Can Factors Related to Self-Regulated Learning and Epistemological Beliefs Predict Learning Achievement in Undergraduate Asynchronous Web-Based Courses?

dc.contributor.advisorPaul F. Bitting, Committee Co-Chairen_US
dc.contributor.advisorDuane Akroyd, Committee Co-Chairen_US
dc.contributor.authorBell, Paul Daviden_US
dc.date.accessioned2010-04-02T19:20:06Z
dc.date.available2010-04-02T19:20:06Z
dc.date.issued2006-10-04en_US
dc.degree.disciplineEducational Research and Policy Analysisen_US
dc.degree.leveldissertationen_US
dc.degree.namePhDen_US
dc.description.abstractThe purpose of this study was to examine the effects of subfactors of self-regulated learning (SRL) and epistemological beliefs (EB) on individual learner levels of academic achievement in an asynchronous Web-based learning environment while holding constant the effect of three covariate factors: (a) self-efficacy for using computer technology, (b) reason for taking an online course, and (c) prior college academic achievement. The study population was comprised of 201 undergraduate students enrolled in a variety of asynchronous Web-based courses during the spring 2005 semester at a university in the southeastern region of the United States. Data was collected via a Web-based self-report questionnaire and subjected to the following analyses: (a) separate exploratory factor analyses were performed in order to determine the factor structures for the self-regulated learning and for the epistemological beliefs question items, (b) Pearson correlation coefficients describing the associations among the independent variables and between the independent variables and the dependent variable were compared, and lastly, (c) course grades were regressed on the linear combination of all the variables in the model. Analysis of the data revealed that while 5 of 11 independent variables were associated with the dependent variable (GPA, Expectancy, Effort regulation, Quick learning and GPA_Exp); only three (GPA, Expectancy, and GPA_Exp) were significant predictors in the linear predictive model of learning achievement in asynchronous online courses. Study findings were analyzed and reasons offered for why the predictive model of learning achievement in asynchronous online courses included only one self-regulated learning subfactor, no epistemological belief subfactors, and only one of the three covariate factors. Future research that looks at other factors affecting learner achievement and that employs other research methodologies, such as qualitative analysis, are warranted and would greatly add to the literature related to learning achievement in undergraduate asynchronous online environments.en_US
dc.identifier.otheretd-09182006-112328en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/5792
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectlearning achievementen_US
dc.subjectregression analysisen_US
dc.subjectexpectancy for learningen_US
dc.subjecton-line learningen_US
dc.subjectasynchronous web based learningen_US
dc.subjectepistemological beliefsen_US
dc.subjectself regulated learningen_US
dc.titleCan Factors Related to Self-Regulated Learning and Epistemological Beliefs Predict Learning Achievement in Undergraduate Asynchronous Web-Based Courses?en_US

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