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Displaying results 1 to 3 of 3.

  1. The Goal-oriented Business Intelligence Architectures Method
    A Process-based Approach to Combine Traditional and Novel Analytical Technologies
    Author: Fekete, David
    Published: 2020
    Publisher:  readbox unipress in der readbox publishing GmbH, Dortmund ; Universitäts- und Landesbibliothek Münster, Münster

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    Source: Union catalogues
    Contributor: Vossen, Gottfried (Akademischer Betreuer)
    Language: English
    Media type: Dissertation
    Format: Online
    Other identifier:
    Series: Wissenschaftliche Schriften der WWU Münster / Reihe IV ; 18
    Subjects: Business Intelligence; Big Data; Unternehmensarchitektur; Datenanalyse; Business intelligence; Betriebliches Informationssystem; Unternehmensarchitektur; Big Data; Engineering Data Management
    Other subjects: (stw)Betriebliches Informationssystem; (stw)Unternehmensarchitektur; (stw)Big Data; (stw)Data Analytics; Array; Array; (BISAC Subject Heading)COM000000; business intelligence; architectures; goal-oriented; big data; technology selection; analytics; Architekturen; ziel-orientiert; Technologieauswahl; Graue Literatur
    Scope: Online-Ressource
    Notes:

    In: Wissenschaftliche Schriften der WWU Münster / Reihe IV

    Dissertation, Universität Münster, 2018
  2. Using predictive analytics to track students
    evidence from a seven-college experiment
    Author: Bergman, Peter; Kopko, Elizabeth; Rodríguez, Julio
    Published: June 2021
    Publisher:  CESifo, Center for Economic Studies & Ifo Institute, Munich, Germany

    Tracking is widespread in U.S. education. In post-secondary education alone, at least 71% of colleges use a test to track students. However, there are concerns that the most frequently used college placement exams lack validity and reliability, and... more

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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 63
    Inter-library loan:
    No inter-library loan

     

    Tracking is widespread in U.S. education. In post-secondary education alone, at least 71% of colleges use a test to track students. However, there are concerns that the most frequently used college placement exams lack validity and reliability, and unnecessarily place students from under-represented groups into remedial courses. While recent research has shown that tracking can have positive effects on student learning, inaccurate placement has consequences: students face misaligned curricula and must pay tuition for remedial courses that do not bear credits toward graduation. We develop an alternative system to place students that uses predictive analytics to combine multiple measures into a placement instrument. Compared to colleges' existing placement tests, the algorithm is more predictive of future performance. We then conduct an experiment across seven colleges to evaluate the algorithm's effects on students. Placement rates into college-level courses increased substantially without reducing pass rates. Adjusting for multiple testing, algorithmic placement generally, though not always, narrowed gaps in college placement rates and remedial course taking across demographic groups. A detailed cost analysis shows that the algorithmic placement system is socially efficient: it saves costs for students while increasing college credits earned, which more than offsets increased costs for colleges. Costs could be reduced with improved data digitization as opposed to entering data by hand.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/236699
    Series: CESifo working paper ; no. 9157 (2021)
    Subjects: education; tracking; experiment; analytics
    Scope: 1 Online-Ressource (circa 55 Seiten), Illustrationen
  3. The role of analytics in achieving the sustainable development goal of zero hunger
    Author: Peters, Koen; Fleuren, Hein; Cruijssen, Frans
    Published: 26 March 2024
    Publisher:  CentER, Tilburg University, [Tilburg]

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    Verlag (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VS 37
    Inter-library loan:
    No inter-library loan
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Discussion paper / CentER ; no. 2024, 009
    Subjects: Sustainable development goals; zero hunger; analytics; operations research; impact
    Scope: 1 Online-Ressource (circa 49 Seiten), Illustrationen