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Cross-sectional study of engineering student performance across different types of first-year digital logic design laboratories

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Conference

2017 FYEE Conference

Location

Daytona Beach, Florida

Publication Date

August 6, 2017

Start Date

August 6, 2017

End Date

August 8, 2017

Conference Session

Engineering Education Research - Focus on Engineering Design

Tagged Topic

FYEE Division - Paper Submission

Page Count

7

Permanent URL

https://peer.asee.org/29404

Download Count

28

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Paper Authors

biography

Akhan Almagambetov Embry-Riddle Aeronautical University, Prescott

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Akhan Almagambetov received the B.S. degree in computer engineering from Norwich University, Northfield, VT, in 2008 and the M.S. and Ph.D. degrees in electrical engineering from Syracuse University, Syracuse, NY, in 2011 and 2013, respectively.

Currently, he is an assistant professor with the Department of Computer, Electrical, and Software Engineering at Embry-Riddle Aeronautical University, Prescott, AZ. He is also the co-founder of Codevolve, a company specializing in ed. tech.

Prior to joining Embry-Riddle in 2015, he was an assistant professor with the Department of Computer Science, Norwich University. Between 2011 and 2013, he was a researcher with the Smart Vision Systems Laboratory (SVSL) at Syracuse University.

His research interests include low-level hardware optimization, computer/machine vision, image processing, lightweight and parallel algorithms, embedded devices, and intelligent transportation systems (ITS).

Dr. Almagambetov received the Applicability of Research to Business and Industry award in April 2013 for his work in ITS image processing algorithms and the All-University Doctoral Prize for best dissertation from Syracuse University for his work on assistive technology in ITS in 2014.

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John M. Pavlina Embry-Riddle Aeronautical University, Prescott

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Abstract

As a follow-on to our previous effort of designing the lecture and lab courses that would be relevant to a predominantly Aerospace and Mechanical Engineering (AE/ME) undergraduate cohort, this cross-sectional study aims to examine the effect of different types of laboratories on material retention and success in upper level courses. The performance of each of the 159 students who participated in this study is tracked throughout the semester, culminating in a laboratory final that involves applying concepts learned in a practical setting under strict timing constraints.

Data show that students attained a more even level of understanding across multiple topics, could readily apply digital logic design concepts, and were more comfortable with using industry standard equipment and tools when the laboratories were blended between "manual wiring" / "cookbook" and "virtual wiring" / "system design" types of experiments.

This study provides results that may help other first year engineering departments in designing new courses or laboratory curricula.

Almagambetov, A., & Pavlina, J. M. (2017, August), Cross-sectional study of engineering student performance across different types of first-year digital logic design laboratories Paper presented at 2017 FYEE Conference, Daytona Beach, Florida. https://peer.asee.org/29404

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