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A Ubiquitous Learning Analytics Architecture for a Service-Oriented MOOC Platform

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Digital Education: At the MOOC Crossroads Where the Interests of Academia and Business Converge (EMOOCs 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11475))

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Abstract

As Massive Open Online Courses (MOOCs) generate a huge amount of learning activity data through its thousands of users, great potential is provided to use this data to understand and optimize the learning experience and outcome, which is the goal of Learning Analytics. But first, the data needs to be collected, processed, analyzed and reported in order to gain actionable insights. Technical concepts and implementations are rarely accessible and therefore this work presents an architecture how Learning Analytics can be implemented in a service-oriented MOOC platform. To achieve that, a service based on extensible schema-agnostic processing pipelines is introduced for the HPI MOOC platform. The approach was evaluated regarding its scalability, extensibility, and versatility with real-world use cases. Also, data privacy was taken into account. Based on five years of running the service in production on several platform deployments, six design recommendations are presented which can be utilized as best practices for platform vendors and researchers when implementing Learning Analytics in MOOCs.

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Notes

  1. 1.

    https://open.hpi.de/.

  2. 2.

    https://xapi.com/overview/.

  3. 3.

    https://open.sap.com/.

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Authors and Affiliations

  1. Hasso Plattner Institute, Potsdam, Germany

    Tobias Rohloff, Jan Renz, Gerardo Navarro Suarez & Christoph Meinel

Authors
  1. Tobias Rohloff
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  2. Jan Renz
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  3. Gerardo Navarro Suarez
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  4. Christoph Meinel
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Corresponding author

Correspondence to Tobias Rohloff .

Editor information

Editors and Affiliations

  1. University of Naples Federico II, Napoli, Italy

    Mauro Calise

  2. University Carlos III de Madrid, Madrid, Spain

    Carlos Delgado Kloos

  3. Massachusetts Institute of Technology, Cambridge, MA, USA

    Justin Reich

  4. Massachusetts Institute of Technology, Cambridge, MA, USA

    Jose A. Ruiperez-Valiente

  5. Ludwig Maximilian University of Munich, Munich, Germany

    Martin Wirsing

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Rohloff, T., Renz, J., Suarez, G.N., Meinel, C. (2019). A Ubiquitous Learning Analytics Architecture for a Service-Oriented MOOC Platform. In: Calise, M., Delgado Kloos, C., Reich, J., Ruiperez-Valiente, J., Wirsing, M. (eds) Digital Education: At the MOOC Crossroads Where the Interests of Academia and Business Converge. EMOOCs 2019. Lecture Notes in Computer Science(), vol 11475. Springer, Cham. https://doi.org/10.1007/978-3-030-19875-6_19

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  • DOI: https://doi.org/10.1007/978-3-030-19875-6_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19874-9

  • Online ISBN: 978-3-030-19875-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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