The academic integrity violations detection system for data science course on the MOOC-platform

Academic integrity violations (as plagiarism, answers sharing, etc) are major challenges for many high education institutions around the world. These challenges had become more urgent after wide adoption of e-learning approach by education community in form of MOOCs or SPOCs. Therefore, the usage of automatic academic integrity violation detection systems is highly advisable in case of courses with large enrollment and large amounts of machine- and peer-graded assignments. In this work, we share our experience how to overcome these challenges in such course - Introduction to Data Science. The brief description of the course and assignments structure will be given, after that we will highlight some features of the assignments for Data Science course that requires a bit more complex approach to plagiarism detection and we will discuss architecture of proposed system for academic integrity violations detection.