Cited by 184Learning Styles and Cognitive DifferencesOnline and Blended LearningEvaluation of Teaching Practices

Learning styles and online education

Zapalska, Alina, Brozik, Dallas·2006·Campus-Wide Information Systems

Abstract

Purpose: The purpose of this paper is to recognize that individual learning styles must be taken into account in the instructional design template used in online education. The paper argues that when students' learning styles are identified, it is possible to define an appropriate context of learning. Design/methodology/approach: The paper identifies a set of instructional principles for online learning environments that are derived from multiple theories of learning with a consideration of different learning styles. The VARK questionnaire was used to determine learning styles of students who participated in two online courses. The VARK instrument identifies four distinct learning styles: visual (V); aural (A); reading/writing (R) and kinesthetic (K). These four dimensions are used to analyze the appropriateness of online learning structures. Findings: The paper identifies teaching strategies in online courses while recognizing the four learning styles. The paper concludes that the achievement of online learning can be improved by providing instruction in a manner consistent with each student's learning style. However, it is important to keep in mind that, even if a specific student learns best in a certain way, he or she should be exposed to a variety of learning experiences to become a more versatile online learner. Originality/value: The new result indicates that students with the auditory learning preference do not select online education as their first choice for learning. The combination of different techniques can make it possible for students with all types of learning styles to be successful in an online course.

Integrity signals

Registry

Crossref · 10.1108/10650740610714080

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

This paper’s full text isn’t openly available, 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?

  • Students' online learning improved when the instructions provided are suitable for their learning preferences (Jones & Blankenship 2017; Zapalska & Brozik 2006).

    “They concluded that students' online learning improved when the instructions provided are suitable for their learning preferences.”
  • Integrating students' preferred motivational learning method and strategy in the design of online learning environments is consistent with the previous results of Jones and Blankenship (2017) or Zapalska and Brozik (2006).

    “Integrating students' preferred motivational learning method and strategy in the design of online learning environments is consistent with the previous results of Jones and Blankenship (2017) or Zapalska and Brozik (2006).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Zapalska, A., & Brozik, D.
Affiliations
  • United States Coast Guard Academy (US)
  • Marshall University (US)
Venue
Campus-Wide Information Systems
Publisher
Emerald
Published
2006-10-01
Volume
23
Issue
5
Pages
325-335
ISSN
1065-0741 (ISSN-L)
OpenAlex
W1964638086
Cited by
184
References
7
Citations by year
2026: 2 · 2025: 4 · 2024: 3 · 2023: 13 · 2022: 21 · 2021: 32 · 2020: 22 · 2019: 7 · 2018: 6 · 2017: 10 · 2016: 11 · 2015: 8 · 2014: 10 · 2013: 9 · 2012: 8
FWCI
3.40
Type
journal article
Language
en
Open access
closed
Locations
Campus-Wide Information Systems (publishedVersion)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Learning Styles and Cognitive Differences
  • Social Sciences › Education › Online and Blended Learning
  • Social Sciences › Education › Evaluation of Teaching Practices
Keywords
learning styles, online learning, instructional design, VARK questionnaire, visual learning, auditory learning, reading/writing learning, kinesthetic learning, teaching methods, virtual learning environments, student preferences

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