Pareto-optimal solutions for question paper template generation

摘要

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.