A novel approach for composing test sheets from large item banks to meet multiple assessment criteria

To accurately analyze the problems of students in learning, the composed test sheets must meet multiple assessment criteria, such as the ratio of relevant concepts to be evaluated, the average discrimination degree, difficulty degree and estimated testing time. In this paper, a heuristic approach is proposed to improve the efficiency of composing near optimal test sheets from very large item banks to meet multiple assessment criteria. From the experimental results, we conclude that our novel approach is desirable in composing near optimal test sheets from large item bank and hence can support the need of diagnosing student learning problems.