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Conference Paper: Recent advances in cognitive diagnosis computerized adaptive testing
Title | Recent advances in cognitive diagnosis computerized adaptive testing |
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Authors | |
Issue Date | 2019 |
Citation | The Seventh Conference of the International Association of Computerized Adaptive Testing (IACAT 2019), Minneapolis, MN. USA, 10-13 June 2019 How to Cite? |
Abstract | In recent years, cognitive diagnosis models (CDMs) have gained increasing popularity because of their potential to provide finer-grained inferences that can inform learning and teaching. To further capitalize on the advantages of CDMs and make diagnostic testing more efficient, cognitive diagnosis computerized adaptive testing (CD-CAT) has been proposed. This presentation will compare various item selection indices that have been used in CD-CAT with respect to attribute classification accuracy, item usage, and implementation time. To examine the benefits of CD-CAT with real data, its attribute classification accuracy vis-à-vis a proportional reasoning test will be compared with those of the original
and optimally designed paper-and-pencil versions of the test. The presentation will also discuss other recent advances in the area, which include item selection indices for different item responses and test formats, nonparametric CD-CAT, and CD-CAT implementation when the number of attributes is large. |
Description | Keynote Presentation - Symposia: |
Persistent Identifier | http://hdl.handle.net/10722/298653 |
DC Field | Value | Language |
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dc.contributor.author | de la Torre, J | - |
dc.date.accessioned | 2021-04-09T09:25:59Z | - |
dc.date.available | 2021-04-09T09:25:59Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | The Seventh Conference of the International Association of Computerized Adaptive Testing (IACAT 2019), Minneapolis, MN. USA, 10-13 June 2019 | - |
dc.identifier.uri | http://hdl.handle.net/10722/298653 | - |
dc.description | Keynote Presentation - Symposia: | - |
dc.description.abstract | In recent years, cognitive diagnosis models (CDMs) have gained increasing popularity because of their potential to provide finer-grained inferences that can inform learning and teaching. To further capitalize on the advantages of CDMs and make diagnostic testing more efficient, cognitive diagnosis computerized adaptive testing (CD-CAT) has been proposed. This presentation will compare various item selection indices that have been used in CD-CAT with respect to attribute classification accuracy, item usage, and implementation time. To examine the benefits of CD-CAT with real data, its attribute classification accuracy vis-à-vis a proportional reasoning test will be compared with those of the original and optimally designed paper-and-pencil versions of the test. The presentation will also discuss other recent advances in the area, which include item selection indices for different item responses and test formats, nonparametric CD-CAT, and CD-CAT implementation when the number of attributes is large. | - |
dc.language | eng | - |
dc.relation.ispartof | The Seventh Conference of the International Association of Computerized Adaptive Testing (IACAT 2019) | - |
dc.title | Recent advances in cognitive diagnosis computerized adaptive testing | - |
dc.type | Conference_Paper | - |
dc.identifier.email | de la Torre, J: jdltorre@hku.hk | - |
dc.identifier.authority | de la Torre, J=rp02159 | - |
dc.identifier.hkuros | 302310 | - |