Content area

Abstract

The purpose of this quasi-experimental nonequivalent group post-test only study was to compare the student learning styles of a distance learning nursing class (N=37) with an equivalent on-campus class (N=95). The Canfield Learning Style Inventory (CLSI) was administered to determine student-learning preferences in four major learning style categories. The data showed that students who enrolled in the distance learning nursing courses did not significantly demonstrate any learning style characteristics different from students in the equivalent on-campus nursing courses. Furthermore, the data showed that there were no differences in the National League of Nursing (NLN) exam scores between the two groups of students.

Because there were no differences in the NLN exam scores between the two groups, the distance learning nursing option was found to be as effective as the traditional nursing option. Faculty, who are considering developing a distance-learning course based on a traditional course, should consider administering a student learning style inventory to both their distance and traditional students. Knowledge of student learning preferences can aid faculty in class preparation, designing class delivery methods, choosing appropriate technologies, and developing sensitivity to differing student learning preferences within the most appropriate learning education environment.

Details

1010268
Title
Canfield Learning Style Inventory as a predictor of success in distance learning program versus traditional learning program in an associate degree nursing program
Number of pages
131
Degree date
2007
School code
1421
Source
DAI-A 81/1(E), Dissertation Abstracts International
ISBN
978-1-109-89150-8
Advisor
University/institution
Touro University International
University location
United States -- California
Degree
Ph.D.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3250958
ProQuest document ID
304702502
Document URL
https://www.proquest.com/dissertations-theses/canfield-learning-style-inventory-as-predictor/docview/304702502/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
ProQuest One Academic