The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Computer self‐efficacy, academic self‐concept, and other predictors of satisfaction and future participation of adult distance learners
Abstract
The purpose of this study was to develop a predictive model of satisfaction of adult learners in a Web‐based distance education course and their intent to participate in future Web‐based distance education courses. The factors examined were computer self‐efficacy, academic self‐concept, age, gender, academic status, years of computer use, frequency of computer use, computer training, Internet experience in a class, and participation in a workshop for a Web‐based course. Computer self‐efficacy was the only predictor variable that was statistically significant. There was a positive relationship between learners' satisfaction with their Web‐based distance education courses and their intent to participate in future Web‐based courses.
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
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925
Self-concept: validation of construct interpretations.
Shavelson, R. J., Hubner, J. J., & Stanton, G. C. (1976) · Review of Educational Research · doi:10.3102/00346543046003407 · Cited by 4,164
Gist, M. E., Schwoerer, C. E., & Rosen, B. (1989) · Journal of Applied Psychology · doi:10.1037//0021-9010.74.6.884 · Cited by 910
Development and Validation of the Computer Self-Efficacy Scale
Murphy, C. A., Coover, D., & Owen, S. V. (1989) · Educational and Psychological Measurement · doi:10.1177/001316448904900412 · Cited by 475
The effects of age, gender and computer experience upon computer attitudes
Comber, C., Colley, A., Hargreaves, D. J., & Dorn, L. (1997) · Educational Research · doi:10.1080/0013188970390201 · Cited by 263
Gender and Computers: The Beneficial Effects of Experience on Attitudes
Chen, M. (1986) · Journal of Educational Computing Research · doi:10.2190/wdry-9k0f-vcp6-jccd · Cited by 251
Miura, I. T. (1987) · Sex Roles · doi:10.1007/bf00289956 · Cited by 240
Distance learners in higher education: institutional responses for quality outcomes
(1999) · Choice Reviews Online · doi:10.5860/choice.36-4610 · Cited by 239
Identifying predictors of high risk among community college telecourse students
Dille, B., & Mezack, M. (1991) · American Journal of Distance Education · doi:10.1080/08923649109526729 · Cited by 233
Factorial Validity of a Computer Self-Efficacy Scale and the Impact of Computer Training
Torkzadeh, G., & Koufteros, X. (1994) · Educational and Psychological Measurement · doi:10.1177/0013164494054003028 · Cited by 225
Cited by
Kuo, Y.-C., Walker, A. E., Schroder, K. E. E., & Belland, B. R. (2014) · The Internet and Higher Education · doi:10.1016/j.iheduc.2013.10.001 · Cited by 1,082
Predicting student satisfaction and perceived learning within online learning environments
Alqurashi, E. (2019) · Distance Education · doi:10.1080/01587919.2018.1553562 · Cited by 697
Usability, quality, value and e-learning continuance decisions
Chiu, C.-M., Hsu, M.-H., Sun, S.-Y., Lin, T.-C., & Sun, P.-C. (2005) · Computers & Education · doi:10.1016/j.compedu.2004.06.001 · Cited by 567
Yilmaz, R. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.12.085 · Cited by 514
“For instance, Lim (2001) found that students’ computer self-efficacy, which is one of the sub-factors of e-learning readiness, is a predictor of their satisfaction in web-based distant learning classes.”
BackgroundChanges in Student Motivation During Online Learning
Kim, K.-J., & Frick, T. W. (2011) · Journal of Educational Computing Research · doi:10.2190/ec.44.1.a · Cited by 358
Metadata
- Authors
- Lim, C. K.
- Venue
- American Journal of Distance Education
- Publisher
- Informa UK Limited
- Published
- 2001-01
- Volume
- 15
- Issue
- 2
- Pages
- 41-51
- ISSN
- 0892-3647 (ISSN-L)
- 1538-9286
- OpenAlex
- W2087274771
- Cited by
- 278
- References
- 21
- FWCI
- 31.14
- 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: Computer self‐efficacy, academic self‐concept, and other predictors of satisfaction and future participation of adult distance learners. https://app.cochat.ai/papers/10.1080/08923640109527083
- The paper
- Lim, C. K. (2001). Computer self‐efficacy, academic self‐concept, and other predictors of satisfaction and future participation of adult distance learners. American Journal of Distance Education. https://doi.org/10.1080/08923640109527083
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.