Supporting Learners in a Crisis Context with Smart Self-Assessment
Open accessIntegrity 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?
Students' motivation is extremely correlated with students' self-assessment.
“Reference [59] conducted research during COVID-19 lockdown and showed how students' motivation is extremely correlated with students' selfassessment.”
From Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education (2022) · cites this paper as [59]
The citation lists haven’t been fetched yet
References 40 · Cited by 9
- Authors
- Papamitsiou, Z., Lunde, M., Westermoen, J., & Giannakos, M. N.
- Affiliations
- Norwegian University of Science and Technology (NO)
- Corresponding author
- Papamitsiou, Zacharoula
- Venue
- Lecture Notes in Educational Technology
- Publisher
- Springer Singapore
- Published
- 2020-12-22
- Pages
- 207-224
- ISSN
- 2196-4963 (ISSN-L)
- 2196-4971
- OpenAlex
- W3115429372
- Cited by
- 9
- References
- 40
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 4 · 2021: 2
- FWCI
- 7.24
- Type
- book chapter
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Lecture notes in educational technology (publishedVersion)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Education › Education during COVID-19 pandemic
- Social Sciences › Education › Student Assessment and Feedback
- Keywords
- self-assessment, online self-assessment, student motivation, COVID-19 pandemic, crisis learning, self-directed learning, self-determination, learning analytics, student engagement, online learning
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
