Automated assessment has been shown to greatly simplify the process of assessing students' programs. However, manual assessment still offers benefits to both students and tutors. We introduce Gradeer, a hybrid assessment tool, which allows tutors to leverage the advantages of both automated and manual assessment. The tool features a modular design, allowing new grading functionality to be added. Gradeer directly assists manual grading, by automatically loading code inspectors, running students' programs, and allowing grading to be stopped and resumed in place at a later time. We used Gradeer to assess an end of year assignment for an introductory Java programming course, and found that its hybrid approach offers several benefits.
@article{arxiv.2102.09400,
title = {Gradeer: An Open-Source Modular Hybrid Grader},
author = {Benjamin Clegg and Maria-Cruz Villa-Uriol and Phil McMinn and Gordon Fraser},
journal= {arXiv preprint arXiv:2102.09400},
year = {2021}
}