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Analytics that Inform the University: Using Data You Already Have

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Title: Analytics that Inform the University: Using Data You Already Have
Language: English
Authors: Dziuban, Charles, Moskal, Patsy, Cavanagh, Thomas, Watts, Andre
Source: Journal of Asynchronous Learning Networks. Jun 2012 16(3):21-38.
Availability: Sloan Consortium. P.O. Box 1238, Newburyport, MA 01950. e-mail: publisher@sloanconsortium.org; Web site: http://sloanconsortium.org/publications/jaln_main
Peer Reviewed: Y
Page Count: 18
Publication Date: 2012
Document Type: Journal Articles
Reports - Descriptive
Education Level: Higher Education
Postsecondary Education
Descriptors: Educational Change, Strategic Planning, Research Utilization, Databases, Internet, Distance Education, College Administration, Program Implementation, Program Descriptions, Outcomes of Education, Outcome Measures, Decision Making, Data, Data Analysis, Computer Software, Computer Managed Instruction, Educational Technology, Web Based Instruction, Open Source Technology, Computer System Design, Decision Support Systems, Educational Policy, Program Effectiveness, College Instruction
Geographic Terms: Florida, Indiana, Maryland
ISSN: 1939-5256
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. (Contains 7 tables and 8 figures.)
Abstractor: As Provided
Number of References: 25
Entry Date: 2012
Access URL: https://sloanconsortium.org/jaln/v16n3/analytics-inform-university-using-data-you-already-have
Accession Number: EJ982670
Database: ERIC
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  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. (Contains 7 tables and 8 figures.)
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 21
    Subjects:
      – SubjectFull: Educational Change
        Type: general
      – SubjectFull: Strategic Planning
        Type: general
      – SubjectFull: Research Utilization
        Type: general
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      – SubjectFull: Internet
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      – SubjectFull: Distance Education
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      – SubjectFull: College Administration
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      – SubjectFull: Program Implementation
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      – SubjectFull: Program Descriptions
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      – SubjectFull: Outcomes of Education
        Type: general
      – SubjectFull: Outcome Measures
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      – SubjectFull: Decision Making
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      – SubjectFull: Data
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      – SubjectFull: Maryland
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      – TitleFull: Analytics that Inform the University: Using Data You Already Have
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