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E-moderation of answer-scripts evaluation for controlling intra/inter examiner heterogeneity

Show simple item record Gauns-Dessai, K.G. Kamat, V.V. 2019-09-09T11:28:36Z 2019-09-09T11:28:36Z 2019
dc.identifier.citation 2018 IEEE Tenth International Conference on Technology for Education (T4E). 2019; 130-133. en_US
dc.description.abstract Public examinations are conducted worldwide for certification, placement, promotion, etc. As these examinations are high stake examinations, evaluation of the answer-scripts needs to be carried out in a uniform, error-free and unbiased manner. However, the large quantum of answer-scripts pertaining to each subject/course paper invariably introduces evaluation anomalies. Coupled with this, evaluation also suffers from intra/inter examiner heterogeneity and subjectivity. Some of the currently used approaches such as moderation of answer-scripts, in-house verification, personal verification, re-evaluation of answer-scripts and scaling of marks, only provide cursory relief from anomalous and heterogeneous evaluation. This is apparent from alarmingly increasing cases of verification/re-evaluation converging into significant changes in the original marks. In this paper, we propose an E-moderation scheme using machine learning techniques to classify each answer evaluation as negligent or normal and further predict scale. en_US
dc.publisher IEEE en_US
dc.subject Computer Science and Technology en_US
dc.title E-moderation of answer-scripts evaluation for controlling intra/inter examiner heterogeneity en_US
dc.type Conference article en_US

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