A quantitative analysis of when students choose to grade questions on computerized exams with multiple attempts
A. Verma, T. Bretl, M. West, and C. Zilles
in Proceedings of the Seventh ACM Conference on Learning at Scale (L@S 2020), 2020.
In this paper, we study a computerized exam system that allows students to attempt the same question multiple times. This system permits students either to receive feedback on their submitted answer immediately or to defer the feedback and grade questions in bulk. An analysis of student behavior in three courses across two semesters found similar student behaviors across courses and student groups. We found that only a small minority of students used the deferred feedback option. A clustering analysis that considered both when students chose to receive feedback and either to immediately retry incorrect problems or to attempt other unfinished problems identified four main student strategies. These strategies were correlated to statistically significant differences in exam scores, but it was not clear if some strategies improved outcomes or if stronger students tended to prefer certain strategies.
Full text: VeBrWeZi2020.pdf