You are here:

Considering Students' Perceptions: The Distance Education Student Satisfaction Model
ARTICLE

,

Journal of Educational Technology & Society Volume 11, Number 3, ISSN 1176-3647 e-ISSN 1176-3647

Abstract

In the current study, the Distance Education Student Satisfaction Model, estimated as a structural equation model, is proposed to understand better what predicts student satisfaction from online learning environments. In the present study, the following variables are employed based on the Technology Acceptance Model (TAM) (Davis, Bagozzi, & Warshaw, 1989) and literature: computer knowledge, flexibility of distance education, usefulness of distance education, and distance education satisfaction. Results suggest that as long as students have the skills to use online tools and perceive that distance education is a useful and flexible way of learning, communicating, and sharing, their enjoyment from online instruction will be promoted. Ultimately, this satisfaction may lead to higher levels of engagement, learning, and success in the distance education setting. Data collected from 195 undergraduate students are analyzed using Statistical Package for the Social Sciences and Analysis of Moment Structures statistical software. Implications of the findings of the present study are crucial for instructors, practitioners, and institutions planning to offer or currently engaged in offering distance education courses. (Contains 1 figure and 1 table.)

Citation

Sahin, I. & Shelley, M. (2008). Considering Students' Perceptions: The Distance Education Student Satisfaction Model. Journal of Educational Technology & Society, 11(3), 216-223. Retrieved May 22, 2019 from .

This record was imported from ERIC on April 18, 2013. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

Keywords

Cited By

View References & Citations Map

These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact info@learntechlib.org.