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Collecting Unobtrusive Data: What Are the Current Challenges?

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Unobtrusive Observations of Learning in Digital Environments

Part of the book series: Advances in Analytics for Learning and Teaching ((AALT))

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Abstract

Sensing technologies are rapidly dropping in price and improving the quality of data acquisition. It is therefore expected that sensing technologies, paired with artificial intelligence algorithms, will become a common part of the educational researcher’s toolkit to unobtrusively measure learning phenomena in years to come. In this section, we learned about the potential of using multimodal and multichannel data to create rich models of higher-order constructs, namely engagement, self-regulated learning (SRL) and collaboration. The five chapters showcased various applications of sensing technologies and logging mechanisms to generate indicators that can be critical for studying and supporting learning.

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Author information

Authors and Affiliations

  1. Monash University, Clayton, Australia

    Roberto Martinez-Maldonado

Authors
  1. Roberto Martinez-Maldonado
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Correspondence to Roberto Martinez-Maldonado .

Editor information

Editors and Affiliations

  1. Centre for Change and Complexity, University of South Australia, Adelaide, SA, Australia

    Vitomir Kovanovic

  2. School of Modeling Simulation and Training, University of Central Florida, Orlando, FL, USA

    Roger Azevedo

  3. Data Science in Higher Education Learning and Teaching, Curtin University, Bentley, WA, Australia

    David C. Gibson

  4. Learning, Design and Technology, University of Mannheim, Mannheim, BW, Germany

    Dirk lfenthaler

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Martinez-Maldonado, R. (2023). Collecting Unobtrusive Data: What Are the Current Challenges?. In: Kovanovic, V., Azevedo, R., Gibson, D.C., lfenthaler, D. (eds) Unobtrusive Observations of Learning in Digital Environments. Advances in Analytics for Learning and Teaching. Springer, Cham. https://doi.org/10.1007/978-3-031-30992-2_14

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  • DOI: https://doi.org/10.1007/978-3-031-30992-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-30991-5

  • Online ISBN: 978-3-031-30992-2

  • eBook Packages: EducationEducation (R0)

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