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Erschienen in:
The “Grey Area”: A Computational Approach to Model the Zone of Proximal Development Kapitel lesen Erstes Kapitel lesen

2017 | Supplement | Buchkapitel

Affordances for Capturing and Re-enacting Expert Performance with Wearables

verfasst von : Will Guest, Fridolin Wild, Alla Vovk, Mikhail Fominykh, Bibeg Limbu, Roland Klemke, Puneet Sharma, Jaakko Karjalainen, Carl Smith, Jazz Rasool, Soyeb Aswat, Kaj Helin, Daniele Di Mitri, Jan Schneider

Erschienen in: Data Driven Approaches in Digital Education

Verlag: Springer International Publishing

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Abstract

The WEKIT.one prototype is a platform for immersive procedural training with wearable sensors and Augmented Reality. Focusing on capture and re-enactment of human expertise, this work looks at the unique affordances of suitable hard- and software technologies. The practical challenges of interpreting expertise, using suitable sensors for its capture and specifying the means to describe and display to the novice are of central significance here. We link affordances with hardware devices, discussing their alternatives, including Microsoft Hololens, Thalmic Labs MYO, Alex Posture sensor, MyndPlay EEG headband, and a heart rate sensor. Following the selection of sensors, we describe integration and communication requirements for the prototype. We close with thoughts on the wider possibilities for implementation and next steps.

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Vorheriges Kapitel “We’re Seeking Relevance”: Qualitative Perspectives on the Impact of Learning Analytics on Teaching and Learning
Nächstes Kapitel An Ontology for Describing Scenarios of Multi-players Learning Games: Toward an Automatic Detection of Group Interactions
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Metadaten
Titel
Affordances for Capturing and Re-enacting Expert Performance with Wearables
verfasst von
Will Guest
Fridolin Wild
Alla Vovk
Mikhail Fominykh
Bibeg Limbu
Roland Klemke
Puneet Sharma
Jaakko Karjalainen
Carl Smith
Jazz Rasool
Soyeb Aswat
Kaj Helin
Daniele Di Mitri
Jan Schneider
Copyright-Jahr
2017
Buch
Data Driven Approaches in Digital Education

Print ISBN: 978-3-319-66609-9

Electronic ISBN: 978-3-319-66610-5

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-66610-5_34