Computerized adaptive testing in instructional settings |
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Authors: | R Edwin Welch Theodore W Frick |
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Institution: | (1) the Learning Support Center, Taylor University, Upland, Indiana;(2) the Department of Instructional Systems Technology of the School of Education at Indiana University, Bloomington |
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Abstract: | Item response theory (IRT) has most often been used in research on computerized adaptive testing (CAT). Depending on the model
used, IRT requires between 200 and 1,000 examinees for estimating item parameters. Thus, it is not practical for instructional
designers to develop their own CAT based on the IRT model. Frick improved Wald's sequential probability ratio test (SPRT)
by combining it with normative expert systems reasoning, referred to as an EXSPRT-based CAT. While previous studies were based
on re-enactments from historical test data, the present study is the first to examine how well these adaptive methods function
in a real-time testing situation. Results indicate that the EXSPRT-I significantly reduced test lengths and was highly accurate
in predicting mastery. EXSPRT is apparently a viable and practical alternative to IRT for assessing mastery of instructional
objectives. |
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Keywords: | |
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