Cited by 60English Language Learning and TeachingTechnology-Enhanced Education StudiesOnline and Blended Learning

Applying the technology acceptance model (tam) to explore the effects of a course management system (cms)-assisted efl writing instruction

Tsai, Yea-Ru·2015·CALICO Journal

Abstract

This study illustrates a teaching model that utilizes a Blackboard (Bb) course management system (CMS) to support English writing instruction. It was implemented in a blended English research paper (RP) writing course, with specific learning resources and activities offered inside and outside the Bb CMS. A quasi-experimental study in which the results of two academic years were analyzed is presented. The results showed that the experimental group significantly outperformed the control group in their final drafts. The research methodology includes the technology acceptance model (TAM) to evaluate the course. The results of the survey showed that most students displayed positive learning outcomes, indicating that the instruction model could contribute to the effectiveness of learning English writing. Major factors influencing the improvement of writing performance included technical support, perceived usefulness, perceived ease of use, and attitude; however, the influence of writing activities on the Bb was limited in comparison to the other variables.

Integrity signals

Registry

Crossref · 10.1558/calico.v32i1.25961

Cites

Statistics

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

Claims the paper makes

This paper’s full text isn’t openly available, 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?

  • The rate of flagged reviews serves as a valuable indicator of student agency in peer review, reflecting their active engagement in refining feedback and independent commitment to improving its quality.

    “The rate of flagged reviews serves as a valuable indicator of student agency in peer review, reflecting their active engagement in refining feedback and independent commitment to improving its quality.”

    From Impact of AI assistance on student agency (2024) · cites this paper as Tsai (2015)

Cited by

Sorted by citations

Authors
Tsai, Y.-R.
Affiliations
I-Shou University (TW)
Corresponding author
Tsai, Yea-Ru
Venue
CALICO Journal
Published
2015-01-01
Volume
32
Issue
1
Pages
153-171
ISSN
  • 0742-7778 (ISSN-L)
  • 2056-9017
OpenAlex
W2175862521
Cited by
60
References
0
Citations by year
2026: 4 · 2025: 8 · 2024: 6 · 2023: 5 · 2022: 9 · 2021: 11 · 2020: 4 · 2019: 6 · 2018: 1 · 2017: 3 · 2016: 2 · 2015: 1
FWCI
6.29
Type
journal article
Language
en
Open access
closed
Locations
CALICO Journal (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › English Language Learning and Teaching
  • Social Sciences › Education › Technology-Enhanced Education Studies
  • Social Sciences › Education › Online and Blended Learning
Keywords
technology acceptance model, virtual learning environments, Blackboard, EFL writing instruction, blended learning, research paper writing, perceived usefulness, perceived ease of use, technical support, student attitudes, writing performance

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