The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Online learning in higher education: exploring advantages and disadvantages for engagement
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Citations
Cites
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,866
Discovering Statistics Using SPSS
Field, A. P., & Miles, J. N. V. (2000) · Medical Entomology and Zoology · Cited by 28,265
What Matters in College? Four Critical Years Revisited.
Feldman, K. A., & Astin, A. W. (1994) · The Journal of Higher Education · doi:10.2307/2943781 · Cited by 5,745
(2005) · Cited by 3,554
Research in Education: A Conceptual Introduction
McMillan, J. H., & Schumacher, S. (1984) · Medical Entomology and Zoology · Cited by 3,283
A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students
Pintrich, P. R. (2004) · Educational Psychology Review · doi:10.1007/s10648-004-0006-x · Cited by 3,269
How College Affects Students: A Third Decade of Research
Bray, N. J. (2006) · The Journal of General Education · doi:10.2307/27798045 · Cited by 2,569
Changing Course: Ten Years of Tracking Online Education in the United States.
Allen, I. E., & Seaman, J. (2013) · Cited by 1,584
The effect of Twitter on college student engagement and grades: Twitter and student engagement
Junco, R., Heiberger, G., & Loken, E. (2011) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2010.00387.x · Cited by 1,535
(2005) · Jossey-Bass, An Imprint of Wiley · Cited by 1,462
Cited by
Szymkowiak, A., Melović, B., Dabić, M., Jeganathan, K., & Kundi, G. S. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101565 · Cited by 893
Al Rawashdeh, A. Z., Mohammed, E. Y., Al Arab, A. R., Alara, M., Al-Rawashdeh, B., & Al-Rawashdeh, B. (2021) · Electronic Journal of e-Learning · doi:10.34190/ejel.19.3.2168 · Cited by 437
Salas‐Pilco, S. Z., Yang, Y., & Zhang, Z. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13190 · Cited by 411
“Regarding online courses, Dumford and Miller (2018) also mentioned that students reported less exposure to effective teaching, which suggests that online learning might somewhat benefit or be deterrent for engagement.”
Background(2023) · doi:10.3102/00346543221105550 · Cited by 159
Examining faculty and student perceptions of generative AI in university courses
Kim, J., Klopfer, M., Grohs, J. R., Eldardiry, H., Weichert, J., Cox, L. A., & Pike, D. (2025) · Innovative Higher Education · doi:10.1007/s10755-024-09774-w · Cited by 109
“Now, web-based course-management software and online courses (Dumford & Miller, 2018) are ubiquitous in higher education.”
Metadata
- Authors
- Dumford, A. D., & Miller, A. L.
- Venue
- Journal of Computing in Higher Education
- Published
- 2018-04-03
- Volume
- 30
- Issue
- 3
- Pages
- 452-465
- ISSN
- 1042-1726 (ISSN-L)
- 1867-1233
- OpenAlex
- W2795669339
- Cited by
- 962
- References
- 49
- FWCI
- 177.68
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Online learning in higher education: exploring advantages and disadvantages for engagement. https://app.cochat.ai/papers/10.1007/s12528-018-9179-z
- The paper
- Dumford, A. D., & Miller, A. L. (2018). Online learning in higher education: exploring advantages and disadvantages for engagement. Journal of Computing in Higher Education. https://doi.org/10.1007/s12528-018-9179-z
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.
