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Future Internet 2013, 5(1), 95-112; doi:10.3390/fi5010095
Article

Supporting Learning with Wireless Sensor Data

1,*  and 2
Received: 30 January 2013; in revised form: 1 March 2013 / Accepted: 12 March 2013 / Published: 19 March 2013
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Abstract: In this article, learning is studied in in situ applications that involve sensors. The main questions are how to conceptualize experiential learning involving sensors and what kinds of learning applications using sensors already exist or could be designed. It is claimed that experiential learning, context information and sensor data supports twenty first century learning. The concepts of context, technology-mediated experiences, shared felt experiences and experiential learning theory will be used to describe a framework for sensor-based mobile learning environments. Several scenarios and case examples using sensors and sensor data will be presented, and they will be analyzed using the framework. Finally, the article contributes to the discussion concerning the role of technology-mediated learning experiences and collective sensor data in developing twenty first century learning by characterizing what kinds of skills and competences are supported in learning situations that involve sensors.
Keywords: sensor; network; mobile; learning; GPS; location; accelerometer; gaming; games; experience; context sensor; network; mobile; learning; GPS; location; accelerometer; gaming; games; experience; context
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Multisilta, J.; Perttula, A. Supporting Learning with Wireless Sensor Data. Future Internet 2013, 5, 95-112.

AMA Style

Multisilta J, Perttula A. Supporting Learning with Wireless Sensor Data. Future Internet. 2013; 5(1):95-112.

Chicago/Turabian Style

Multisilta, Jari; Perttula, Arttu. 2013. "Supporting Learning with Wireless Sensor Data." Future Internet 5, no. 1: 95-112.

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