A Comparison of Parametric and Nonparametric Item Selection methods in Classification Accuracy of Cognitive Diagnostic Computerized Adaptive Testing

Autor:	Junga Han, Guemin Lee
Rok vydání:	2020
Předmět:	business.industry Computer science Nonparametric statistics Item selection Cognition Computerized adaptive testing Artificial intelligence business Machine learning computer.software_genre computer Parametric statistics
Zdroj:	Korean Society for Educational Evaluation. 33:129-159
ISSN:	1226-3540
DOI:	10.31158/jeev.2020.33.1.129
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::48541b7375cc2227b5da5f79baca575c https://doi.org/10.31158/jeev.2020.33.1.129 Zobrazit plný text záznamu