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The CLICK Approach and Its Impact on Learning Introductory Probability Concepts in an Industrial Engineering Course

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Conference

2020 ASEE Virtual Annual Conference Content Access

Location

Virtual On line

Publication Date

June 22, 2020

Start Date

June 22, 2020

End Date

June 26, 2021

Conference Session

Industrial Engineering Division Technical Session 2

Tagged Division

Industrial Engineering

Page Count

17

DOI

10.18260/1-2--35297

Permanent URL

https://peer.asee.org/35297

Download Count

75

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Paper Authors

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Christian Enmanuel Lopez Lafayette College Orcid 16x16 orcid.org/0000-0003-2801-4618

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I am an Assistant Professor of Computer Science with an affiliation in Mechanical Engineering at Lafayette College.

I completed my Ph.D. from the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at the Pennsylvania State University, and a Master of Science in Industrial and Systems Engineering from the Rochester Institute of Technology, NY. I worked in the Service and Manufacturing sectors before pursuing m yPh.D.

I am interested in the design and optimization of intelligent decision support systems and persuasive technologies to augment human proficiencies. My research over the last few years has focused on the development of machine learning methods that personalize the human learning process and enhance the efficiency of task completion and decision making.

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Omar Ashour Pennsylvania State University Orcid 16x16 orcid.org/0000-0003-3775-6445

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Dr. Omar Ashour is an Associate Professor of Industrial Engineering at Pennsylvania State University, The Behrend College. Dr. Ashour received the B.S. degree in Industrial Engineering/Manufacturing Engineering and the M.S. degree in Industrial Engineering from Jordan University of Science and Technology (JUST) in 2005 and 2007, respectively. He received his M.Eng. degree in Industrial Engineering/Human Factors and Ergonomics and the Ph.D. degree in Industrial Engineering and Operations Research from Pennsylvania State University (PSU) in 2010 and 2012, respectively. Dr. Ashour was the inaugural recipient of William and Wendy Korb Early Career Professorship in Industrial Engineering in 2016. Dr. Ashour's research areas include applied decision making, modeling and simulation, virtual reality, and process improvement. He contributed to research directed to improve engineering education.

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James Devin Cunningham

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Conrad Tucker Carnegie Mellon University

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Conrad Tucker is a professor of mechanical engineering. He focuses on the design and optimization of systems through the acquisition, integration, and mining of large scale, disparate data.

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Paul C. Lynch Pennsylvania State University

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Paul C. Lynch received his Ph.D., M.S., and B.S. degrees in Industrial Engineering from the Pennsylvania State University. Dr. Lynch is a member of AFS, SME, IIE, and ASEE. Dr. Lynch’s primary research interests are in metal casting, manufacturing systems, and engineering education. Dr. Lynch has been recognized by Alpha Pi Mu, IIE, and the Pennsylvania State University for his scholarship, teaching, and advising. He received the Outstanding Industrial Engineering Faculty Award in 2011, 2013, and 2015, the Penn State Industrial & Manufacturing Engineering Alumni Faculty Appreciation Award in 2013, and the Outstanding Advising Award in the College of Engineering in 2014 for his work in undergraduate education at Penn State. Dr. Lynch worked as a regional production engineer for Universal Forest Products prior to pursuing his graduate degrees. He is currently an Assistant Professor of Industrial Engineering in the School of Engineering at Penn State Erie, The Behrend College.

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Abstract

The objective of this work is to present an initial investigation of the impact the Connected Learning and Integrated Course Knowledge (CLICK) approach has had on students’ motivation, engineering identity, and learning outcomes. CLICK is an approach that leverages Virtual Reality (VR) technology to provide an integrative learning experience in the Industrial Engineering (IE) curriculum. To achieve this integration, the approach aims to leverage VR learning modules to simulate a variety of systems. The VR learning modules offer an immersive experience and provide the context for real-life applications. The virtual simulated system represents a theme to transfer the system concepts and knowledge across multiple IE courses as well as connect the experience with real-world applications. The CLICK approach has the combined effect of immersion and learning-by-doing benefits. In this work, VR learning modules are developed for a simulated manufacturing system. The modules teach the concepts of measures of location and dispersion, which are used in an introductory probability course within the IE curriculum. This work presents the initial results of comparing the motivation, engineering identity, and knowledge gain between a control and an intervention group (i.e., traditional vs. CLICK teaching groups). The CLICK approach group showed greater motivation compared to a traditional teaching group. However, there were no effects on engineering identity and knowledge gain. Nevertheless, it is hypothesized that the VR learning modules will have a positive impact on the students’ motivation, engineering identity, and knowledge gain over the long run and when used across the curriculum. Moreover, IE instructors interested in providing an immersive and integrative learning experience to their students could leverage the VR learning modules developed for this project.

Lopez, C. E., & Ashour, O., & Cunningham, J. D., & Tucker, C., & Lynch, P. C. (2020, June), The CLICK Approach and Its Impact on Learning Introductory Probability Concepts in an Industrial Engineering Course Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--35297

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