Factors determining e‐learning service quality
e‐Learning courses are fast becoming common‐place, yet the success of these online courses varies considerably. Since limited research addresses the issue of e‐learning quality (ELQ) of service in higher education environments, there is an increasing need to effectively assess ELQ. In this paper, we...
Gespeichert in:
Veröffentlicht in: | British journal of educational technology 2018-05, Vol.49 (3), p.412-426 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 426 |
---|---|
container_issue | 3 |
container_start_page | 412 |
container_title | British journal of educational technology |
container_volume | 49 |
creator | Uppal, Muhammad Amaad Ali, Samnan Gulliver, Stephen R. |
description | e‐Learning courses are fast becoming common‐place, yet the success of these online courses varies considerably. Since limited research addresses the issue of e‐learning quality (ELQ) of service in higher education environments, there is an increasing need to effectively assess ELQ. In this paper, we argue that to obtain a satisfactory e‐learning student experience, we must offer more than access to learning material. The research proposes an extended SERVQUAL model, the ELQ model, which in addition to key service constructs, facilitates consideration of both information and system quality factors. Exploratory Factor Analysis is conducted to investigate the reliability and validity of the measurement model, and multiple regression analysis is used to test the research model. Data analysis reveals that Assurance, Responsiveness, Tangibility, Course Website and Learning Content have a positive correlation with the perception of ELQ. e‐Learning students value a stable, and easy to use e‐learning environment, yet do not perceive empathy and reliability as significant to student perception of ELQ. |
doi_str_mv | 10.1111/bjet.12552 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2023535212</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ericid>EJ1175561</ericid><sourcerecordid>2023535212</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3232-fee45ef90ef0161df4f0aa96d4d5984a7d91fa5bedb7dd97c272794256c4cf7b3</originalsourceid><addsrcrecordid>eNp9kEFLAzEQhYMoWKsX70LBm7A1k0023aOWVi0FL_UcsslEUrbdNtkqvfkT_I3-EmNXPDqX4fE-3jCPkEugQ0hzWy2xHQITgh2RHvBCZiORi2PSo5TKDCjkp-QsxmWSNBe8R-hUm7YJcWCxxbDya79-HeDXx2eNOhxExPDmDQ62O137dn9OTpyuI1787j55mU4W48ds_vzwNL6bZyZnOcscIhfoSoqOQgHWcUe1LgvLrShHXEtbgtOiQltJa0tpmGSy5EwUhhsnq7xPrrvcTWi2O4ytWja7sE4nFaMsT18xYIm66SgTmhgDOrUJfqXDXgFVP42on0bUoZEEX3UwBm_-wMkMQApRQPKh8999jft_ktT9bLLoMr8BoEBtWw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2023535212</pqid></control><display><type>article</type><title>Factors determining e‐learning service quality</title><source>Education Source</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Uppal, Muhammad Amaad ; Ali, Samnan ; Gulliver, Stephen R.</creator><creatorcontrib>Uppal, Muhammad Amaad ; Ali, Samnan ; Gulliver, Stephen R.</creatorcontrib><description>e‐Learning courses are fast becoming common‐place, yet the success of these online courses varies considerably. Since limited research addresses the issue of e‐learning quality (ELQ) of service in higher education environments, there is an increasing need to effectively assess ELQ. In this paper, we argue that to obtain a satisfactory e‐learning student experience, we must offer more than access to learning material. The research proposes an extended SERVQUAL model, the ELQ model, which in addition to key service constructs, facilitates consideration of both information and system quality factors. Exploratory Factor Analysis is conducted to investigate the reliability and validity of the measurement model, and multiple regression analysis is used to test the research model. Data analysis reveals that Assurance, Responsiveness, Tangibility, Course Website and Learning Content have a positive correlation with the perception of ELQ. e‐Learning students value a stable, and easy to use e‐learning environment, yet do not perceive empathy and reliability as significant to student perception of ELQ.