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The Determinants of Students' Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation
ABSTRACT In this study, structural equation modeling is applied to examine the determinants of students' satisfaction and their perceived learning outcomes in the context of university online courses. Independent variables included in the study are course structure, instructor feedback, self‐mo...
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Published in: | Decision sciences journal of innovative education 2006-07, Vol.4 (2), p.215-235 |
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creator | Eom, Sean B. Wen, H. Joseph Ashill, Nicholas |
description | ABSTRACT
In this study, structural equation modeling is applied to examine the determinants of students' satisfaction and their perceived learning outcomes in the context of university online courses. Independent variables included in the study are course structure, instructor feedback, self‐motivation, learning style, interaction, and instructor facilitation as potential determinants of online learning. A total of 397 valid unduplicated responses from students who have completed at least one online course at a university in the Midwest were used to examine the structural model. The results indicated that all of the antecedent variables significantly affect students' satisfaction. Of the six antecedent variables hypothesized to affect the perceived learning outcomes, only instructor feedback and learning style are significant. The structural model results also reveal that user satisfaction is a significant predictor of learning outcomes. The findings suggest online education can be a superior mode of instruction if it is targeted to learners with specific learning styles (visual and read/write learning styles) and with timely, meaningful instructor feedback of various types. |
doi_str_mv | 10.1111/j.1540-4609.2006.00114.x |
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In this study, structural equation modeling is applied to examine the determinants of students' satisfaction and their perceived learning outcomes in the context of university online courses. Independent variables included in the study are course structure, instructor feedback, self‐motivation, learning style, interaction, and instructor facilitation as potential determinants of online learning. A total of 397 valid unduplicated responses from students who have completed at least one online course at a university in the Midwest were used to examine the structural model. The results indicated that all of the antecedent variables significantly affect students' satisfaction. Of the six antecedent variables hypothesized to affect the perceived learning outcomes, only instructor feedback and learning style are significant. The structural model results also reveal that user satisfaction is a significant predictor of learning outcomes. The findings suggest online education can be a superior mode of instruction if it is targeted to learners with specific learning styles (visual and read/write learning styles) and with timely, meaningful instructor feedback of various types.</description><identifier>ISSN: 1540-4595</identifier><identifier>EISSN: 1540-4609</identifier><identifier>DOI: 10.1111/j.1540-4609.2006.00114.x</identifier><language>eng</language><publisher>Malden, USA: Blackwell Publishing Inc</publisher><subject>Asynchronous Learning ; Cognitive Style ; College Faculty ; College Students ; Correlation Analysis ; Distance Education ; Distance Education/Distance Learning ; Distance learning ; Education ; Educational Technology ; Electronic Learning ; Feedback (Response) ; Hypotheses ; Hypothesis Testing ; Interaction ; Learning Effectiveness ; Online Courses ; Perceived Learning Outcomes ; Perceptions ; Performance evaluation ; Predictor Variables ; Satisfaction ; Structural Equation Modeling ; Structural Equation Models ; Student Attitudes ; Student Motivation ; Student Satisfaction ; Studies ; Teacher Role ; Teaching Methods ; United States (Midwest) ; User-Satisfaction</subject><ispartof>Decision sciences journal of innovative education, 2006-07, Vol.4 (2), p.215-235</ispartof><rights>2006 by the Decision Sciences Institute</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3304-f7de9fe66a74c3dbe60b235f3eddec2715009fa88d6dcce5f65e8d3140e5089b3</citedby><cites>FETCH-LOGICAL-c3304-f7de9fe66a74c3dbe60b235f3eddec2715009fa88d6dcce5f65e8d3140e5089b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1063425$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Eom, Sean B.</creatorcontrib><creatorcontrib>Wen, H. Joseph</creatorcontrib><creatorcontrib>Ashill, Nicholas</creatorcontrib><title>The Determinants of Students' Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation</title><title>Decision sciences journal of innovative education</title><description>ABSTRACT
In this study, structural equation modeling is applied to examine the determinants of students' satisfaction and their perceived learning outcomes in the context of university online courses. Independent variables included in the study are course structure, instructor feedback, self‐motivation, learning style, interaction, and instructor facilitation as potential determinants of online learning. A total of 397 valid unduplicated responses from students who have completed at least one online course at a university in the Midwest were used to examine the structural model. The results indicated that all of the antecedent variables significantly affect students' satisfaction. Of the six antecedent variables hypothesized to affect the perceived learning outcomes, only instructor feedback and learning style are significant. The structural model results also reveal that user satisfaction is a significant predictor of learning outcomes. 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In this study, structural equation modeling is applied to examine the determinants of students' satisfaction and their perceived learning outcomes in the context of university online courses. Independent variables included in the study are course structure, instructor feedback, self‐motivation, learning style, interaction, and instructor facilitation as potential determinants of online learning. A total of 397 valid unduplicated responses from students who have completed at least one online course at a university in the Midwest were used to examine the structural model. The results indicated that all of the antecedent variables significantly affect students' satisfaction. Of the six antecedent variables hypothesized to affect the perceived learning outcomes, only instructor feedback and learning style are significant. The structural model results also reveal that user satisfaction is a significant predictor of learning outcomes. The findings suggest online education can be a superior mode of instruction if it is targeted to learners with specific learning styles (visual and read/write learning styles) and with timely, meaningful instructor feedback of various types.</abstract><cop>Malden, USA</cop><pub>Blackwell Publishing Inc</pub><doi>10.1111/j.1540-4609.2006.00114.x</doi><tpages>21</tpages></addata></record> |
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subjects | Asynchronous Learning Cognitive Style College Faculty College Students Correlation Analysis Distance Education Distance Education/Distance Learning Distance learning Education Educational Technology Electronic Learning Feedback (Response) Hypotheses Hypothesis Testing Interaction Learning Effectiveness Online Courses Perceived Learning Outcomes Perceptions Performance evaluation Predictor Variables Satisfaction Structural Equation Modeling Structural Equation Models Student Attitudes Student Motivation Student Satisfaction Studies Teacher Role Teaching Methods United States (Midwest) User-Satisfaction |
title | The Determinants of Students' Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation |
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