The (in) comparability of ICT knowledge and skill self-assessments among upper secondary school students: The use of the anchoring vignette method
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Studies comparing students' self-reported competence with test scores have shown that self-reports do not portray students' true competence.
“Studies comparing students' self-reported competence with test scores have shown that self-reports do not portray students' true competence (Law et al., 2009;Vonkova & Hrabak, 2015).”
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 Vonkova & Hrabak, 2015
Cited by
Sorted by citations
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
- Vonkova, H., & Hrabak, J.
- Affiliations
- Charles University (CZ)
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 85
- Pages
- 191-202
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2466087489
- Cited by
- 33
- References
- 0
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 5 · 2020: 2 · 2019: 4 · 2018: 1 · 2016: 2 · 2015: 1
- FWCI
- 3.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Education (publishedVersion)
- Funders
- Czech Science Foundation (P402/12/G130)
- Topics
- Physical Sciences › Computer Science › Information Systems › Digital literacy in education
- Social Sciences › Gender Studies › Gender and Technology in Education
- Social Sciences › Education › Vocational Education and Training
- Keywords
- ICT knowledge, ICT skills, self-assessment, self-report validity, high school students, information technology students, self-assessment bias
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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