</description><identifier>ISSN: 0007-1013</identifier><identifier>EISSN: 1467-8535</identifier><identifier>DOI: 10.1111/bjet.12552</identifier><language>eng</language><publisher>Coventry: Wiley-Blackwell</publisher><subject>CAI ; Computer assisted instruction ; Correlation ; Data analysis ; Distance learning ; Educational Environment ; Educational Quality ; Electronic Learning ; Empathy ; Factor Analysis ; Learning ; Measurement ; Model testing ; Multiple Regression Analysis ; Online Courses ; Perception ; Quality ; Quality Assurance ; Regression models ; Reliability ; Reliability analysis ; Reliability aspects ; Student Attitudes ; Student Experience ; Validity ; Web Sites</subject><ispartof>British journal of educational technology, 2018-05, Vol.49 (3), p.412-426</ispartof><rights>2017 British Educational Research Association</rights><rights>British Educational Research Association © 2018 BERA</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3232-fee45ef90ef0161df4f0aa96d4d5984a7d91fa5bedb7dd97c272794256c4cf7b3</citedby><cites>FETCH-LOGICAL-c3232-fee45ef90ef0161df4f0aa96d4d5984a7d91fa5bedb7dd97c272794256c4cf7b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fbjet.12552$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fbjet.12552$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1175561$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Uppal, Muhammad Amaad</creatorcontrib><creatorcontrib>Ali, Samnan</creatorcontrib><creatorcontrib>Gulliver, Stephen R.</creatorcontrib><title>Factors determining e‐learning service quality</title><title>British journal of educational technology</title><description>e‐Learning courses are fast becoming common‐place, yet the success of these online courses varies considerably. Since limited research addresses the issue of e‐learning quality (ELQ) of service in higher education environments, there is an increasing need to effectively assess ELQ. In this paper, we argue that to obtain a satisfactory e‐learning student experience, we must offer more than access to learning material. The research proposes an extended SERVQUAL model, the ELQ model, which in addition to key service constructs, facilitates consideration of both information and system quality factors. Exploratory Factor Analysis is conducted to investigate the reliability and validity of the measurement model, and multiple regression analysis is used to test the research model. Data analysis reveals that Assurance, Responsiveness, Tangibility, Course Website and Learning Content have a positive correlation with the perception of ELQ. e‐Learning students value a stable, and easy to use e‐learning environment, yet do not perceive empathy and reliability as significant to student perception of ELQ.</description><subject>CAI</subject><subject>Computer assisted instruction</subject><subject>Correlation</subject><subject>Data analysis</subject><subject>Distance learning</subject><subject>Educational Environment</subject><subject>Educational Quality</subject><subject>Electronic Learning</subject><subject>Empathy</subject><subject>Factor Analysis</subject><subject>Learning</subject><subject>Measurement</subject><subject>Model testing</subject><subject>Multiple Regression Analysis</subject><subject>Online Courses</subject><subject>Perception</subject><subject>Quality</subject><subject>Quality Assurance</subject><subject>Regression models</subject><subject>Reliability</subject><subject>Reliability analysis</subject><subject>Reliability aspects</subject><subject>Student Attitudes</subject><subject>Student Experience</subject><subject>Validity</subject><subject>Web Sites</subject><issn>0007-1013</issn><issn>1467-8535</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kEFLAzEQhYMoWKsX70LBm7A1k0023aOWVi0FL_UcsslEUrbdNtkqvfkT_I3-EmNXPDqX4fE-3jCPkEugQ0hzWy2xHQITgh2RHvBCZiORi2PSo5TKDCjkp-QsxmWSNBe8R-hUm7YJcWCxxbDya79-HeDXx2eNOhxExPDmDQ62O137dn9OTpyuI1787j55mU4W48ds_vzwNL6bZyZnOcscIhfoSoqOQgHWcUe1LgvLrShHXEtbgtOiQltJa0tpmGSy5EwUhhsnq7xPrrvcTWi2O4ytWja7sE4nFaMsT18xYIm66SgTmhgDOrUJfqXDXgFVP42on0bUoZEEX3UwBm_-wMkMQApRQPKh8999jft_ktT9bLLoMr8BoEBtWw</recordid><startdate>201805</startdate><enddate>201805</enddate><creator>Uppal, Muhammad Amaad</creator><creator>Ali, Samnan</creator><creator>Gulliver, Stephen R.