1 citations · 2 across the 3 of their papers we have counts for
3 papers
A Data Mining Approach for Detecting Collusion in Unproctored Online Exams
Janine Langerbein, Till Massing, Jens Klenke +4
Due to the precautionary measures during the COVID-19 pandemic many universities offered unproctored take-home exams. We propose methods to detect potential collusion between stude…
Effects of Early Warning Emails on Student Performance
Jens Klenke, Till Massing, Natalie Reckmann +4
We use learning data of an e-assessment platform for an introductory mathematical statistics course to predict the probability of passing the final exam for each student. Subsequen…
When is the best time to learn? -- Evidence from an introductory statistics course
Till Massing, Natalie Reckmann, Alexander Blasberg +3
We analyze learning data of an e-assessment platform for an introductory mathematical statistics course, more specifically the time of the day when students learn. We propose stati…