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Computer self-efficacy, academic self-concept and other factors as predictors of satisfaction and future participation of adult learners in Web-based distance education

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Date Issued:
2000
Summary:
The purpose of this study was to develop a predictive model for satisfaction of adult learners enrolled in a Web-based distance education course and intent to participate in other Web-based distance education courses. Implicit in this purpose was an examination of the relationships between and among the personal and experiential variables which are potential predictors. Personal variables examined include: age, gender, computer self-efficacy, academic self-concept, and academic status (e.g., undergraduate, graduate, and continuing education student). Experiential variables examined include: years of computer use, frequency of computer use per week, computer training, Internet experience in a class, and participation in a workshop for a Web-based distance education course. The subjects (n = 235) of this study were adult learners who were currently taking a Web-based distance education course from five universities. The instrument used in this study consisted of four sections: Background Information, Attitude Toward Computers (Computer Self-Efficacy Scale), Reaction to Web-based Distance Education Courses, and Academic Self-Concept Scale. Predictive models for satisfaction (p < .001) and future participation (p = .003) of adult learners in Web-based distance education were developed based on the results of multiple regression analyses. Further analyses were performed to investigate relationships between and among predictor variables and criterion variables. Computer self-efficacy was the only predictor variable which was statistically significant in both predictive models. This study also demonstrated a positive relationship between adult learners' satisfaction with their Web-based distance education courses and their intent to participate in additional Web-based distance education courses.
Title: Computer self-efficacy, academic self-concept and other factors as predictors of satisfaction and future participation of adult learners in Web-based distance education.
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Name(s): Lim, Christina Kyounghee.
Florida Atlantic University, Degree grantor
Guglielmino, Lucy M., Thesis advisor
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 2000
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 156 p.
Language(s): English
Summary: The purpose of this study was to develop a predictive model for satisfaction of adult learners enrolled in a Web-based distance education course and intent to participate in other Web-based distance education courses. Implicit in this purpose was an examination of the relationships between and among the personal and experiential variables which are potential predictors. Personal variables examined include: age, gender, computer self-efficacy, academic self-concept, and academic status (e.g., undergraduate, graduate, and continuing education student). Experiential variables examined include: years of computer use, frequency of computer use per week, computer training, Internet experience in a class, and participation in a workshop for a Web-based distance education course. The subjects (n = 235) of this study were adult learners who were currently taking a Web-based distance education course from five universities. The instrument used in this study consisted of four sections: Background Information, Attitude Toward Computers (Computer Self-Efficacy Scale), Reaction to Web-based Distance Education Courses, and Academic Self-Concept Scale. Predictive models for satisfaction (p < .001) and future participation (p = .003) of adult learners in Web-based distance education were developed based on the results of multiple regression analyses. Further analyses were performed to investigate relationships between and among predictor variables and criterion variables. Computer self-efficacy was the only predictor variable which was statistically significant in both predictive models. This study also demonstrated a positive relationship between adult learners' satisfaction with their Web-based distance education courses and their intent to participate in additional Web-based distance education courses.
Identifier: 9780599666764 (isbn), 12635 (digitool), FADT12635 (IID), fau:9518 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): Thesis (Ed.D.)--Florida Atlantic University, 2000.
College of Education
Subject(s): Distance education
Internet in education
Adult education
Computer literacy
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/12635
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.