Structural relationships among internal locus of control, institutional support, flow, and learner persistence in cyber universities
Although cyber education has become significant due to the development of appropriate information and communication technology, it has a problem as compared to traditional educational methods’ learning outcomes: a low rate of learner persistence. Learning outcomes in the cyber environment are comple...
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Veröffentlicht in: | Computers in human behavior 2011-03, Vol.27 (2), p.714-722 |
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creator | Joo, Young Ju Joung, Sunyoung Sim, Woo Jin |
description | Although cyber education has become significant due to the development of appropriate information and communication technology, it has a problem as compared to traditional educational methods’ learning outcomes: a low rate of learner persistence. Learning outcomes in the cyber environment are complex phenomena affected by various factors, which need integrative comprehension regarding how the variables affect learning outcomes, for qualitative improvement. The current study aimed to establish a structural equation model explaining the causal relationships among internal locus of control, institutional support, flow, and learner persistence, and to examine the practical direct and indirect effects among them. Therefore, we conducted surveys on these variables, in order to examine the causal relationships among them. We received responses from 568 students at W Cyber University. The results indicate direct effects between learner’s internal locus of control and flow (
ß
=
.273), between institutional support and flow (
ß
=
.487), between internal locus of control and flow (
ß
=
.333), and between flow and learner persistence (
ß
=
.705). In addition, we found flow has an intermediating effect between internal locus of control and learner persistence and between institutional support and learner persistence. We propose strategies to raise learner persistence by improving the learner’s internal locus of control, institutional support, and flow based on these results. |
doi_str_mv | 10.1016/j.chb.2010.09.007 |
format | Article |
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ß
=
.273), between institutional support and flow (
ß
=
.487), between internal locus of control and flow (
ß
=
.333), and between flow and learner persistence (
ß
=
.705). In addition, we found flow has an intermediating effect between internal locus of control and learner persistence and between institutional support and learner persistence. We propose strategies to raise learner persistence by improving the learner’s internal locus of control, institutional support, and flow based on these results.</description><identifier>ISSN: 0747-5632</identifier><identifier>EISSN: 1873-7692</identifier><identifier>DOI: 10.1016/j.chb.2010.09.007</identifier><identifier>CODEN: CHBEEQ</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Biological and medical sciences ; Computer simulation ; Cyber University ; Education ; Educational psychology ; Flow ; Fundamental and applied biological sciences. Psychology ; Human behavior ; Institutional support ; Internal locus of control ; Learner persistence ; Learning ; Mathematical analysis ; Mathematical models ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Pupil and student. Academic achievement and failure ; Strategy ; Students</subject><ispartof>Computers in human behavior, 2011-03, Vol.27 (2), p.714-722</ispartof><rights>2010 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-be8b19e0da979ec0a2b1f4c9290e25d87371aaa3cfe7beff27c1d55ecc916b203</citedby><cites>FETCH-LOGICAL-c359t-be8b19e0da979ec0a2b1f4c9290e25d87371aaa3cfe7beff27c1d55ecc916b203</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0747563210002827$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23871273$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Joo, Young Ju</creatorcontrib><creatorcontrib>Joung, Sunyoung</creatorcontrib><creatorcontrib>Sim, Woo Jin</creatorcontrib><title>Structural relationships among internal locus of control, institutional support, flow, and learner persistence in cyber universities</title><title>Computers in human behavior</title><description>Although cyber education has become significant due to the development of appropriate information and communication technology, it has a problem as compared to traditional educational methods’ learning outcomes: a low rate of learner persistence. Learning outcomes in the cyber environment are complex phenomena affected by various factors, which need integrative comprehension regarding how the variables affect learning outcomes, for qualitative improvement. The current study aimed to establish a structural equation model explaining the causal relationships among internal locus of control, institutional support, flow, and learner persistence, and to examine the practical direct and indirect effects among them. Therefore, we conducted surveys on these variables, in order to examine the causal relationships among them. We received responses from 568 students at W Cyber University. The results indicate direct effects between learner’s internal locus of control and flow (
ß
=
.273), between institutional support and flow (
ß
=
.487), between internal locus of control and flow (
ß
=
.333), and between flow and learner persistence (
ß
=
