Cited by 420Online Learning and AnalyticsTechnology Adoption and User BehaviourOnline and Blended Learning

Examination of relationships among students' self-determination, technology acceptance, satisfaction, and continuance intention to use K-MOOCs

Joo, Young Ju, So, Hyo-Jeong, Kim, Nam Hee·2018·Computers & Education

Integrity signals

Registry

Crossref · 10.1016/j.compedu.2018.01.003

Cites

8 of 8 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?

  • Academic environments with greater autonomy, competence, and connectivity are positively correlated with higher learning, higher retention and completion rates, and improved satisfaction of students' graduates.

    “Many empirical studies have shown that academic environments with greater autonomy, competence, and connectivity are positively correlated with higher learning, higher retention and completion rates, and improved satisfaction of students' graduates [5].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Joo, Y. J., So, H.-J., & Kim, N. H.
Affiliations
Ewha Womans University (KR)
Corresponding author
So, Hyo-Jeong
Venue
Computers & Education
Publisher
Elsevier BV
Published
2018-07
Volume
122
Pages
260-272
ISSN
0360-1315 (ISSN-L)
OpenAlex
W2783356839
Cited by
420
References
8
Citations by year
2026: 19 · 2025: 36 · 2024: 58 · 2023: 79 · 2022: 66 · 2021: 72 · 2020: 62 · 2019: 24 · 2018: 4
FWCI
51.13
Type
journal article
Language
en
Open access
closed
Locations
Computers & Education (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Education › Online and Blended Learning
Keywords
MOOCs, self-determination, technology acceptance, perceived usefulness, perceived ease of use, student satisfaction, continuance intention, university students, intrinsic motivation

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