Cited by 253Innovative Teaching MethodsOnline and Blended LearningOnline Learning and Analytics

An exploration of online behaviour engagement and achievement in flipped classroom supported by learning management system

Wang, Feng Hsu·2017·Computers & Education

Integrity signals

Registry

Crossref · 10.1016/j.compedu.2017.06.012

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

2 of the 50 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Wang, F. H.
Affiliations
Ming Chuan University (TW)
Corresponding author
Wang, Feng Hsu
Venue
Computers & Education
Publisher
Elsevier BV
Published
2017-11
Volume
114
Pages
79-91
ISSN
0360-1315 (ISSN-L)
OpenAlex
W2690430723
Cited by
252
References
50
Citations by year
2026: 9 · 2025: 22 · 2024: 27 · 2023: 39 · 2022: 33 · 2021: 37 · 2020: 24 · 2019: 42 · 2018: 17 · 2017: 2
FWCI
82.93
Type
journal article
Language
en
Open access
closed
Locations
Computers & Education (publishedVersion)
Topics
  • Social Sciences › Education › Innovative Teaching Methods
  • Social Sciences › Education › Online and Blended Learning
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Keywords
flipped classroom, academic performance, virtual learning environments, Moodle, problem-solving tasks, self-assessment, self-reflection, social interaction, problem-centered learning, course design, mediation model

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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