An Innovative Judge Monitoring Algorithm for the Online Defense

Since the outbreak of COVID-19, teaching and learning activities have gradually shifted online. In addition to traditional teaching, the student defense, thesis proposal, interim inspection, admission and other defense processes are also online. Online teaching and online assessment methods are facing challenges in student engagement. At the same time, for teaching executors (teachers), there are also participation and emotional initiative problems. Especially in the defense process, it is not easy to adequately monitor the teacher evaluation process because of the use of secret ballots. In this paper, we propose a defense monitoring algorithm that analyzes the working status of the judges from the defense score data given by the judges in order to identify judges who are not working seriously and remove their scores. A large amount of measured and simulated data is available to justify the algorithm.