Sensors for seamless learning

Marcus Specht*, Limbu Bibeg Hang, Jan Schneider Barnes

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

3 Citations (Scopus)


The chapter highlights the role of sensors for supporting seamless learning experiences. In the first part, the relation between sensor tracking of learning activities and research around real-time feedback in educational situations is introduced. The authors present an overview of the kinds of sensor data that have been used for educational purposes in the literature. Secondly, the authors introduce the link between sensor data and educational interventions, and especially the role of building expert models from real-world expert tracking. The third part of the paper illustrates how educational AR applications have used sensor data for different forms of learning support. The authors present 15 design patterns that have been implemented in different educational AR applications that build on our analysis of sensor tracking. For future AR applications, the authors propose that the use of sensors for building expert performance models is essential for a variety of educational interventions.

Original languageEnglish
Title of host publicationSeamless learning
Subtitle of host publicationPerspectives, Challenges and Opportunities
EditorsC-K. Looi, L-H. Wong, C. Glahn, S. Cai
Place of PublicationSingapore
Number of pages12
ISBN (Electronic)978-981-13-3071-1
ISBN (Print)978-981-13-3070-4
Publication statusPublished - 2019

Publication series

NameLecture Notes in Educational Technology
ISSN (Print)2196-4963
ISSN (Electronic)2196-4971


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