The impacts of computer adaptive testing from a variety of perspectives.
Computer adaptive testing (CAT) is a kind of tailored testing, in that it is a form of computer-based testing that is adaptive to each test-taker’s ability level. In this review, the impacts of CAT are discussed from different perspectives in order to illustrate crucial points to keep in mind during...
| Publicado en: | Journal of Educational Evaluation for Health Professions Vol. 14; pp. 1 - 6 |
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| Autor principal: | |
| Formato: | review Journal Article |
| Publicado: |
National Health Personnel Licensing Examination Board
2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=125093960&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 125093960 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19755937 B0CC jtl: Journal of Educational Evaluation for Health Professions issn: 19755937 maglogo: N pubinfo: dt: 2017 vid: 14 pid: 58691 pub: National Health Personnel Licensing Examination Board artinfo: ui: 125093960 125093960 125093960 10.3352/jeehp.2017.14.12 125093960 ppf: 1 ppct: 5 formats: fmt: @attributes: type: P tig: atl: The impacts of computer adaptive testing from a variety of perspectives. aug: au: Tetsuo Kimura affil: Department of Clinical Psychology, Faculty of Social Welfare and Psychology, Niigata Seiryo University, Niigata, Japan sug: subj: Computerized Adaptive Testing Utilization Computerized Adaptive Testing Psychosocial Factors Learning Self-Efficacy Motivation Educational Measurement Standards Perception Algorithms Student Attitudes Faculty Attitudes Measurement Issues and Assessments Psychometrics ab: Computer adaptive testing (CAT) is a kind of tailored testing, in that it is a form of computer-based testing that is adaptive to each test-taker’s ability level. In this review, the impacts of CAT are discussed from different perspectives in order to illustrate crucial points to keep in mind during the development and implementation of CAT. Test developers and psychometricians often emphasize the efficiency and accuracy of CAT in comparison to traditional linear tests. However, many test-takers report feeling discouraged after taking CATs, and this feeling can reduce learning self-efficacy and motivation. A trade-off must be made between the psychological experiences of test-takers and measurement efficiency. From the perspective of educators and subject matter experts, nonstatistical specifications, such as content coverage, content balance, and form length are major concerns. Thus, accreditation bodies may be faced with a discrepancy between the perspectives of psychometricians and those of subject matter experts. In order to improve test-takers’ impressions of CAT, the author proposes increasing the target probability of answering correctly in the item selection algorithm even if doing so consequently decreases measurement efficiency. Two different methods, CAT with a shadow test approach and computerized multistage testing, have been developed in order to ensure the satisfaction of subject matter experts. In the shadow test approach, a full-length test is assembled that meets the constraints and provides maximum information at the current ability estimate, while computerized multistage testing gives subject matter experts an opportunity to review all test forms prior to administration. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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