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A Game Theory-Based Approach To Reduce Cheating By Students In Online Exams

What this was:

  • The goal of this study was to develop game theory models using a mechanism design approach and statistical analysis in order to assist professors in choosing the teaching techniques and difficulty of exams which will thus maximize the benefit for students when studying for the online exam instead of cheating on it.
  • We proposed two models to solve this problem, the first one was a sequential game with perfect information model. The second one which uses statistical analysis was based on the analytic hierarchy process (AHP) technique.
  • Professors are categorized into two groups: those who want to put maximum effort into their jobs and others. Students are also divided into two groups: those who want to learn and those who only want high grades.

  • We concluded that a professor who wants to put high effort into her job could ensure that students who only care about grades will study hard by either ensuring the student that their dedicated work will pay off or making the material more interesting such that there is more benefit to learning rather than only high grades. In all other cases, the choice is inevitable.
  • The most appropriate decision for each case is summarized in the table below.

What this achieved:

  • Praised as the best research project among nearly 30 other groups and was showcased on the department's channel for addressing a real-world problem using mathematical approaches

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