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Adaptive Non-graded Assessment Based on Knowledge Space Theory
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.
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