Detecting contract cheaters in online programming classes with keystroke dynamics

J Byun, J Park, A Oh - Proceedings of the Seventh ACM Conference on …, 2020 - dl.acm.org
Proceedings of the Seventh ACM Conference on Learning@ Scale, 2020dl.acm.org
In online programming classes, it is tricky to uphold academic honesty in the assessment
process. A common approach, plagiarism detection, is not accurate for novice programmers
and ineffective for detecting contract cheaters. We present a new approach, cheating
detection with keystroke dynamics in programming classes, and evaluated the approach.
In online programming classes, it is tricky to uphold academic honesty in the assessment process. A common approach, plagiarism detection, is not accurate for novice programmers and ineffective for detecting contract cheaters. We present a new approach, cheating detection with keystroke dynamics in programming classes, and evaluated the approach.
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