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Sensing Learner Access to the Knowledge Spatially Embedded in the World

Authors:
Masaya Okada
Masahiro Tada

Keywords: mobile application; mobile learning; behavior recognition; context-aware service; real-world knowledge

Abstract:
Real-world learning is an important application domain of mobile computing technologies. Real-world learning offers valuable opportunities for encouraging learners to acquire knowledge through experience in the world. Formative assessment by constant monitoring of intellectual achievement is an effective means of providing learners with adaptive support according to their situation. However, it is difficult to measure behavior and knowledge acquired in the real world, and no methodology has yet been developed to allow a formative assessment of learners in a real-world learning field (e.g., the natural environment). In this paper, we demonstrate that knowledge is three-dimensionally embedded in the world, and show a method for estimating how learners access such real-world knowledge. Our technology recognizes characteristic stay behavior and the associated body posture of learners, three-dimensionally estimates the target of their interest, and identifies the learning situation at any given time. As main achievements of our data analyses, we found that real-world knowledge is not only region dependent but also height dependent. We also showed that the learning topic of interest can be identified with wearable sensors (e.g., positioning sensors, 3-axis accelerometers, 3-axis gyroscopes, a barometer). These results are fundamental for realizing adaptive learning support based on systematic formative assessment.

Pages: 27 to 33

Copyright: Copyright (c) IARIA, 2012

Publication date: October 21, 2012

Published in: conference

ISSN: 2308-3468

ISBN: 978-1-61208-229-5

Location: Venice, Italy

Dates: from October 21, 2012 to October 26, 2012