The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
E‐learning: emerging uses, empirical results and future directions
Abstract
The use of network technology to deliver training is the latest trend in the training and development industry and has been heralded as the ‘e‐learning revolution.’ In an effort to separate hype from reality, this paper reviews practitioner and research literature on e‐learning, incorporating unpublished information from interviews with managers and consultants directly involved in e‐learning initiatives. Specific attention is given to why organizations use e‐learning, what the potential drawbacks to e‐learning are, what we know from research about e‐learning and what the future of e‐learning may hold.
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
Distance education : a systems view
Moore, M. G., & Kearsley, G. (1996) · Medical Entomology and Zoology · Cited by 2,665
E-learning: Strategies for delivering knowledge in the digital age
Rosenberg, M. J., & Foshay, R. (2002) · Performance Improvement · doi:10.1002/pfi.4140410512 · Cited by 2,070
Media will never influence learning
Clark, R. E. (1994) · Educational Technology Research and Development · doi:10.1007/bf02299088 · Cited by 1,893
Effectiveness of computer-based instruction: An updated analysis
Kulik, C.-L. C., & Kulik, J. A. (1991) · Computers in Human Behavior · doi:10.1016/0747-5632(91)90030-5 · Cited by 957
Gist, M. E., Schwoerer, C. E., & Rosen, B. (1989) · Journal of Applied Psychology · doi:10.1037//0021-9010.74.6.884 · Cited by 910
THE PRACTICE OF COMPETENCY MODELING
SHIPPMANN, J. S., ASH, R. A., BATJTSTA, M., CARR, L., EYDE, L. D., HESKETH, B., KEHOE, J., PEARLMAN, K., PRIEN, E. P., & SANCHEZ, J. I. (2000) · Personnel Psychology · doi:10.1111/j.1744-6570.2000.tb00220.x · Cited by 707
No Significant Difference Phenomenon.
Layton, J. (1999) · Educational Technology & Society · Cited by 697
Transfer of skill from a computer game trainer to flight
Gopher, D., Well, M., & Bareket, T. (1994) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872089403600301 · Cited by 421
Effects of conceptions of ability on anxiety, self-efficacy, and learning in training.
Martocchio, J. J. (1994) · Journal of Applied Psychology · doi:10.1037//0021-9010.79.6.819 · Cited by 344
Horton, W. T. (2000) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 344
Cited by
Benefits of Training and Development for Individuals and Teams, Organizations, and Society
Aguinis, H., & Kraiger, K. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.60.110707.163505 · Cited by 1,453
Abdullah, F., & Ward, R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.11.036 · Cited by 986
The influence of technology on the future of human resource management
Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. (2015) · Human Resource Management Review · doi:10.1016/j.hrmr.2015.01.002 · Cited by 618
Research in e-HRM: Review and implications
Strohmeier, S. (2007) · Human Resource Management Review · doi:10.1016/j.hrmr.2006.11.002 · Cited by 571
Understanding the effect of e-learning on individual performance: The role of digital literacy
Mohammadyari, S., & Singh, H. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.10.025 · Cited by 496
Metadata
- Authors
- Welsh, E. T., Wanberg, C. R., Brown, K. G., & Simmering, M. J.
- Venue
- International Journal of Training and Development
- Publisher
- Wiley
- Published
- 2003-11-14
- Volume
- 7
- Issue
- 4
- Pages
- 245-258
- ISSN
- 1360-3736 (ISSN-L)
- 1468-2419
- OpenAlex
- W2125468779
- Cited by
- 757
- References
- 29
- FWCI
- 11.75
- 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: E‐learning: emerging uses, empirical results and future directions. https://app.cochat.ai/papers/10.1046/j.1360-3736.2003.00184.x
- The paper
- Welsh, E. T., Wanberg, C. R., Brown, K. G., & Simmering, M. J. (2003). E‐learning: emerging uses, empirical results and future directions. International Journal of Training and Development. https://doi.org/10.1046/j.1360-3736.2003.00184.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.
