The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Learning effectiveness in a Web‐based virtual learning environment: a learner control perspective
Abstract
Web‐based technology has a dramatic impact on learning and teaching. A framework that delineates the relationships between learner control and learning effectiveness is absent. This study aims to fill this void. Our work focuses on the effectiveness of a technology‐mediated virtual learning environment (TVLE) in the context of basic information technology skills training. Grounded in the technology‐mediated learning literature, this study presents a framework that addresses the relationship between the learner control and learning effectiveness, which contains four categories: learning achievement, self‐efficacy, satisfaction, and learning climate. In order to compare the learning effectiveness under traditional classroom and TVLE, we conducted a field experiment. Data were collected from a junior high school of Taiwan. A total of 210 usable responses were analysed. We identified four results from this study. (1) Students in the TVLE environment achieve better learning performance than their counterparts in the traditional environment; (2) Students in the TVLE environment report higher levels of computer self‐efficacy than their counterparts in the traditional environment; (3) Students in the TVLE environment report higher levels of satisfaction than students in the traditional environment; and (4) Students in the TVLE environment report higher levels of learning climate than their counterparts in the traditional environment. The implications of this study are discussed, and further research directions are proposed.
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.
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
Instructional Design Theories and Models
(1983) · doi:10.4324/9780203824283 · Cited by 2,192 · cited 5×
“The result provides significant support for factorial/discriminant validity of the measurement scales.”
BackgroundResultInfluentialMedia will never influence learning
Clark, R. E. (1994) · Educational Technology Research and Development · doi:10.1007/bf02299088 · Cited by 1,893
Piccoli, G., Ahmad, R., & Ives, B. (2001) · MIS Quarterly · doi:10.2307/3250989 · Cited by 1,587
Cited by
How does desktop virtual reality enhance learning outcomes? A structural equation modeling approach
Ai-Lim Lee, E., Wong, K. W., & Fung, C. C. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.06.006 · Cited by 580
Place presence, social presence, co-presence, and satisfaction in virtual worlds
Bulu, S. T. (2012) · Computers & Education · doi:10.1016/j.compedu.2011.08.024 · Cited by 454
Metacognitive regulation of text learning: On screen versus on paper.
Ackerman, R., & Goldsmith, M. (2011) · Journal of Experimental Psychology: Applied · doi:10.1037/a0022086 · Cited by 406
Kim, H. J., Hong, A. J., & Song, H.-D. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0152-3 · Cited by 312
Determining factors of the use of e-learning environments by university teachers
Mahdizadeh, H., Biemans, H., & Mulder, M. (2008) · Computers & Education · doi:10.1016/j.compedu.2007.04.004 · Cited by 273
Metadata
- Authors
- Chou, S., & Liu, C.
- Venue
- Journal of Computer Assisted Learning
- Publisher
- Wiley
- Published
- 2005-02
- Volume
- 21
- Issue
- 1
- Pages
- 65-76
- ISSN
- 0266-4909 (ISSN-L)
- 1365-2729
- OpenAlex
- W2161872763
- Cited by
- 379
- References
- 3
- FWCI
- 52.47
- 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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Learning effectiveness in a Web‐based virtual learning environment: a learner control perspective. https://app.cochat.ai/papers/10.1111/j.1365-2729.2005.00114.x
- The paper
- Chou, S., & Liu, C. (2005). Learning effectiveness in a Web‐based virtual learning environment: a learner control perspective. Journal of Computer Assisted Learning. https://doi.org/10.1111/j.1365-2729.2005.00114.x
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.