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A Self-Assessment Based Homework Model

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Conference

2019 Pacific Southwest Section Meeting

Location

California State University, Los Angeles , California

Publication Date

April 4, 2019

Start Date

April 4, 2019

End Date

April 6, 2019

Conference Session

PSW Section Meeting Papers - Disregard start and end time - for online paper access only

Tagged Topic

Pacific Southwest Section Meeting Paper Submissions

Page Count

9

DOI

10.18260/1-2--31812

Permanent URL

https://peer.asee.org/31812

Download Count

729

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Paper Authors

biography

Ni Li California State University, Los Angeles

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Ni Li, Ph.D., is an Assistant Professor of the Department of Mechanical Engineering at California State University, Los Angeles. She earned her BS in Electrical Engineering from Northwestern Polytechnical University, Xi’an, China, and her MS in Electrical Engineering, MS in Aerospace Engineering, and PhD in Mechanical Engineering from University of Central Florida. She previously served as a lecturer at University of Central Florida.

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biography

Nancy Warter-Perez California State University, Los Angeles

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Nancy Warter-Perez is the chair of the Mechanical Engineering Department and professor of Electrical and Computer Engineering at California State University, Los Angeles.

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biography

He Shen California State University, Los Angeles

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He Shen is currently with Department of Mechanical Engineering at California State University, Los Angeles. His research interests include robotics and control, as well as engineering education.

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Abstract

Homework is considered as a substantial process of learning especially for engineering education. However, due to the fast development of network technology, students now can easily find solution manuals on the internet. While some students use solution manuals to study, there are quite a few students who just copy homework solutions and lose opportunities to learn. This paper proposes a self-assessment based homework model. In addition to finishing homework students need to correct their homework by using solutions and assess their performance using autopsies designed by the instructor. To test the efficiency of this model, an experimental study was carried out in “Control of Mechanical System” class with an enrollment of 39 students at California State University, Los Angeles. The results suggest that the proposed homework assignment model is effective.

Li, N., & Warter-Perez, N., & Shen, H. (2019, April), A Self-Assessment Based Homework Model Paper presented at 2019 Pacific Southwest Section Meeting, California State University, Los Angeles , California. 10.18260/1-2--31812

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