Cited by 486Online and Blended LearningOnline Learning and AnalyticsEvasion and Academic Success Factors

Retention in Online Courses: Exploring Issues and Solutions—A Literature Review

Open access
Bawa, Papia·2016·Sage Open

Abstract

Despite increasing enrollment percentages from earlier years, online courses continue to show receding student retention rates. To reduce attrition and ensure continual growth in online courses, it is important to continue to review current and updated literature to understand the changing behaviors of online learners and faculty in the 21st century and examine how they fit together as a cohesive educational unit. This article reviews literature to ascertain critical reasons for high attrition rates in online classes, as well as explore solutions to boost retention rates. This will help create a starting point and foundation for a more, in-depth research and analysis of retention issues in online courses. Examining these issues is critical to contemporary learning environments.

Integrity signals

Registry

Crossref · 10.1177/2158244015621777

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Bawa, P.
Affiliations
Purdue University West Lafayette (US)
Corresponding author
Bawa, Papia
Venue
Sage Open
Published
2016-01-01
Volume
6
Issue
1
ISSN
2158-2440 (ISSN-L)
OpenAlex
W2269829170
Cited by
486
References
2
Citations by year
2026: 25 · 2025: 39 · 2024: 57 · 2023: 67 · 2022: 73 · 2021: 89 · 2020: 61 · 2019: 50 · 2018: 16 · 2017: 9
FWCI
110.98
Type
journal article
Language
en
Open access
Locations
  • SAGE Open (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Education › Online and Blended Learning
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Social Sciences › Demography › Evasion and Academic Success Factors
Keywords
student retention, online courses, student attrition, online learning, online students, faculty, retention strategies

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