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International Conference on Web-Based Learning

ICWL 2013: Advances in Web-Based Learning – ICWL 2013 Workshops pp 63–72Cite as

Analyzing Learning Flows in Digital Learning Ecosystems

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8390))

Abstract

This paper envisages emerging trends and methods in learning analytics for post-LMS era, where learning increasingly takes place in distributed, user-defined digital learning ecosystems. Inspired by the recent developments on uptake framework and Experience API, we propose learning flow as the main unit of analysis while studying learning-related interactions.

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Acknowledgments

This study was partly funded by the targeted research grant No. 0130159s08 issued by the Ministry of Education and Research of the Republic of Estonia.

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Authors and Affiliations

  1. Tallinn University, Narva rd. 25, 10120, Tallinn, Estonia

    Maka Eradze, Kai Pata & Mart Laanpere

Authors
  1. Maka Eradze
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  2. Kai Pata
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  3. Mart Laanpere
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Corresponding author

Correspondence to Mart Laanpere .

Editor information

Editors and Affiliations

  1. Dickson Computer Systems, Kowloon, Hong Kong SAR

    Dickson K. W. Chiu

  2. The University of Hong Kong, Pokfulam, Hong Kong SAR

    Minhong Wang

  3. University of Craiova, Craiova, Romania

    Elvira Popescu

  4. City University of Hong Kong, Hong Kong, Hong Kong SAR

    Qing Li

  5. City University of Hong Kong, Kowloon, Hong Kong SAR

    Rynson Lau

  6. Department of Computer Science and Information Engineering, National Central University, Jhongli City, Taiwan

    Timothy K. Shih

  7. Department of Electrical Engineering, National Cheng Kung University, Taiwan, Taiwan

    Chu-Sing Yang

  8. Digital Systems Centre for Research & Technology Hellas (CERTH), University of Piraeus Dept of Digital Systems, Piraeus, Greece

    Demetrios G. Sampson

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Eradze, M., Pata, K., Laanpere, M. (2015). Analyzing Learning Flows in Digital Learning Ecosystems. In: Chiu, D., et al. Advances in Web-Based Learning – ICWL 2013 Workshops. ICWL 2013. Lecture Notes in Computer Science(), vol 8390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46315-4_7

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  • DOI: https://doi.org/10.1007/978-3-662-46315-4_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46314-7

  • Online ISBN: 978-3-662-46315-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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