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The Impacts of System and Human Factors on Online Learning Systems Use and Learner Satisfaction
ABSTRACT Success in an online learning environment is tied to both human and system factors. This study illuminates the unique contributions of human factors (comfort with online learning, self‐management of learning, and perceived Web self‐efficacy) to online learning system success, which is measu...
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Published in: | Decision sciences journal of innovative education 2011-09, Vol.9 (3), p.437-461 |
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container_end_page | 461 |
container_issue | 3 |
container_start_page | 437 |
container_title | Decision sciences journal of innovative education |
container_volume | 9 |
creator | Alshare, Khaled A. Freeze, Ronald D. Lane, Peggy L. Wen, H. Joseph |
description | ABSTRACT
Success in an online learning environment is tied to both human and system factors. This study illuminates the unique contributions of human factors (comfort with online learning, self‐management of learning, and perceived Web self‐efficacy) to online learning system success, which is measured in terms of usage and satisfaction. The research model was tested employing SEM on a sample of 674 college students enrolled in at least one online course. The factors of comfort with online learning and perceived Web self‐efficacy were significant predictors of satisfaction. Comfort with online learning was significant in predicting usage. The impact of demographic variables was examined. |
doi_str_mv | 10.1111/j.1540-4609.2011.00321.x |
format | article |
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Success in an online learning environment is tied to both human and system factors. This study illuminates the unique contributions of human factors (comfort with online learning, self‐management of learning, and perceived Web self‐efficacy) to online learning system success, which is measured in terms of usage and satisfaction. The research model was tested employing SEM on a sample of 674 college students enrolled in at least one online course. The factors of comfort with online learning and perceived Web self‐efficacy were significant predictors of satisfaction. Comfort with online learning was significant in predicting usage. The impact of demographic variables was examined.</description><identifier>ISSN: 1540-4595</identifier><identifier>EISSN: 1540-4609</identifier><identifier>DOI: 10.1111/j.1540-4609.2011.00321.x</identifier><language>eng</language><publisher>Malden, USA: Blackwell Publishing Inc</publisher><subject>College Students ; Computer Literacy ; Computer System Design ; Computer Use ; Demography ; Electronic Learning ; Human Factors ; Impact analysis ; Information Quality ; Internet ; IS Success ; Online Courses ; Online instruction ; Online Learning ; Prediction ; Predictor Variables ; Satisfaction ; Self Efficacy ; Self Management ; Student Attitudes ; Studies ; Success factors ; System Quality ; System Use ; User Satisfaction</subject><ispartof>Decision sciences journal of innovative education, 2011-09, Vol.9 (3), p.437-461</ispartof><rights>2011, Decision Sciences Institute Journal compilation ©2011, Decision Sciences Institute</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4001-dcd8c5150c2b0cf0b85a3f48df5357386d2be51493c14e638fbf55319853e0313</citedby><cites>FETCH-LOGICAL-c4001-dcd8c5150c2b0cf0b85a3f48df5357386d2be51493c14e638fbf55319853e0313</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1063288$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Alshare, Khaled A.</creatorcontrib><creatorcontrib>Freeze, Ronald D.</creatorcontrib><creatorcontrib>Lane, Peggy L.</creatorcontrib><creatorcontrib>Wen, H. Joseph</creatorcontrib><title>The Impacts of System and Human Factors on Online Learning Systems Use and Learner Satisfaction</title><title>Decision sciences journal of innovative education</title><description>ABSTRACT
Success in an online learning environment is tied to both human and system factors. This study illuminates the unique contributions of human factors (comfort with online learning, self‐management of learning, and perceived Web self‐efficacy) to online learning system success, which is measured in terms of usage and satisfaction. The research model was tested employing SEM on a sample of 674 college students enrolled in at least one online course. The factors of comfort with online learning and perceived Web self‐efficacy were significant predictors of satisfaction. Comfort with online learning was significant in predicting usage. 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Success in an online learning environment is tied to both human and system factors. This study illuminates the unique contributions of human factors (comfort with online learning, self‐management of learning, and perceived Web self‐efficacy) to online learning system success, which is measured in terms of usage and satisfaction. The research model was tested employing SEM on a sample of 674 college students enrolled in at least one online course. The factors of comfort with online learning and perceived Web self‐efficacy were significant predictors of satisfaction. Comfort with online learning was significant in predicting usage. The impact of demographic variables was examined.</abstract><cop>Malden, USA</cop><pub>Blackwell Publishing Inc</pub><doi>10.1111/j.1540-4609.2011.00321.x</doi><tpages>25</tpages></addata></record> |
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subjects | College Students Computer Literacy Computer System Design Computer Use Demography Electronic Learning Human Factors Impact analysis Information Quality Internet IS Success Online Courses Online instruction Online Learning Prediction Predictor Variables Satisfaction Self Efficacy Self Management Student Attitudes Studies Success factors System Quality System Use User Satisfaction |
title | The Impacts of System and Human Factors on Online Learning Systems Use and Learner Satisfaction |
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