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Towards an Intelligent Learning Management System Under Blended Learning pp 69–77Cite as

Data Preparation and Implementation

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 59))

Abstract

Following the sequence of steps initiated with the appropriate strategies for data collection presented in Chapter 4, the present chapter refers to the data preparation and implementation procedures that were involved in the exemplified case studies of Part III.

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Notes

  1. 1.

    According to Hill and Hill (2000), variables components can be measured from questions/items of a survey.

  2. 2.

    However, it is important to have in mind that it is rarely possible to demonstrate the validity of responses (Hill and Hill 2000).

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Author information

Authors and Affiliations

  1. Department of Education, Social Sciences and Humanities, University of Lisbon, Lisbon, Portugal

    Sofia B. Dias & José A. Diniz

  2. Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Leontios J. Hadjileontiadis

Authors
  1. Sofia B. Dias
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  2. José A. Diniz
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  3. Leontios J. Hadjileontiadis
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Correspondence to Sofia B. Dias .

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Dias, S.B., Diniz, J.A., Hadjileontiadis, L.J. (2014). Data Preparation and Implementation. In: Towards an Intelligent Learning Management System Under Blended Learning. Intelligent Systems Reference Library, vol 59. Springer, Cham. https://doi.org/10.1007/978-3-319-02078-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-02078-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02077-8

  • Online ISBN: 978-3-319-02078-5

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