Automated Test Assembly for Multistage Testing With Cognitive Diagnosis Article Swipe
Guiyu Li
,
Yan Cai
,
Xuliang Gao
,
Daxun Wang
,
Dongbo Tu
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/fpsyg.2021.509844
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/fpsyg.2021.509844
Computer multistage adaptive test (MST) combines the advantages of paper and pencil-based test (P&P) and computer-adaptive test (CAT). As CAT, MST is adaptive based on modules; as P&P, MST can meet the need of test developers to manage test forms and keep test forms parallel. Cognitive diagnosis (CD) can accurately measure students’ knowledge states (KSs) and provide diagnostic information, which is conducive to student’s self-learning and teacher’s targeted teaching. Although MST and CD have a lot of advantages, many factors prevent MST from applying to CD. In this study, we first attempt to employ automated test assembly (ATA) to achieve the objectives of MST in the application of CD (called CD-MST) via heuristic algorithms. The mean correct response probability of all KSs for each item is used to describe the item difficulty of CD. The attribute reliability in CD is defined as the test quantitative target. A simulation study with the G-DINA model (generalized deterministic input noisy “and” gate model) was carried out to investigate the proposed CD-MST, and the results showed that the assembled panels of CD-MST satisfied the statistical and the non-statistical constraints.
Related Topics
Concepts
Computerized adaptive testing
Test (biology)
Heuristic
Computer science
Reliability (semiconductor)
Pencil (optics)
Cognition
Machine learning
Artificial intelligence
Algorithm
Reliability engineering
Statistics
Mathematics
Psychology
Psychometrics
Engineering
Paleontology
Mechanical engineering
Biology
Neuroscience
Physics
Power (physics)
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpsyg.2021.509844
- https://www.frontiersin.org/articles/10.3389/fpsyg.2021.509844/pdf
- OA Status
- gold
- Cited By
- 4
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3158425444
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3158425444Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fpsyg.2021.509844Digital Object Identifier
- Title
-
Automated Test Assembly for Multistage Testing With Cognitive DiagnosisWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-05-06Full publication date if available
- Authors
-
Guiyu Li, Yan Cai, Xuliang Gao, Daxun Wang, Dongbo TuList of authors in order
- Landing page
-
https://doi.org/10.3389/fpsyg.2021.509844Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/fpsyg.2021.509844/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.frontiersin.org/articles/10.3389/fpsyg.2021.509844/pdfDirect OA link when available
- Concepts
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Computerized adaptive testing, Test (biology), Heuristic, Computer science, Reliability (semiconductor), Pencil (optics), Cognition, Machine learning, Artificial intelligence, Algorithm, Reliability engineering, Statistics, Mathematics, Psychology, Psychometrics, Engineering, Paleontology, Mechanical engineering, Biology, Neuroscience, Physics, Power (physics), Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2023: 1, 2022: 1, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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