Using Assignment Incentives to Reduce Student Procrastination and Encourage Code Review Interactions (2311.15125v1)
Abstract: 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.
- L. Solomon and E. Rothblum, “Academic procrastination: Frequency and cognitive-behavioral correlates,” Journal of Counseling Psychology, vol. 31, pp. 503–509, Oct 1984.
- P. Steel, “The nature of procrastination: a meta-analytic and theoretical review of quintessential self-regulatory failure,” Psychological Bulletin, vol. 133, pp. 65–94, Feb 2007.
- P. Wang, “Effects of Deadline Conditions on Learners of Different Procrastination Tendencies in an Online Course,” Electronic Theses and Dissertations, vol. 6640, 2011.
- D. S. Ackerman and B. L. Gross, “My instructor made me do it: Task characteristics of procrastination,” Journal of Marketing Education, vol. 27, no. 1, pp. 5–13, 2005.
- W. Schilling, “Using performance bonuses to decrease procrastination,” in 2010 Annual Conference & Exposition, 2010, pp. 1–10.
- R. M. Bennett, W. Schleter, T. Olsen, and S. Guffey, “Effects of an early homework completion bonus,” in 2012 ASEE Annual Conference & Exposition, 2012, pp. 25.505.1 – 25.505.9.
- Z. Felker and Z. Chen, “The impact of extra credit incentives on students’ work habits when completing online homework assignments,” in 2020 Physics Education Research Conference Proceedings, 2020, pp. 143–148.
- J. Leinonen, F. E. V. Castro, and A. Hellas, “Does the Early Bird Catch the Worm? Earliness of Students’ Work and its Relationship with Course Outcomes,” in ITiCSE ’21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education. ACM, 2021, pp. 373–379. [Online]. Available: https://doi.org/10.1145/3430665.3456383
- A. Cook, V. Phan, and A. Windsor, “Improving TA Feedback on In-Class Coding Assignments for Introductory Computer Science,” in Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education. ACM, 2022, p. 421–427. [Online]. Available: https://doi.org/10.1145/3502718.3524746
- A. Jonsson, “Facilitating productive use of feedback in higher education,” Active Learning in Higher Education, vol. 14, no. 1, pp. 63–76, 2013.
- J. L. Olleras, M. Dagwayan, A. M. Dejacto, J. R. Mangay, M. Ebarsabal, D. J. Diaz, C. Puti-an, A. Lendio, J. Nadera, J. Taneo et al., “The Life of the Laters: Students Procrastination in Accomplishing Academic Deadlines in Online Learning,” Psychology and Education: A Multidisciplinary Journal, vol. 2, no. 5, pp. 444–454, 2022.
- M. M. Kachgal, L. S. Hansen, and K. J. Nutter, “Academic Procrastination Prevention/Intervention: Strategies and Recommendations,” Journal of Developmental Education, vol. 25, no. 1, pp. 14–24, 2001. [Online]. Available: http://www.jstor.org/stable/42775842
- F. E. V. Castro, J. Leinonen, and A. Hellas, “Experiences With and Lessons Learned on Deadlines and Submission Behavior,” in Koli Calling ’22: 22nd Koli Calling International Conference on Computing Education Research. ACM, 2022, pp. 25:1–25:13. [Online]. Available: https://doi.org/10.1145/3564721.3564728
- V. Ingalls, “Incentivizing with Bonus in a College Statistics Course,” Journal of Research in Mathematics Education, vol. 7, no. 1, pp. 93–103, 2018.
- M. S. Irwin and S. H. Edwards, “Can Mobile Gaming Psychology Be Used to Improve Time Management on Programming Assignments?” in Proceedings of the ACM Conference on Global Computing Education. ACM, 2019, p. 208–214. [Online]. Available: https://doi.org/10.1145/3300115.3309517
- L. Hakulinen, T. Auvinen, and A. Korhonen, “The Effect of Achievement Badges on Students’ Behavior: An Empirical Study in a University-Level Computer Science Course,” International Journal of Emerging Technologies in Learning, vol. 10, no. 1, pp. 18–29, 2015.
- M.-B. Ibanez, A. Di-Serio, and C. Delgado-Kloos, “Gamification for Engaging Computer Science Students in Learning Activities: A Case Study,” IEEE Transactions on Learning Technologies, vol. 7, no. 3, pp. 291–301, 2014.
- J. Winder, E. Falor, and J. Edwards, “Early Submission of Project Analysis Milestones Correlates Positively With Student Project Performance; Incentives for This Early Project Analysis Positively Changes Student Behaviors,” in 2023 Intermountain Engineering, Technology and Computing (IETC). IEEE, 2023, pp. 305–310.
- S. H. McIntyre and J. M. Munson, “Exploring Cramming: Student Behaviors, Beliefs, and Learning Retention in the Principles of Marketing Course,” Journal of Marketing Education, vol. 30, no. 3, pp. 226–243, 2008. [Online]. Available: https://doi.org/10.1177/0273475308321819
- Q. Hao, J. P. Wilson, C. Ottaway, N. Iriumi, K. Arakawa, and D. H. Smith, “Investigating the Essential of Meaningful Automated Formative Feedback for Programming Assignments,” in 2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2019, pp. 151–155.
- D. Song, W. Lee, and H. Oh, “Context-Aware and Data-Driven Feedback Generation for Programming Assignments,” in Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. ACM, 2021, p. 328–340. [Online]. Available: https://doi.org/10.1145/3468264.3468598
- R. Kasahara, K. Sakamoto, H. Washizaki, and Y. Fukazawa, “Applying Gamification to Motivate Students to Write High-Quality Code in Programming Assignments,” in Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education. ACM, 2019, p. 92–98. [Online]. Available: https://doi.org/10.1145/3304221.3319792
- P. Denny, J. Whalley, and J. Leinonen, “Promoting Early Engagement with Programming Assignments Using Scheduled Automated Feedback,” in Proceedings of the 23rd Australasian Computing Education Conference. ACM, 2021, p. 88–95. [Online]. Available: https://doi.org/10.1145/3441636.3442309
- M. Klinik, P. Koopman, and R. van der Wal, “Personal Prof: Automatic Code Review for Java Assignments,” in Proceedings of the 10th Computer Science Education Research Conference. ACM, 2022, p. 31–38. [Online]. Available: https://doi.org/10.1145/3507923.3507930
- K. Wang and R. Lawrence, “HelpMe: Student Help Seeking using Office Hours and Email,” in Proceedings of the 55th ACM Technical Symposium on Computer Science Education - Volume 1. ACM, 2024. [Online]. Available: https://doi.org/10.1145/3626252.3630867