.705). In addition, we found flow has an intermediating effect between internal locus of control and learner persistence and between institutional support and learner persistence. We propose strategies to raise learner persistence by improving the learner’s internal locus of control, institutional support, and flow based on these results.</description><subject>Biological and medical sciences</subject><subject>Computer simulation</subject><subject>Cyber University</subject><subject>Education</subject><subject>Educational psychology</subject><subject>Flow</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Human behavior</subject><subject>Institutional support</subject><subject>Internal locus of control</subject><subject>Learner persistence</subject><subject>Learning</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Pupil and student. Academic achievement and failure</subject><subject>Strategy</subject><subject>Students</subject><issn>0747-5632</issn><issn>1873-7692</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9kE1v1DAQhq0KpC6FH8DNF8Rls7WdJl6LE6oKVKrEAXq2nMmEeuW1g8cp6r0_HEdbceRked6P0TyMvZdiJ4XsLw87eBh2StS_MDsh9BnbyL1uG90b9YpthL7STde36py9IToIIbpO9Bv2_KPkBcqSXeAZgys-RXrwM3F3TPEX97FgjlUMCRbiaeKQYskpbKtExZdlTVSdlnlOuWz5FNKfLXdx5AFdjpj5jJk8FYyANcThaajDJfrHdV480lv2enKB8N3Le8Huv9z8vP7W3H3_env9-a6BtjOlGXA_SINidEYbBOHUIKcrMMoIVN1Yr9XSOdfChHrAaVIa5Nh1CGBkPyjRXrCPp945p98LUrFHT4AhuIhpIbvvZacrmLY65ckJORFlnOyc_dHlJyuFXYHbg63A7QrcCmMr8Jr58NLuCFyYsovg6V9QtXstlV67P518WE999JgtgV_hjD4jFDsm_58tfwHDXJpl</recordid><startdate>20110301</startdate><enddate>20110301</enddate><creator>Joo, Young Ju</creator><creator>Joung, Sunyoung</creator><creator>Sim, Woo Jin</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20110301</creationdate><title>Structural relationships among internal locus of control, institutional support, flow, and learner persistence in cyber universities</title><author>Joo, Young Ju ; Joung, Sunyoung ; Sim, Woo Jin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-be8b19e0da979ec0a2b1f4c9290e25d87371aaa3cfe7beff27c1d55ecc916b203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Biological and medical sciences</topic><topic>Computer simulation</topic><topic>Cyber University</topic><topic>Education</topic><topic>Educational psychology</topic><topic>Flow</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Human behavior</topic><topic>Institutional support</topic><topic>Internal locus of control</topic><topic>Learner persistence</topic><topic>Learning</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Pupil and student. Academic achievement and failure</topic><topic>Strategy</topic><topic>Students</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Joo, Young Ju</creatorcontrib><creatorcontrib>Joung, Sunyoung</creatorcontrib><creatorcontrib>Sim, Woo Jin</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computers in human behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Joo, Young Ju</au><au>Joung, Sunyoung</au><au>Sim, Woo Jin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Structural relationships among internal locus of control, institutional support, flow, and learner persistence in cyber universities</atitle><jtitle>Computers in human behavior</jtitle><date>2011-03-01</date><risdate>2011</risdate><volume>27</volume><issue>2</issue><spage>714</spage><epage>722</epage><pages>714-722</pages><issn>0747-5632</issn><eissn>1873-7692</eissn><coden>CHBEEQ</coden><abstract>Although cyber education has become significant due to the development of appropriate information and communication technology, it has a problem as compared to traditional educational methods’ learning outcomes: a low rate of learner persistence. Learning outcomes in the cyber environment are complex phenomena affected by various factors, which need integrative comprehension regarding how the variables affect learning outcomes, for qualitative improvement. The current study aimed to establish a structural equation model explaining the causal relationships among internal locus of control, institutional support, flow, and learner persistence, and to examine the practical direct and indirect effects among them. Therefore, we conducted surveys on these variables, in order to examine the causal relationships among them. We received responses from 568 students at W Cyber University. The results indicate direct effects between learner’s internal locus of control and flow (
ß
=
.273), between institutional support and flow (
ß
=
.487), between internal locus of control and flow (
ß
=
.333), and between flow and learner persistence (
ß
=
.705). In addition, we found flow has an intermediating effect between internal locus of control and learner persistence and between institutional support and learner persistence. We propose strategies to raise learner persistence by improving the learner’s internal locus of control, institutional support, and flow based on these results.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.chb.2010.09.007</doi><tpages>9</tpages></addata></record> |
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subjects | Biological and medical sciences Computer simulation Cyber University Education Educational psychology Flow Fundamental and applied biological sciences. Psychology Human behavior Institutional support Internal locus of control Learner persistence Learning Mathematical analysis Mathematical models Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Pupil and student. Academic achievement and failure Strategy Students |
title | Structural relationships among internal locus of control, institutional support, flow, and learner persistence in cyber universities |
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