The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Using YouTube in the EFL Classroom
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.
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?
In the citing paper
“In addition to the traditionally utilized video genres in L2 classes, such as television programs, news clips, movies, and the like, vlogs intended for an English-speaking audience may also be a potential source of L2 aural input (Watkins & Wilkins, 2011).”
From The effects of captions on L2 learners’ comprehension of vlogs (2021) · cites this paper as Watkins & Wilkins, 2011
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
World Englishes: approaches, issues and resources
Kachru, B. B. (1992) · Language Teaching · doi:10.1017/s0261444800006583 · Cited by 720
Research works printed but not linked: 1
- 10.1093/elt/cci064 · DOI
Cited by
Sorted by citations
The effects of captions on L2 learners’ comprehension of vlogs
Aldukhayel, D. (2021) · Language Learning & Technology · doi:10.64152/10125/73439 · Cited by 17
Metadata
- Authors
- Watkins, J., & Wilkins, M.
- Venue
- Language Education in Asia
- Publisher
- IDP Education Cambodia, Ltd.
- Published
- 2011-08-16
- Volume
- 2
- Issue
- 1
- Pages
- 113-119
- ISSN
- 1838-7365
- Cited by
- 76
- References
- 1
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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