineering (2020). In addition, he is also a Co-PI on the NSF-supported HSI Implementation and Evaluation Project: Enhancing Student Success in Engineering Curriculum through Active e-Learning and High Impact Teaching Practices (ESSEnCe).
Dr. Fu is an assistant professor in the Mechanical and Aerospace Engineering department and Biionix cluster at UCF. He received his PhD from Arizona State University, MS from University at Buffalo, and BS from Tsinghua University. Dr. Fu’s laboratory focuses on the neural control of human upper extremities using interdisciplinary approaches such as robotics, virtual reality, and neural imaging. His research on human manual dexterity has broad applications in brain-machine interfaces, neurorehabilitation, and assistive devices.
Qiushi Fu University of Central Florida
Dr. Fu’s laboratory focuses on the neural control of human upper extremities using interdisciplinary approaches such as robotics, virtual reality, and neural imaging. His research on human manual dexterity has broad applications in brain-machine interfaces, neurorehabilitation, and assistive devices. Before joining UCF in 2018, he was a research professor at Arizona State University. He received his PhD from Arizona State University, MS from University at Buffalo, and BS from Tsinghua University. His research has been supported by NIH and DARPA.
Abstract
The Success of Multiple-Attempt Testing on Students Learning Outcomes Despite the Deliverance by Different Faculty in an Engineering Course: Dynamics
Marino Nader, Qiushi Fu Department of Mechanical and Aerospace Engineering, and University of Central Florida, Orlando, FL 32816-2362
Abstract It seems that multiple-attempt testing has its effects and benefits on students learning outcomes from the perspective of those who designed their courses in that fashion. However, the question remains whether it works with some other instructors for the same course design. The Spring 2022 Dynamics class of 157 students involved in this study, was given in class once a week in blended M-mode by a different instructor than the one who originally designed it, with minor changes. Three attempts, with randomized questions were given for each of the three tests performed remotely using LockDown Browser, Proctor Hub and Respondus monitor to maintain testing integrity. All attempts were performed digitally within a week using CANVAS Learning Management System (LMS), each attempt was instantly graded, and the results were immediately released for the students to seek help, where needed. An increase in students’ success improved with a minimum of 56% between the first and the third attempts. However, the overall success average students’ success is 143%. This reflects higher students’ learning outcomes. The three attempt testing decreases students’ anxiety and prepares the students for a motivating scaffolded learning process with less stress than traditional methods. When comparing Spring semesters, 2022 to Spring 2021 delivered in class as Mixed mode and Virtually during COVID-19, respectively, the general trend of incremental improvement was consistent for all three attempts, be it in the number of students succeeding or the overall class average. Students were asked in class of their preference; they were all accord that the three-attempt testing was more agreeable than the one-attempt class test.
Nader, M., & Fu, Q. (2024, March), The Success of Three-Attempt Testing on Students Learning Outcomes Despite the Deliverance by Different Faculty in an Engineering Course: Dynamics Paper presented at 2024 South East Section Meeting, Marietta, Georgia. 10.18260/1-2--45575
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