Evaluating the Effectiveness of Peer-Led Learning for a Hardware Course
- Conference
- Location
-
Portland, Oregon
- Publication Date
-
June 23, 2024
- Start Date
-
June 23, 2024
- End Date
-
June 26, 2024
- Conference Session
- Tagged Division
-
Electrical and Computer Engineering Division (ECE)
- Page Count
-
11
- DOI
-
10.18260/1-2--47349
- Permanent URL
-
https://peer.asee.org/47349
- Download Count
-
44
Paper Authors
Yan Zhang University of South Florida
Yan Zhang is an assistant professor of instruction in the Department of Computer Science and Engineering, University of South Florida. Dr. Zhang completed her Ph.D. in Computer Engineering at New Jersey Institute of Technology. Dr. Zhang’s research interests are Congestion control and energy optimization in data center networks, content delivery acceleration over wide area networks and energy efficient networking.
Jing Wang University of South Florida
Dr. Jing Wang is a Professor of Instruction in the Department of Computer Science and Engineering. She received her PhD in 2005 in Electrical Engineering and Computer Science from Vanderbilt University. Her research interests are computer animation, undergraduate computer science and engineering education, and broadening participation in computing. Throughout her career, Dr. Wang has been actively involved in the important mission of recruiting and mentoring women in computer science and engineering. She serves as the faculty advisor of Women in Computer Science and Engineering student organization since 2013.
Abstract
In this paper, we describe the effectiveness of peer-led learning for a hardware course (computer organization) in the Computer Science and Engineering department at a large public university. The proposed peer-led learning in the format of online recitations extends in-class activities to after-lecture recitation hours, encourages students’ deep learning and understanding with extra challenging questions and peer-guided group discussions. In this paper we will describe the format, design, and improvement of the peer-led recitation sessions and how we choose peer leaders. The implementation of the peer-led online recitation sessions began in Fall 2021. Since then, students’ feedback has been monitored continuously to adjust recitations’ formats, frequency, discussion topics, etc. Surveys have been conducted and analyzed to evaluate the effectiveness of peer-led recitations and identify areas of improvement. Most students (more than 90%) expressed positive feedback in the end of semester survey. Based on the survey results conducted in the past several semesters, we conclude that peer-led online recitations help students’ study in concepts understanding, problem solving techniques, and assembly language programming. Moreover, we observe that course pass rate improved for students attending peer-led recitations.
Zhang, Y., & Wang, J. (2024, June), Evaluating the Effectiveness of Peer-Led Learning for a Hardware Course Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--47349
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2024 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015