The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges
Overview
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
Verification
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.
Citations
Cites
Connectivism: Learning theory of the future or vestige of the past?
Kop, R., & Hill, A. (2008) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v9i3.523 · Cited by 620
Will massive open online courses change how we teach?
Martin, F. G. (2012) · Communications of the ACM · doi:10.1145/2240236.2240246 · Cited by 324
Cited by
Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017) · Computers & Education · doi:10.1016/j.compedu.2016.10.001 · Cited by 1,003
Understanding the MOOCs continuance: The role of openness and reputation
Alraimi, K. M., Zo, H., & Ciganek, A. P. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.08.006 · Cited by 657
Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review
Wong, J., Baars, M., Davis, D., Van Der Zee, T., Houben, G.-J., & Paas, F. (2019) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2018.1543084 · Cited by 631
Joo, Y. J., So, H.-J., & Kim, N. H. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.01.003 · Cited by 420
Hennessy, S., D'Angelo, S., McIntyre, N., Koomar, S., Kreimeia, A., Cao, L., Brugha, M., & Zubairi, A. (2022) · Computers and Education Open · doi:10.1016/j.caeo.2022.100080 · Cited by 327
Metadata
- Authors
- Hew, K. F., & Cheung, W. S.
- Venue
- Educational Research Review
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 12
- Pages
- 45-58
- ISSN
- 1747-938X (ISSN-L)
- OpenAlex
- W2028402089
- Cited by
- 1,031
- References
- 2
- FWCI
- 93.23
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges. https://app.cochat.ai/papers/10.1016/j.edurev.2014.05.001
- The paper
- Hew, K. F., & Cheung, W. S. (2014). Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges. Educational Research Review. https://doi.org/10.1016/j.edurev.2014.05.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
