Online Exam Cheating Detection Method for Programming Courses

Author:

Zhou Faguo

Abstract

Online exam cheating has always been a problem that the field of education and teaching and the teaching department focus on and research. In order to effectively detect cheating or calculate the probability of cheating, this paper proposes an algorithm for calculating the probability of cheating in the exam based on the rules and codes similarity. According to the current situation of programming courses and the actual situation of the exam, it can be judged whether there is cheating. The implementation of the cheating detection algorithm can curb the plagiarism phenomenon of online exams and purify the discipline of the test style.

Publisher

Darcy & Roy Press Co. Ltd.

Reference7 articles.

1. Zhou Faguo, Yang Bingru. A New Method for Sentence Similarity Calculation and Its Application in Question-Answering Systems[J]. Computer Engineering and Applications, 2008, 44(1): 165-167.

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3. Li Dongyan, Fang Ruochen, Xu Kai et al. Research on Anti-Plagiarism Algorithm Based on Similarity Matching[J]. Journal of North China Institute of Science and Technology, 2016, 13(5): 60-64.

4. Firuz K, Hana S, David C S. Machine learning based approach to exam cheating detection[J]. PloS one,2021,16(8).

5. Sanaa K, Abdu G. Towards effective and efficient online exam systems using deep learning-based cheating detection approach[J]. Intelligent Systems with Applications, 2022,16.

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