California State University, Los Angeles , California
April 4, 2019
April 4, 2019
April 6, 2019
PSW Section Meeting Papers - Disregard start and end time - for online paper access only
Pacific Southwest Section Meeting Paper Submissions
9
10.18260/1-2--31812
https://peer.asee.org/31812
787
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.
Nancy Warter-Perez is the chair of the Mechanical Engineering Department and professor of Electrical and Computer Engineering at California State University, Los Angeles.
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.
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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