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Autor/inn/enYoshioka, Sérgio R. I.; Ishitani, Lucila
TitelAn Adaptive Test Analysis Based on Students' Motivation
QuelleIn: Informatics in Education, 17 (2018) 2, S.381-404 (24 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1648-5831
SchlagwörterStudent Motivation; Adaptive Testing; Computer Assisted Testing; Item Response Theory; Anxiety; Computer Attitudes; Test Theory; Test Reliability; Test Validity; Comparative Analysis; Item Banks
AbstractComputerized Adaptive Testing (CAT) is now widely used. However, inserting new items into the question bank of a CAT requires a great effort that makes impractical the wide application of CAT in classroom teaching. One solution would be to use the tacit knowledge of the teachers or experts for a pre-classification and calibrate during the execution of tests with these items. Thus, this research consists of a comparative case study between a Stratified Adaptive Test (SAT), based on the tacit knowledge of a teacher, and a CAT based on Item Response Theory (IRT). The tests were applied in seven Computer Networks courses. The results indicate that levels of "anxiety" expressed in the use of the SAT were better than those using the CAT, in addition to being simpler to implement. In this way, it is recommended the implementation of a SAT, where the strata are initially based on the tacit knowledge of the teacher and later, as a result of an IRT calibration. (As Provided).
AnmerkungenVilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://www.mii.lt/informatics_in_education/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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