New Orleans, Louisiana
June 26, 2016
June 26, 2016
June 29, 2016
978-0-692-68565-5
2153-5965
Manufacturing
11
10.18260/p.25827
https://peer.asee.org/25827
485
Dr. Tseng is a Professor and Chair of Industrial, Manufacturing and Systems Engineering at UTEP. His research focuses on the computational intelligence, data mining, bio- informatics and advanced manufacturing. Dr. Tseng published in many refereed journals such as IEEE Transactions, IIE Transaction, Journal of Manufacturing Systems and others. He has been serving as a principle investigator of many research projects, funded by NSF, NASA, DoEd, KSEF and LMC. He is currently serving as an editor of Journal of Computer Standards & Interfaces.
Aditya Akundi is currently a doctoral student at the University of Texas at El Paso in the Electrical and Computer Engineering Department, Industrial and Systems Engineering (ISE) track. He earned a Master of Science in Electrical and Computer Engineering at the University of Texas at El Paso (UTEP) in 2012. He has worked on a number of projects in the field of Electrical & Computer Engineering, Systems Engineering, Additive Manufacturing and Green Energy Manufacturing. He is the current president of INCOSE UTEP student chapter along with being involved in UTEP Green Fund committee. His research interests are in Systems Engineering & Architecture, Complex systems, Systems testing and Application of Entropy to Complex Systems.
Email: sakundi@miners.utep.edu
Dr. Richard Chiou is Associate Professor within the Engineering Technology Department at Drexel University, Philadelphia, USA. He received his Ph.D. degree in the G.W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. His educational background is in manufacturing with an emphasis on mechatronics. In addition to his many years of industrial experience, he has taught many different engineering and technology courses at undergraduate and graduate levels. His tremendous research experience in manufacturing includes environmentally conscious manufacturing, Internet based robotics, and Web based quality. In the past years, he has been involved in sustainable manufacturing for maximizing energy and material recovery while minimizing environmental impact.
Interactions create webs of interconnected activities, and may give rise to emergent phenomenon. The word interaction in educational settings refers to person-to-person communication, and thus exists in in-class discussions, in-class debates, and so forth. Educational settings that emerge from such collaborations give rise to a network of interactions among the stakeholders involved. This paper briefs an exploration on the concepts of social network analysis and their ability to shed light on the impacts of incorporating social network platforms in educational settings. In this paper we try to analyze the information flow based on undergraduate student online interaction patterns to understand their learning of Simulation (XXXX) and Senior Design (XXXX) courses offered at The University of XXXXXXXXX. Online Facebook groups were created as a part of this study to initiate a computer mediated communication platform for students to connect and engage in classroom based meaningful discussions. We use Netvizz, a data extraction tool to collect data from student groups in Facebook social networking platform. The networks constructed using this data are analyzed both qualitatively and quantitatively for understanding the interaction patterns observed.
Tseng, T. B., & Akundi, A., & Chiou, R. (2016, June), Social Network Platforms in Educational Settings: A Network Analysis Approach to Analyze Online Student Interactions Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25827
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