Procrastination causes student stress, reduced learning and performance, and results in very busy help sessions immediately before deadlines. A key challenge is encouraging students to complete assignments earlier rather than waiting until right before the deadline, so the focus becomes on the learning objectives rather than just meeting deadlines. This work presents an incentive system encouraging students to complete assignments many days before deadlines. Completed assignments are code reviewed by staff for correctness and providing feedback, which results in more student-instructor interactions and may help reduce student use of generative AI. The incentives result in a change in student behavior with 45% of assignments completed early and 30% up to 4 days before the deadline. Students receive real-time feedback with no increase in marking time.
@article{arxiv.2311.15125,
title = {Using Assignment Incentives to Reduce Student Procrastination and Encourage Code Review Interactions},
author = {Kevin Wang and Ramon Lawrence},
journal= {arXiv preprint arXiv:2311.15125},
year = {2023}
}
Comments
6 pages, To be published in 2023 International Conference on Computational Science and Computational Intelligence Research Track on Education (CSCI-RTED) IEEE CPS