</creator><general>Wiley-Blackwell</general><general>Blackwell Publishing Ltd</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</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>201805</creationdate><title>Factors determining e‐learning service quality</title><author>Uppal, Muhammad Amaad ; Ali, Samnan ; Gulliver, Stephen R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3232-fee45ef90ef0161df4f0aa96d4d5984a7d91fa5bedb7dd97c272794256c4cf7b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>CAI</topic><topic>Computer assisted instruction</topic><topic>Correlation</topic><topic>Data analysis</topic><topic>Distance learning</topic><topic>Educational Environment</topic><topic>Educational Quality</topic><topic>Electronic Learning</topic><topic>Empathy</topic><topic>Factor Analysis</topic><topic>Learning</topic><topic>Measurement</topic><topic>Model testing</topic><topic>Multiple Regression Analysis</topic><topic>Online Courses</topic><topic>Perception</topic><topic>Quality</topic><topic>Quality Assurance</topic><topic>Regression models</topic><topic>Reliability</topic><topic>Reliability analysis</topic><topic>Reliability aspects</topic><topic>Student Attitudes</topic><topic>Student Experience</topic><topic>Validity</topic><topic>Web Sites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Uppal, Muhammad Amaad</creatorcontrib><creatorcontrib>Ali, Samnan</creatorcontrib><creatorcontrib>Gulliver, Stephen R.</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</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>British journal of educational technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Uppal, Muhammad Amaad</au><au>Ali, Samnan</au><au>Gulliver, Stephen R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1175561</ericid><atitle>Factors determining e‐learning service quality</atitle><jtitle>British journal of educational technology</jtitle><date>2018-05</date><risdate>2018</risdate><volume>49</volume><issue>3</issue><spage>412</spage><epage>426</epage><pages>412-426</pages><issn>0007-1013</issn><eissn>1467-8535</eissn><abstract>e‐Learning courses are fast becoming common‐place, yet the success of these online courses varies considerably. Since limited research addresses the issue of e‐learning quality (ELQ) of service in higher education environments, there is an increasing need to effectively assess ELQ. In this paper, we argue that to obtain a satisfactory e‐learning student experience, we must offer more than access to learning material. The research proposes an extended SERVQUAL model, the ELQ model, which in addition to key service constructs, facilitates consideration of both information and system quality factors. Exploratory Factor Analysis is conducted to investigate the reliability and validity of the measurement model, and multiple regression analysis is used to test the research model. Data analysis reveals that Assurance, Responsiveness, Tangibility, Course Website and Learning Content have a positive correlation with the perception of ELQ. e‐Learning students value a stable, and easy to use e‐learning environment, yet do not perceive empathy and reliability as significant to student perception of ELQ.</abstract><cop>Coventry</cop><pub>Wiley-Blackwell</pub><doi>10.1111/bjet.12552</doi><tpages>15</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0007-1013 |
ispartof | British journal of educational technology, 2018-05, Vol.49 (3), p.412-426 |
issn | 0007-1013 1467-8535 |
language | eng |
recordid | cdi_proquest_journals_2023535212 |
source | Education Source; Wiley Online Library Journals Frontfile Complete |
subjects | CAI Computer assisted instruction Correlation Data analysis Distance learning Educational Environment Educational Quality Electronic Learning Empathy Factor Analysis Learning Measurement Model testing Multiple Regression Analysis Online Courses Perception Quality Quality Assurance Regression models Reliability Reliability analysis Reliability aspects Student Attitudes Student Experience Validity Web Sites |
title | Factors determining e‐learning service quality |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T03%3A12%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Factors%20determining%20e%E2%80%90learning%20service%20quality&rft.jtitle=British%20journal%20of%20educational%20technology&rft.au=Uppal,%20Muhammad%20Amaad&rft.date=2018-05&rft.volume=49&rft.issue=3&rft.spage=412&rft.epage=426&rft.pages=412-426&rft.issn=0007-1013&rft.eissn=1467-8535&rft_id=info:doi/10.1111/bjet.12552&rft_dat=%3Cproquest_cross%3E2023535212%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2023535212&rft_id=info:pmid/&rft_ericid=EJ1175561&rfr_iscdi=true |