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Description
Title: | Some practical item selection algorithms in cognitive diagnostic computerized adaptive testing -- smart diagnosis for smart learning |
Author(s): | Zheng, Chanjin |
Director of Research: | Chang, Hua-Hua |
Doctoral Committee Chair(s): | Chang, Hua-Hua |
Doctoral Committee Member(s): | Anderson, Carolyn J.; Zhang, Jinming; Douglas, Jeffrey A.; Culpepper, Steven A. |
Department / Program: | Educational Psychology |
Discipline: | Educational Psychology |
Degree Granting Institution: | University of Illinois at Urbana-Champaign |
Degree: | Ph.D. |
Genre: | Dissertation |
Subject(s): | cognitive diagnostic computerized adaptive testing (CD-CAT)
item selection algorithms |
Abstract: | The current studies represent an effort to advance the feasibility of cognitive diagnostic computerized adaptive testing (CD-CAT), an intelligent educational measurement tool that was envisioned as enhancing individualized learning over twenty years ago. Several new selection algorithms are proposed for addressing two important issues in CD-CAT: measurement efficiency and item exposure control. The posterior-weighted CDM discrimination index (PWCDI) and posterior-weighted attribute-level CDM discrimination index (PWACDI) are computationally affordable and highly efficient alternatives to other information index-based algorithms. The binary stratification algorithm offers an elegant solution to item exposure control in both fixed-length and variable-length CD-CAT, compared with the restrictive stochastic methods for fixed-length CD-CAT and SHTVOR for variable-length CD-CAT. |
Issue Date: | 2015-04-21 |
Type: | Text |
URI: | http://hdl.handle.net/2142/78750 |
Rights Information: | Copyright 2015 Chanjin Zheng |
Date Available in IDEALS: | 2015-07-22 2017-07-23 |
Date Deposited: | May 2015 |
This item appears in the following Collection(s)
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Dissertations and Theses - Education
Dissertations and Theses from the College of Education -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois