Literaturnachweis - Detailanzeige
| Autor/in | Barrett, Beverly Pyle |
|---|---|
| Titel | Computer Anxiety, Computer Self-Efficacy, and Computer Experience: Prediction of Performance and Engagement in Online College Students |
| Quelle | (2018), (97 Seiten)
PDF als Volltext Psy.D. Dissertation, Capella University |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| ISBN | 978-0-4385-0942-9 |
| Schlagwörter | Hochschulschrift; Dissertation; Experience; Anxiety; Computer Attitudes; Self Efficacy; Prediction; Performance; Learner Engagement; Online Courses; Predictor Variables; College Students; Electronic Learning |
| Abstract | The study was designed to examine the relationship among computer anxiety, computer self-efficacy, computer experience, performance, and engagement. Previous research has demonstrated that these topics are related; however, few studies have included all of these variables. Specifically, this study was designed to answer the following research questions: Do scores on measures of computer anxiety, computer self-efficacy, and computer experience predict successful course completion of a general education course in online community college students?; and Do scores on measures of computer anxiety, computer self-efficacy, and computer experience predict course engagement in a general education course in online community college students? The impact of gender and academic major upon these predictions was also evaluated. A quantitative, non-random, non-experimental research design and a non-probability, convenience sample were utilized to address the research questions. The sample included 108 participants with the majority being female and pursuing a career in the health care field. Binary logistical regression and multiple linear regression were performed to analyze the data. Results indicated that no significant relationship existed between the predictor variables and performance and the null hypothesis was retained. The multiple linear regression revealed that computer anxiety, computer self-efficacy, and computer experience did predict engagement, F(5, 34) = 2.79, p =0.03. The regression model further revealed that when the other variables were controlled, computer anxiety was a significant predictor of engagement. Limitations of the current research design are discussed along with recommendations for future research. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] (As Provided). |
| Anmerkungen | ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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