CSC/ECE 517 Fall 2019 - E1990. Integrate suggestion detection algorithm
Introduction
- On Expertiza, students receive review comments for their work from their peers. This review mechanism provides the students a chance to correct/modify their work, based on the reviews they receive. It is expected that the reviewers identify problems and suggest solutions, so that the students can improve their projects.
- The instructor can view metrics such as average volume and total volume of the content of the reviews provided by a student.
Current Implementation
Problem Statement
- The reviewers can fill in the review comments on others' work, however they do not receive feedback on how effective their reviews are. It would thus make sense to have a feedback mechanism in place, which can identify whether a reviewer has identified problems and provided suggestions for a student or team's project. We need to identify the suggestions in the review comments to determine how useful a review would be. This would motivate the reviewers to give better constructive reviews .
- We would also want the instructor of the course to be able to view how many constructive reviews a reviewer has provided in comparison to the average number of constructive reviews provided by the other reviewers of the course.