An allocation model for automatic assignment generation and marking

The increasing student-to-teacher ratio in university sector not only resulted in increased demand for automation of assignment marking and feedback but also raised concerns of increase in copying of assignments and cheating. This paper considers a solution to this problem and offers an assignment individualization model and an assignment allocation model taking into account the risks and the costs involved. The models open way for minimizing teacher workload required to achieve a given acceptable level of plagiarism risk.