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Evaluating Individual Learning Effectiveness on Project-Based Learning Methodology by Comparing Team-Based and Individually Assigned Projects

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Conference

2016 ASEE Annual Conference & Exposition

Location

New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

August 28, 2016

ISBN

978-0-692-68565-5

ISSN

2153-5965

Conference Session

Innovative Project-Based Learning Practices in Manufacturing

Tagged Division

Manufacturing

Page Count

7

DOI

10.18260/p.26753

Permanent URL

https://peer.asee.org/26753

Download Count

254

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Paper Authors

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Tzu-Liang Bill Tseng University of Texas - El Paso

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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.

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Aditya Akundi University of Texas - El Paso Orcid 16x16 orcid.org/0000-0002-8656-7002

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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

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Teresa Wu Arizona State University

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Dr. Teresa Wu is a Professor in School of Computing, Informatics, Decision Systems Engineering at Arizona State University. Her expertise lies in distributed decision support and informatics. Dr. Wu has published over 80 journal papers in Information Science Journal, ASME Transactions: Journal of Computing and Information Science in Engineering, IEEE Transactions on Engineering Management. She is currently serving on editorial board for IEEE Transactions on Engineering Management, International Journal of Production Research, Computer and Standard Interface, International Journal of Electronic Business Management, Medical and Health Informatics. Her research has been funded by NSF, DoD, AFIT, NPS, U.S. Department of Education, Intel, IBM, Mayo Clinic.

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Yirong Lin University of Texas - El Paso

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Dr. Yirong Lin is currently an Assistant Professor in Department of Mechanical Engineering the University of Texas at El Paso. Before that, he was a postdoc at University of Florida and Arizona State University from 2009 to 2011. He received his Ph.D. degree in Mechanical Engineering from Arizona State University in 2009. Dr. Lin's research interests fall in design, fabrication and characterization of advanced multifunctional material systems for embedded sensing, structural health monitoring, vibration and solar energy harvesting and storage. His research encompasses micromechanics modeling, materials synthesis, structural characterization and device evaluation. The goal of his research is to develop advance structural materials for the next generation ground, aerial and space vehicles with enhanced safety and energy efficiency. Since 2012, his research has been funded by DOE, DOEd, and DOD with a total of 3 million, of which 1.4 million as PI. He has published or submitted 49 technical articles since 2007 (25 referred journals and 24 conference proceedings). Dr. Lin’s teaching interests lies in Mechanical Design, Solid Mechanics, and Dynamics. Currently, he is advising 4 Ph.D. students, 3 Master students, and 2 undergraduate students. Since 2011, 5 Master students graduated from his group. He was awarded the Best Paper at SAMPE 2008 fall technical conference, Honorable Mentioned Best Student Paper at SMASIS 2009 fall conference and ASME Best Paper in Materials of 2010 at SPIE Smart Materials/NDE 2011 conference. He is a member of ASME, SPIE, SAMPE and AIAA.

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Hugh Jack Western Carolina University Orcid 16x16 orcid.org/0000-0003-4299-8561

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Dr. Jack is not an author.

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Abstract

Engineering education has attained significant attention in recent years due to the increasing need to better prepare future engineers for the challenges in modern industrial settings. Among these, finding solutions to complex analytical problems through collaboration, using abilities such as self-learning can be considered the most critical challenges. Project-based learning has surged as a solution in educational institutions to better prepare students in both analytical and interpersonal skills, which are in high demand for engineering professionals. In the Project-based learning methodology, team projects bring several advantages to traditional learning methods such as promoting collaboration, cultivating inter-personal skillset, learning outside of the classroom and critical thinking. However, it can also have uneven distribution of the workload where only certain members of the team learn the intended topics. This results in low student-learning effectiveness when focusing on the classroom average outcome. This project focuses on evaluating the effectiveness of project-based learning by utilizing a component design problem, based on constraints and expectations, and comparing the final component design, the project report and evaluation results from the project performed in groups and individually in two different classes. This learning assessment was conducted in the Mechanical Design class, a junior level course in the Mechanical Engineering curriculum. The potential impact that working in a team or individually has on a student will be assessed by evaluating the performance of each student with a written report and an in-class quiz regarding the topics of the project.

Tseng, T. B., & Akundi, A., & Wu, T., & Lin, Y., & Jack, H. (2016, June), Evaluating Individual Learning Effectiveness on Project-Based Learning Methodology by Comparing Team-Based and Individually Assigned Projects Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26753

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