The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
How should the higher education workforce adapt to advancements in technology for teaching and learning?
Overview
The claims and statistics of this paper haven’t been checked yet.
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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
The design of personal mobile technologies for lifelong learning.
Sharples, M. (2000) · Computers & Education · doi:10.1016/s0360-1315(99)00044-5 · Cited by 1,092
AMEE Guide No 20: The good teacher is more than a lecturer - the twelve roles of the teacher
Crosby, R. M. H. (2000) · Medical Teacher · doi:10.1080/014215900409429 · Cited by 885 · cited 2×
“Faculty members ought to be able to commit to lifelong learning, remembering that “professional role model” to students is one of the main roles of the teacher, besides other roles such as planning, facilitation and assessment (Harden & Crosby, 2000). A role model should know how to make best use of the powerful tools…”
Background
Cited by
Profiling teachers' readiness for online teaching and learning in higher education: Who's ready?
Scherer, R., Howard, S. K., Tondeur, J., & Siddiq, F. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106675 · Cited by 543
(2012) · Journal of the Association for Information Systems · Cited by 127
Metadata
- Authors
- Kukulska-Hulme, A.
- Venue
- The Internet and Higher Education
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 15
- Issue
- 4
- Pages
- 247-254
- ISSN
- 1096-7516 (ISSN-L)
- OpenAlex
- W2166136406
- Cited by
- 297
- References
- 2
- FWCI
- 64.00
- 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 ›
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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.