Equitable Autograding Policies for Programming Assignments: Late Work, Resubmission, and Feedback Timing
Sabbir Hosen Mamun, Helena R. Novak
Educational Data Mining Workshop on Computer Science Education, pp. 55-62, Durham, UK
Abstract
Autograders shape student work patterns through policy choices as much as through test results. This paper compares late-penalty, resubmission-limit, and feedback-delay policies across archival traces from four programming courses. Flexible resubmission policies improved eventual correctness without increasing final-hour submission spikes, while delayed feedback disproportionately affected students with less prior programming experience.
Cite this work
@inproceedings{Mamun2022Equitable,
title = {Equitable Autograding Policies for Programming Assignments: Late Work, Resubmission, and Feedback Timing},
author = {Sabbir Hosen Mamun and Helena R. Novak},
year = {2022},
booktitle = {Educational Data Mining Workshop on Computer Science Education},
pages = {55-62},
address = {Durham, UK},
abstract = {Autograders shape student work patterns through policy choices as much as through test results. This paper compares late-penalty, resubmission-limit, and feedback-delay policies across archival traces from four programming courses. Flexible resubmission policies improved eventual correctness without increasing final-hour submission spikes, while delayed feedback disproportionately affected students with less prior programming experience.},
}S. H. Mamun, H. R. Novak, "Equitable Autograding Policies for Programming Assignments: Late Work, Resubmission, and Feedback Timing," in Educational Data Mining Workshop on Computer Science Education, 2022, pp. 55-62.
Sabbir Hosen Mamun, and Helena R. Novak. 2022. Equitable Autograding Policies for Programming Assignments: Late Work, Resubmission, and Feedback Timing. In Educational Data Mining Workshop on Computer Science Education (Durham, UK), 55-62.
Mamun, S. H., & Novak, H. R. (2022). Equitable Autograding Policies for Programming Assignments: Late Work, Resubmission, and Feedback Timing. In Educational Data Mining Workshop on Computer Science Education (pp. 55-62).