Method and system for predicting abnormal behaviors in online invigilation and storage medium

• Main Authors: RAWAT MANISH, VAISHNAV, NAVIN, SHAH VIRAL PRAKASH, KHAN FADDIN, SETHIA, RISHI
• Format: Patent
• Language: Chinese; English
• Published: 13.08.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a method and system for predicting abnormal behaviors in online invigilation and a storage medium. Examination for determining the ability of candidates, such as students or future practitioners, as it relates to the proficiency of a particular subject or skill set. At present, many standardized tests are carried out on line, and on-line examinations are difficult to invigilate. One solution to overcome the above challenges is to use machine learning (ML) to predict the behavior of candidates. However, conventional machine learning-based methods cannot evaluate the behavior of candidates in consideration of event sequences related to the candidates during online invigilation. To overcome the above challenges, embodiments herein provide methods and systems for regression-based prediction of anomalous behavior in online invigilation. The present disclosure generally relates to examination invigilation and more particularly concerns analyzing multiple events related to candidates by using