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Pareto-optimal solutions for question paper template generation

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dc.contributor.author Paul, D.V.
dc.contributor.author Pawar, J.D.
dc.date.accessioned 2015-06-04T03:55:35Z
dc.date.available 2015-06-04T03:55:35Z
dc.date.issued 2013
dc.identifier.citation IEEE Int. Conf. on Advances in Computing, Communication and Informatics. ICACCI 2013. 22-25 Aug 2013. SJCE, Mysore, India. 2013; 747-751. en_US
dc.identifier.uri http://dx.doi.org/10.1109/ICACCI.2013.6637267
dc.identifier.uri http://irgu.unigoa.ac.in/drs/handle/unigoa/2910
dc.description.abstract Generating multiple sets of question paper for a subject examination is laborious and time consuming by manual approaches. To cope up with this problem, an enhanced approach using Pareto-optimal solution is proposed. This approach designs multiple Question Paper Templates which can be used as standards in generating multiple sets of question papers. Experimental result shows that the proposed algorithm performs better than the existing evolutionary approach for generating multiple question papers with proportionate topic coverage as well as proportionate coverage of cognitive levels of educational taxonomy. en_US
dc.subject Computer Science and Technology en_US
dc.title Pareto-optimal solutions for question paper template generation en_US
dc.type Conference article en_US


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