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World Conference on Information Systems and Technologies

WorldCIST'18 2018: Trends and Advances in Information Systems and Technologies pp 722–731Cite as

Higher Education Analytics: New Trends in Program Assessments

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 745))

Abstract

End of course evaluations technologies can provide critical analytics that can be used to improve the academic outcomes of almost any university. This paper presents key findings from a study conducted on more than twenty different academic degree-programs, regarding their use of end of course evaluation technology. Data was collected from an online survey instrument, in-depth interviews with academic administrators, and two case studies, one in the US and another in the UAE. The study reveals new trends including sectioning and categorization; questions standardization and benchmarking; alignment with key performance indicators and key learning outcomes; and grouping by course, program outcome, program, college, etc. in addition to those vertical structures, higher education institutions are vertically examining a specific question(s) across.

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Author information

Authors and Affiliations

  1. Zayed University, Dubai, UAE

    Adam Marks & Maytha AL-Ali

Authors
  1. Adam Marks
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  2. Maytha AL-Ali
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Corresponding author

Correspondence to Adam Marks .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. DSI/EEUM, Universidade do Minho, Guimarães, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

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Marks, A., AL-Ali, M. (2018). Higher Education Analytics: New Trends in Program Assessments. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-77703-0_72

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  • DOI: https://doi.org/10.1007/978-3-319-77703-0_72

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77702-3

  • Online ISBN: 978-3-319-77703-0

  • eBook Packages: EngineeringEngineering (R0)

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