ANALYTICS THAT INFORM THE UNIVERSITY: USING DATA YOU ALREADY HAVE.
Saved in:
| Title: | ANALYTICS THAT INFORM THE UNIVERSITY: USING DATA YOU ALREADY HAVE. |
|---|---|
| Authors: | Dziuban, Charles1, Moskal, Patsy1, Cavanagh, Thomas1, Watts, Andre1 |
| Source: | Journal of Asynchronous Learning Networks. Jun2012, Vol. 16 Issue 3, p21-38. 18p. 1 Color Photograph, 3 Diagrams, 9 Charts, 3 Graphs. |
| Subject Terms: | *Decision making, *Learning, *Rating of students, *Educational planning |
| Company/Entity: | University of Central Florida |
| Abstract: | The authors describe the University of Central Florida's top-down / bottom-up action analytics approach to using data to inform decision-making at the University of Central Florida. The top-down approach utilizes information about programs, modalities, and college implementation of Web initiatives. The bottom-up approach continuously monitors outcomes attributable to distributed learning, including student ratings and student success. Combined, this top-down/bottom up approach becomes a powerful means for using large extant university datasets to provide significant insights that can be instrumental in strategic planning. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Asynchronous Learning Networks is the property of Online Learning Consortium and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: ehh DbLabel: Education Research Complete An: 85626775 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: ANALYTICS THAT INFORM THE UNIVERSITY: USING DATA YOU ALREADY HAVE. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dziuban%2C+Charles%22">Dziuban, Charles</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Moskal%2C+Patsy%22">Moskal, Patsy</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Cavanagh%2C+Thomas%22">Cavanagh, Thomas</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Watts%2C+Andre%22">Watts, Andre</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Asynchronous+Learning+Networks%22">Journal of Asynchronous Learning Networks</searchLink>. Jun2012, Vol. 16 Issue 3, p21-38. 18p. 1 Color Photograph, 3 Diagrams, 9 Charts, 3 Graphs. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br />*<searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Rating+of+students%22">Rating of students</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+planning%22">Educational planning</searchLink> – Name: SubjectCompany Label: Company/Entity Group: Su Data: <searchLink fieldCode="DE" term="%22University+of+Central+Florida%22">University of Central Florida</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The authors describe the University of Central Florida's top-down / bottom-up action analytics approach to using data to inform decision-making at the University of Central Florida. The top-down approach utilizes information about programs, modalities, and college implementation of Web initiatives. The bottom-up approach continuously monitors outcomes attributable to distributed learning, including student ratings and student success. Combined, this top-down/bottom up approach becomes a powerful means for using large extant university datasets to provide significant insights that can be instrumental in strategic planning. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Asynchronous Learning Networks is the property of Online Learning Consortium and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=85626775 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.24059/olj.v16i3.276 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 21 Subjects: – SubjectFull: Decision making Type: general – SubjectFull: Learning Type: general – SubjectFull: Rating of students Type: general – SubjectFull: Educational planning Type: general – SubjectFull: University of Central Florida Type: general Titles: – TitleFull: ANALYTICS THAT INFORM THE UNIVERSITY: USING DATA YOU ALREADY HAVE. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dziuban, Charles – PersonEntity: Name: NameFull: Moskal, Patsy – PersonEntity: Name: NameFull: Cavanagh, Thomas – PersonEntity: Name: NameFull: Watts, Andre IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2012 Type: published Y: 2012 Numbering: – Type: volume Value: 16 – Type: issue Value: 3 Titles: – TitleFull: Journal of Asynchronous Learning Networks Type: main |
| ResultId | 1 |
