Virtual Conference
July 26, 2021
July 26, 2021
July 19, 2022
Engineering Technology
10
10.18260/1-2--37170
https://peer.asee.org/37170
417
Dr. Suleiman Obeidat received his Ph. D. in Industrial Engineering from University of Oklahoma in 2008. Dr. Obeidat joined the Engineering Technology and Industrial Distribution Department at Texas A&M University in Fall 2015. Dr. Obeidat teaches different courses such as Product Design and Solid Modeling, Materials and Manufacturing, Mechanics for Technologists, Quality Assurance and Manufacturing Processes. He developed an Undergraduate course for Industrial Distribution Students. That course explains different concepts in materials and manufacturing. Dr. Obeidat’s research focuses on inspection of machined surfaces using Coordinate machines (CMM). Dr. Obeidat works on Additive manufacturing of composite materials and nanoparticles. Dr. Obeidat is a reviewer for different journals in manufacturing and measurement. He has written more than 12 journal articles. Recently two papers have been published in journal of composites part B and journal of manufacturing processes. Three conference papers have been published in NAMRC 46 conference, which was held in June 2018 at Texas A&M University. Another conference paper has been published also in Proceedings of the 2019 Conference for Industry and Education Collaboration, ASEE 2019.
A highly energic and dedicated Ph.D. civil engineering woman with strong teaching skills, research, and project management. An expert in geotechnical/structural analysis and design. I am committed and responsible for offering students my expertise to help them in their academic and professional goals. I have excellent experience working in a diverse cultural environment.
Education has changed dramatically with the surging growth of online learning since the COVID-19 pandemic began, and the entire globe has turned away from classrooms. Teaching has moved to be via digital platforms. With this abrupt shift to digital learning, a concern has been raised about how this shift will affect worldwide learning. This research aims to study the impact of the COVID-19 switch on student performance and whether online learning can deliver the same academic student performance as face-to-face. The data of this study was compiled from three engineering courses taught at the engineering technology department at a public university in Texas. The complexity of these courses ranges from low, average, and high levels for courses A, B, and C, respectively. An analysis of variance (ANOVA) was used to compare the differences in student performance outcomes of three exams and other graded assignments. The impact of four learning modalities, involving face-to-face (F2F), synchronous, asynchronous, and mixed (F2F and synchronous), was explored. The results of the overall mean scores show that, for courses B and C, the student performance outcomes are higher in the mixed (F2F and synchronous) and online groups (synchronous and asynchronous groups) than in the F2F group. For course A, there is a significant difference in the overall academic performance of online learning modes compared to F2F. Whereby, in general, the F2F mode delivers a higher level of student performance outcomes than that delivered by mixed and asynchronous groups for these kinds of courses.
Obeidat, S. M., & Hajjat, J. A. (2021, July), Face-to-Face and E-learning Styles for Undergraduate Engineering Technology Students During COVID-19 Pandemic Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--37170
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