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Data Collection Strategies

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Towards an Intelligent Learning Management System Under Blended Learning

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

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Abstract

In general, this part describes ways of data collection and analysis, pointing out the central technical and methodological procedures considered. To this end, and in order to describe, characterize and understand the online learning community of a public HEI in b-learning mode, the case study was considered the most appropriate methodological approach. According to Yin (2006), the case study is an empirical research process that intends to study a contemporary phenomenon in the real context, being particularly suited to adopt when the boundaries between phenomenon and context are not clearly transparent. In Yin’s own words ( 2006): “Compared to other methods, the strength of the case study method is its ability to examine, in-depth, the ‘case’ within its ‘real life’ context” (p. 111). Generally speaking, the case study aims to tell a story that adds something to the prior knowledge and is, as far as possible, interesting and illuminative (Yin 2006).

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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

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  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 Collection Strategies. 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_4

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  • DOI: https://doi.org/10.1007/978-3-319-02078-5_4

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