Comparing apples and oranges: Computational methods for evaluating student and group learning histories in intelligent tutoring systems
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چکیده
Intelligent tutoring systems customize the learning experiences of students. Be cause no two students have precisely the same learning history, traditional analytic techniques are not appropriate. This paper shows how to compare the learning his tories of students and how to compare groups of students in different experimental conditions. A class of randomization tests is introduced and illustrated with data from the AnimalWatch ITS project for elementary school arithmetic.
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تاریخ انتشار 2005