Teaching composition quality at scale
John DeNero, Stephen Martinis · 2014
We describe an effort to improve the composition quality of student programs: the property that a program can be understood effectively by another person. As a semester-long component of UC Berkeley's first course for majors, CS 61A, we gave students composition guidelines, scores, and qualitative feedback-all generated manually by a course staff of 10 graders for over 700 students. To facilitate this effort, we created a new online tool that allows instructors to provide feedback efficiently at scale. Our system differs from recently developed alternatives in that it is a branch of an industrial tool originally developed for internal code reviews at Google and used extensively by the open-source community. We found that many of the features designed for industrial applications are well-suited for instructional use as well. We extended the system with permissions controls and comment memories tailored for giving educational feedback.