Abstract
Pandemic COVID19 has brought changes to the education sector, explicitly teaching and assessment. Online proctoring during the examination has been applied for distance learners. However, the malpractice during the online examination is one of the most challenging aspects of academic integrity due to various cheating behaviors. To curb these cheating behaviors, different online proctoring integration services have been developed and used in various academic institutions to maintain the sanctity of the examination. However, most of the proctoring integration services are paid basis. This review discusses online proctoring integration services and highlights different proctor attributes provided by each proctoring integration service. Next, this paper reviews recent work implementing machine learning in online proctoring. In addition, a generalized framework using ML is developed to highlight the potential and promise of using ML in assisting educators and learners with online distance learning.
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