{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/78750"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/78750","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Some practical item selection algorithms in cognitive diagnostic computerized adaptive testing -- smart diagnosis for smart learning","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Zheng, Chanjin"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Educational Psychology","degree_department":null,"school":null,"contributors":["Douglas, Jeffrey A.","Culpepper, Steven A.","Chang, Hua-Hua","Anderson, Carolyn J.","Zhang, Jinming"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-07-22T22:45:32Z","date_published":"2015-07-22T22:45:32Z","updated_at":"2026-07-22T22:26:12Z","subjects":["cognitive diagnostic computerized adaptive testing (CD-CAT)","item selection algorithms"],"languages":["en"],"rights":["Copyright 2015 Chanjin Zheng"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/78750","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Douglas, Jeffrey A.","Culpepper, Steven A.","Chang, Hua-Hua","Anderson, Carolyn J.","Zhang, Jinming"]},{"key":"dc:creator","label":"Author","values":["Zheng, Chanjin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-07-22T22:45:32Z","2017-07-23T09:15:37Z","2015-05","2015-04-21","2015-5"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Educational Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["cognitive diagnostic computerized adaptive testing (CD-CAT)","item selection algorithms"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2015 Chanjin Zheng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/78750"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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. 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