A research framework of smart education
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
When and where do we apply what we learn?: A taxonomy for far transfer
Barnett, S. M., & Ceci, S. J. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.4.612 · Cited by 2,076 · see citing works
A Generative Model of Mathematics Learning
Wittrock, M. C. (1974) · Journal for Research in Mathematics Education · doi:10.2307/748845 · Cited by 59 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
AI-enabled adaptive learning systems: A systematic mapping of the literature
Kabudi, T., Pappas, I., & Olsen, D. H. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100017 · Cited by 734 · see citing works
Learner Engagement Analytics in a Hybrid Learning Environment
Naeem, U., & Bosman, L. (2023) · 2023 IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon54358.2023.10125108 · Cited by 6 · see citing works
- Authors
- Zhu, Z.-T., Yu, M.-H., & Riezebos, P.
- Venue
- Smart Learning Environments
- Published
- 2016-03-31
- Volume
- 3
- Issue
- 1
- ISSN
- 2196-7091
- Cited by
- 469
- References
- 2
- Language
- en
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 ›
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