Exploring the Use of Social Media in Engineering Education—Preliminary Findings from a Systematic Literature Review
- Conference
- Location
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Baltimore , Maryland
- Publication Date
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June 25, 2023
- Start Date
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June 25, 2023
- End Date
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June 28, 2023
- Conference Session
- Tagged Division
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Educational Research and Methods Division (ERM)
- Page Count
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20
- DOI
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10.18260/1-2--43653
- Permanent URL
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https://strategy.asee.org/43653
- Download Count
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178
Paper Authors
Khondhaker Al Momin
University of Oklahoma
orcid.org/0000-0002-4548-9837
Khondhaker Al Momin is a Senior Lecturer in the Department of Civil Engineering at Daffodil International University in Dhaka, Bangladesh. He holds a Bachelor of Science (B.Sc.) and Master of Science (M.Sc.) degree in Civil Engineering from Bangladesh University of Engineering & Technology (BUET). He is pursuing a Doctor of Philosophy (Ph.D.) in Transportation Engineering at the University of Oklahoma (OU) in Norman, USA. Alongside his academic pursuits, he also serves as a Graduate Research Assistant at OU. His research interests encompass diverse areas such as Traffic Incident Analysis & Prevention, Traffic Flow Theory, Autonomous Connected Electric, Shared (ACES) vehicles, Big Data Analytics, Network Science, Natural Hazards, Machine Learning, and System Optimization.
Javeed Kittur
University of Oklahoma
orcid.org/0000-0001-6132-7304
Dr. Kittur is an Assistant Professor in the Gallogly College of Engineering at The University of Oklahoma. He completed his Ph.D. in Engineering Education Systems and Design program from Arizona State University, 2022. He received a bachelor’s degree in Electrical and Electronics Engineering and a Master’s in Power Systems from India in 2011 and 2014 respectively. He has worked with Tata Consultancy Services as Assistant Systems Engineer from 2011-2012, India. He has worked as an Assistant Professor (2014 to 2018) in the department of Electrical and Electronics Engineering, KLE Technological University, India. He is a certified IUCEE International Engineering Educator. He was awarded the 'Ing.Paed.IGIP’ title at ICTIEE, 2018. He is serving as an Associate Editor of the Journal of Engineering Education Transformations (JEET).
He is interested in conducting engineering education research and his interests include student retention in online and in-person engineering courses/programs, data mining and learning analytics in engineering education, broadening student participation in engineering, faculty preparedness in cognitive, affective, and psychomotor domains of learning, faculty experiences in teaching online courses. He has published papers in several engineering education research conferences and journals. Particularly, his work is published in the International Conference on Transformations in Engineering Education (ICTIEE), American Society for Engineering Education (ASEE), Computer Applications in Engineering Education (CAEE), International Journal of Engineering Education (IJEE), Journal of Engineering Education Transformations (JEET), and IEEE Transactions on Education. He is also serving as a reviewer for a number of conferences and journals focused on engineering education research.
Tahrima Rouf
University of Oklahoma
orcid.org/0000-0001-7973-9008
Dr. Tahrima Rouf is a visiting assistant professor at the Stephenson School of Biomedical Engineering (SBME) at the University of Oklahoma (OU). She received her bachelor's degree in chemical engineering from the Bangladesh University of Engineering and Technology and her doctoral degree from Purdue University. Previously, she served as an instructor at the department of chemical processing technology at Ahsanullah Institute of Technical and Vocational Education and Training (AITVET), Dhaka, Bangladesh. Her academic training and research experience have provided her with an excellent background in multiple interdisciplinary fields, including nanotechnology, materials science, chemical engineering, microbiology, and biochemistry. Her independent research program's main goal is to harness the capabilities of nanomaterials for biomedical applications to produce safer and more effective sensing technology and drug delivery. She gained expertise in the controlled synthesis and biochemical characterization of complex protein nanocomposites. In her teaching, she has been dedicated to engaging students in an interactive learning environment, and she is strongly committed to promoting diversity, equity, and inclusion. As a visiting assistant professor at the University of Oklahoma, Dr. Rouf has received NIH funded grant and she continues to build on her previous training in biopolymers and nanoparticles by moving into a biological system that will allow her to address additional questions regarding the utilization of nanomaterials in cancer diagnosis and drug delivery. Through her teaching, research, and outreach activities Dr. Rouf's is interested in making long-term impacts in cutting-edge research and engineering education.
