The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Performance and perceptions of distance learners in cyberspace
Abstract
This study compared the performance and perception of cyber‐learners to that of traditional learners. A study of several hundred undergraduate students taking an introductory economics course at the University of California suggests that cyberlearners learn as well as, or better than, traditional learners regardless of characteristics such as gender, ethnicity, academic background, computer skills, and academic aptitude and that they do so with a high degree of satisfaction. CD‐ROM‐based lectures, electronic testing, threaded electronic bulletin boards, and online discussion rooms all appear to be effective instructional technologies. The CD‐ROM‐based lectures that simulated the traditional classroom experience were regarded as being both the most essential and most enjoyable instructional medium.
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Cites
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Cited by
Coman, C., Țîru, L. G., Meseșan-Schmitz, L., Stanciu, C., & Bularca, M. C. (2020) · Sustainability · doi:10.3390/su122410367 · Cited by 1,456
Students’ perception and preference for online education in India during COVID -19 pandemic
Muthuprasad, T., Aiswarya, S., Aditya, K. S., & Jha, G. K. (2021) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2020.100101 · Cited by 1,047
Choosing Between Online and Face-to-Face Courses: Community College Student Voices
Jaggars, S. S. (2014) · American Journal of Distance Education · doi:10.1080/08923647.2014.867697 · Cited by 382
Arbaugh, J. B., Godfrey, M. R., Johnson, M., Pollack, B. L., Niendorf, B., & Wresch, W. (2009) · The Internet and Higher Education · doi:10.1016/j.iheduc.2009.06.006 · Cited by 334
Soffer, T., & Nachmias, R. (2018) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12258 · Cited by 174
Metadata
- Authors
- Navarro, P., & Shoemaker, J.
- Venue
- American Journal of Distance Education
- Publisher
- Informa UK Limited
- Published
- 2000-01
- Volume
- 14
- Issue
- 2
- Pages
- 15-35
- ISSN
- 0892-3647 (ISSN-L)
- 1538-9286
- OpenAlex
- W2038014880
- Cited by
- 254
- References
- 44
- FWCI
- 52.75
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
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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.
