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Towards Quality Monitoring and Evaluation Methodology: Higher Education Case-Study

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Information Systems: Methods, Models, and Applications (UNISCON 2012)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 137))

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Abstract

Quality monitoring is a continuous function that uses the systematic data collection to provide management with indications of goals achievement. Higher education is considered in this paper. Problems of higher education quality monitoring are discussed. The reference model of quality monitoring and evaluation is suggested. Web mining is suggested as data collection method for higher education quality monitoring system. The architecture of higher education quality monitoring system is based on agent-oriented methodology.

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References

  1. Kusek, J.Z., Rist, R.C.: Ten Steps to a Results-Based Monitoring and Evaluation System: a Handbook for Development Practitioners. The World Bank, Washington, DC (2004)

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Author information

Authors and Affiliations

  1. National Technical University “Kharkiv Polytechnic Institute”, Frunze str. 21, 61002, Kharkiv, Ukraine

    Olga Cherednichenko & Olga Yangolenko

Authors
  1. Olga Cherednichenko
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  2. Olga Yangolenko
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Editor information

Editors and Affiliations

  1. Institute for Applied Informatics, Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria

    Heinrich C. Mayr  & Christian Kop  & 

  2. Brigham Young University, Provo, UT, USA

    Stephen Liddle

  3. School of Computing, Engineering & Mathematics, University of Western Sydney, Penrith, NSW, Australia

    Athula Ginige

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Cherednichenko, O., Yangolenko, O. (2013). Towards Quality Monitoring and Evaluation Methodology: Higher Education Case-Study. In: Mayr, H.C., Kop, C., Liddle, S., Ginige, A. (eds) Information Systems: Methods, Models, and Applications. UNISCON 2012. Lecture Notes in Business Information Processing, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38370-0_11

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  • DOI: https://doi.org/10.1007/978-3-642-38370-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38369-4

  • Online ISBN: 978-3-642-38370-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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