Computerized adaptive testing based on decision tree
M Ueno, P Songmuang - 2010 10th IEEE international …, 2010 - ieeexplore.ieee.org
2010 10th IEEE international conference on advanced learning …, 2010•ieeexplore.ieee.org
This paper proposes a new computerized adaptive testing employing a decision tree model,
instead of test theories. The attribute variable of the model is examinees' responses to each
item and the output variable is examinees' test total scores. Some simulation experiments
show better performances of the proposed method compared to the traditional methods and
solve the problems.
instead of test theories. The attribute variable of the model is examinees' responses to each
item and the output variable is examinees' test total scores. Some simulation experiments
show better performances of the proposed method compared to the traditional methods and
solve the problems.
This paper proposes a new computerized adaptive testing employing a decision tree model, instead of test theories. The attribute variable of the model is examinees' responses to each item and the output variable is examinees' test total scores. Some simulation experiments show better performances of the proposed method compared to the traditional methods and solve the problems.
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