Toward an integrated model for designing assessment systems: An analysis of the current status of computer-based assessments in science
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The advantages of the shift to computer-based assessments include automated scoring and feedback, optimized costs of test administration, and presentation of items via multimedia features.
“The advantages of this shift include automated scoring and feedback, optimized costs of test administration, and presentation of items via multimedia features”
From Taking a future perspective by learning from the past – A systematic review of assessment instruments that aim to measure primary and secondary school students' ICT literacy (2016) · cites this paper as Kuo & Wu, 2013
Cites
The interplay of evidence and consequences in the validation of performance assessments
Messick, S. (1994) · Educational Researcher · doi:10.3102/0013189x023002013 · Cited by 1,315 · see citing works
Research in clinical reasoning: past history and current trends
Norman, G. (2005) · Medical Education · doi:10.1111/j.1365-2929.2005.02127.x · Cited by 1,018 · see citing works
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Siddiq, F., Hatlevik, O. E., Olsen, R. V., Throndsen, I., & Scherer, R. (2016) · Educational Research Review · doi:10.1016/j.edurev.2016.05.002 · Cited by 269 · see citing works
- Authors
- Kuo, C.-Y., & Wu, H.-K.
- Affiliations
- National Taiwan Normal University (TW)
- Corresponding author
- Wu, Hsin-Kai
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 68
- Pages
- 388-403
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W1964234352
- Cited by
- 66
- References
- 2
- Citations by year
- 2025: 6 · 2024: 4 · 2023: 2 · 2022: 4 · 2021: 4 · 2020: 7 · 2019: 1 · 2018: 8 · 2017: 5 · 2016: 7 · 2015: 9 · 2014: 7 · 2013: 2
- FWCI
- 24.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Education (publishedVersion)
- Funders
- National Science Council of Taiwan (NSC 100-2511-S-003-041-MY3 and NSC 101-2811-S-003-005)
- Topics
- Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- computer-based testing, science assessment, assessment design, adaptive testing, item response theory, automated grading, automated feedback, formative and summative assessment, open-ended responses, problem-solving skills, assessment validity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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