Improving Student Learning Through Evidence-Based Pedagogy Research

(CSE Colloquium Lecture Series)

Paul Cao

Speaker: Paul Cao, Lecturer, Computer Science and Engineering, UC San Diego

Date: Thursday, February 23, 2017
Time: 11:00am
Location: Room 1202, CSE Building

Abstract:  Large enrollments in computer science courses have created unique challenges and opportunities in computer science education. Evidence-based pedagogy has the potential to improve student learning significantly and to offer valuable evidence for further studies. In this talk, I will focus on the education research project on making exams a learning experience for students. High-stake summative exams are popular in computer science courses, and the study found that collaborative exams can significantly improve knowledge retention in the short term in CS 1, especially for mid-level performers. I will also discuss ongoing and future research that builds upon the existing understanding of collaborative exams. In the end, I will share my experience and perspectives on strengthening undergraduate education in the CSE program.  

Bio:  Paul Cao received his Ph.D. from Duke University in 2006, and B.S. from Nanjing University of Science & Technology, China in 2001. He has taught different levels of courses in liberal arts colleges, historically black college, and large research-intensive institutions. He was an associate professor at Ashland University, a regional liberal arts college in Ohio, before teaching in the CSE Department at UCSD.  His research focuses on designing and validating pedagogy to promote student learning in Computer Science classes, and to improve diversity in Computing.