Title :
Pareto-optimal solutions for question paper template generation
Author :
Paul, Dimple V. ; Pawar, Jyoti D.
Author_Institution :
Dept. of Comput. Sci., D.M´s Coll. of Arts, Sci. & Commerce, Mapusa, India
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.
Keywords :
Pareto optimisation; computer aided instruction; Pareto-optimal solutions; e-assessment systems; educational taxonomy cognitive levels; electronic assessment systems; evolutionary approach; proportionate topic coverage; question paper template generation; subject examination; Algorithm design and analysis; Evolutionary computation; Optimization; Programming; Sociology; Statistics; Taxonomy; Pareto-optimal evolutionary algorithm; cognitive levels; question paper generation; question paper template;
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on
Conference_Location :
Mysore
Print_ISBN :
978-1-4799-2432-5
DOI :
10.1109/ICACCI.2013.6637267
