Adaptive Non-graded Assessment Based on Knowledge Space Theory

Abstract

Knowledge Space Theory has been applied in adaptive non-graded assessment. Space-based approaches need a large amount of computer memory. We introduced a procedure dynamically computing the fringes of a knowledge state according to prerequisite relations between knowledge nodes. And we proposed an effective approach of using fringes of a knowledge state to generate the adaptive assessment path.