Definition, framework and research issues of smart learning environments - a context-aware ubiquitous learning perspective
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
Multiple View Geometry in Computer Vision
Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070 · see citing works
Situated Cognition and the Culture of Learning
Brown, J. S., Collins, A., & Duguid, P. (1989) · Educational Researcher · doi:10.3102/0013189x018001032 · Cited by 13,645 · cited 2× · see citing works
“learning is a brand new concept of learning; therefore, researchers or educators may propose new thoughts about its pedagogy based on those existing theories, such as constructivism, motivational theory, the technology acceptance model, cognitive load theory and multimedia design theory (Brown et al. 1989; Mayer 2001;…”
BackgroundMayer, R. (2020) · doi:10.1017/9781316941355 · Cited by 7,777 · see citing works
Brusilovsky, P. (2001) · User Modeling and User-Adapted Interaction · doi:10.1023/a:1011143116306 · Cited by 2,057 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Vision, challenges, roles and research issues of Artificial Intelligence in Education
Hwang, G.-J., Xie, H., Wah, B. W., & Gašević, D. (2020) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2020.100001 · Cited by 1,435 · see citing works
Self-citationAgbo, F. J., Oyelere, S. S., Suhonen, J., & Tukiainen, M. (2021) · Smart Learning Environments · doi:10.1186/s40561-020-00145-4 · Cited by 325 · see citing works
Competency Profile of the Digital and Online Teacher in Future Education
Ally, M. (2019) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v20i2.4206 · Cited by 261 · see citing works
Towards education 4.0: The role of large language models as virtual tutors in chemical engineering
Caccavale, F., Gargalo, C. L., Gernaey, K. V., & Krühne, U. (2024) · Education for Chemical Engineers · doi:10.1016/j.ece.2024.07.002 · Cited by 50 · see citing works
Huang, H., Hwang, G., & Chen, P. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13177 · Cited by 20 · see citing works
Self-citationKhalil, H., Al-Maawali, W., & El-Ghool, R. (2022) · Universal Journal of Educational Research · doi:10.13189/ujer.2022.100403 · Cited by 3 · see citing works
- Authors
- Hwang, G.-J.
- Venue
- Smart Learning Environments
- Published
- 2014-11-07
- Volume
- 1
- Issue
- 1
- ISSN
- 2196-7091
- Cited by
- 404
- References
- 4
- 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 ›
Are you an author, or do you see a problem with this page? Request a review