Arif Mohaimin Sadri University of Oklahoma
Dr. Arif Sadri is an Assistant Professor in the School of Civil Engineering & Environmental Sciences at the University of Oklahoma. Previously, he was an Assistant Professor in the Moss School of Construction, Infrastructure & Sustainability at the Florida International University. He was a Visiting Assistant Professor in the Department of Civil & Environmental Engineering at the Rose-Hulman Institute of Technology and an Adjunct Professor in the Civil Engineering Dept. at the Valparaiso University. Dr. Sadri received his doctoral training from the Lyles School of Civil Engineering at Purdue University with a solid background in Civil Engineering (Transportation), Network Science, and Social Science. Dr. Sadri's research focuses on how transportation systems critically depend on social and other physical systems in the context of natural and man-made hazards. Dr. Sadri develops data-driven and network-based solutions to enhance bottom-up resilience in complex, interdependent systems. Dr. Sadri specializes in resilience engineering, evacuation modeling, shared mobility, social influence modeling, machine learning, agent-based modeling, and network modeling. Dr. Sadri's research is funded by National Science Foundation, United States Department of Transportation, Oklahoma Department of Transportation, Florida Department of Transportation and United States Agency for International Development.
Abstract
Social media is an interactive platform that allows individuals to share their ideas, beliefs, and information to express their thoughts and opinions on different aspects. Social media has been gaining recognition and acceptance in engineering education, and it has been shown to increase student participation, engagement, and learning. To create guidelines for the effective use of social media platforms in engineering education, this theory paper primarily focuses on analyzing the various research studies done in the field by summarizing the different research topics, elements of social media used, and analysis techniques, among others. The articles for this study have been retrieved from various databases, including Scopus, Science Direct, Web of Science, Wiley Online Library, ERIC, IEEE Xplore Library, and Google Scholar. As a part of this literature search, the search phrases used to retrieve articles from these databases are Facebook + Engineering, Instagram + Engineering, and Twitter + Engineering.
The review process involved five distinct steps. Initially, all articles from various databases were gathered and compared to eliminate any duplicates, resulting in a total of 1821 articles. Articles that met the exclusion criteria, such as those published before 2017, articles not focused on engineering, articles in languages other than English, articles with a focus other than Facebook, Instagram, and Twitter, and work-in-progress articles, were removed from the final list. In the second step, these 1821 articles were screened based on their titles and abstracts to assess their relevance and applicability to the study. Out of these, 65 articles were selected for further consideration. Articles not meeting the relevance and applicability criteria were excluded from the study. In the third step, the remaining 48 articles were screened based on their full text to ensure they met the exclusion criteria. In the fourth step, the 21 articles that remained were critically reviewed to extract the relevant information necessary for the analysis. Information such as research questions, research design, data collection, and data analysis, among others, were retrieved from the articles and consolidated in a separate file. Finally, this consolidated information was further analyzed and synthesized to generate observations and trends. The findings indicate that Facebook, Instagram, and Twitter have been used as a learning environment in a few engineering disciplines, including software engineering, civil engineering, mechanical engineering, and electronics engineering. More than half of the sampled articles used quantitative research designs and descriptive statistics for data analysis, and Facebook emerged as the most preferred choice of researchers among the sampled articles.
Momin, K. A., & Kittur, J., & Rouf, T., & Sadri, A. M. (2023, June), Exploring the Use of Social Media in Engineering Education—Preliminary Findings from a Systematic Literature Review Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43653
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