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A Survey of Mobile Learning Approaches for Teaching Internet of Things

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Mobile Technologies and Applications for the Internet of Things (IMCL 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 909))

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Abstract

Over the past few years, the interest in the Internet of Things (IoT) as well as the integration of mobile technology into education—called mobile learning—is rapidly rising. The purpose of this paper is to review mobile learning approaches that have been applied to teach IoT or related subjects and to derive lessons learned for designing mobile-learning-based IoT courses. To achieve this, we performed a systematic interdisciplinary literature review. The contribution of this paper is threefold. First, we present a survey of all identified publications in the research area, providing insights into the development of this field and showing its emerging importance. Second, we discuss different mobile learning approaches, focusing on approaches concerned explicitly with the special demands of these concepts in the context of IoT and related Computer Science topics. Third, by deriving lessons learned we provide a foundation for the informed selection of suitable mobile learning concepts as well as for evaluating future research in this area.

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Authors and Affiliations

  1. University of Applied Science Campus Vienna, Favoritenstr. 226, 1100, Vienna, Austria

    Sigrid Schefer-Wenzl, Igor Miladinovic & Alice Ensor

Authors
  1. Sigrid Schefer-Wenzl
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  2. Igor Miladinovic
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  3. Alice Ensor
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Corresponding author

Correspondence to Sigrid Schefer-Wenzl .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences, Villach, Austria

    Michael E. Auer

  2. Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Thrasyvoulos Tsiatsos

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Schefer-Wenzl, S., Miladinovic, I., Ensor, A. (2019). A Survey of Mobile Learning Approaches for Teaching Internet of Things. In: Auer, M., Tsiatsos, T. (eds) Mobile Technologies and Applications for the Internet of Things. IMCL 2018. Advances in Intelligent Systems and Computing, vol 909. Springer, Cham. https://doi.org/10.1007/978-3-030-11434-3_25

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