Open-source learning management systems: a predictive model for higher education.
The present study investigated the role of pedagogical, technical, and institutional profile factors in an institution of higher education's decision to select an open-source learning management system (LMS). Drawing on the results of previous research that measured patterns of deployment of open-so...
| Publicado en: | Journal of Computer Assisted Learning Vol. 28; no. 2; pp. 114 - 126 |
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| Autor principal: | |
| Formato: | research tables/charts Journal Article |
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Wiley-Blackwell
Apr2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104529749&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104529749 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Apr2012 vid: 28 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104529749 73283834 10.1111/j.1365-2729.2011.00422.x 104529749 ppf: 114 ppct: 12 formats: tig: atl: Open-source learning management systems: a predictive model for higher education. aug: au: Williams van Rooij, S. affil: George Mason University, Fairfax, VA, USA sug: subj: Software Models, Educational Colleges and Universities School Administrators Human Virginia Questionnaires Coefficient alpha Data Analysis Software Logistic Regression Chi Square Test Confidence Intervals Odds Ratio ab: The present study investigated the role of pedagogical, technical, and institutional profile factors in an institution of higher education's decision to select an open-source learning management system (LMS). Drawing on the results of previous research that measured patterns of deployment of open-source software (OSS) in US higher education and the relative importance of specific selection criteria when considering an OSS LMS, a Web survey was conducted among 285 Chief Information Officers and Chief Academic Officers from a variety of US institutions to determine patterns of OSS LMS deployment, as well as the influence of specific selection criteria. Binary logistic regression analysis revealed Carnegie Classification, institutional governance, previous experience with OSS, focus on student learning, and the commitment to organizational self-reliance to be key influencers in the OSS LMS selection decision. The implications of these findings for future research and for institutional decision-making are discussed. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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