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ZENODO
Dataset . 2019
Data sources: Datacite
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Dataset . 2019
Data sources: ZENODO
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ZENODO
Dataset . 2019
Data sources: Datacite
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weDraw Movement Corpus

Authors: Bianchi-Berthouze, Nadia; Volpe, Gualtiero;

weDraw Movement Corpus

Abstract

Summary The weDraw Movement Corpus consists of three datasets: the weDraw-1 Movement Dataset (w1MD), the VI-weDraw Movement Dataset (VIwMD), and the weDraw-Games Movement Dataset (wGMD). The w1MD and VIwMD datasets were collected from children (with visual impairment, for the VIwMD dataset) based on game-like (i.e. fun) activities inspired by qualitative pedagogical studies. The wGMD dataset was based on weDraw serious games (Cartesian Garden, Angles Shapes and Fraction Musical Games) in both schools for children with visual impairment and mainstream schools. The three datasets were built using video cameras, a Microsoft Kinect sensor, and the Notch wearable sensors. However, only the motion capture data from these sensors (and not raw videos) are open. Please see the corpus README for more details. How To Cite and Where to Get More Details Please cite the following papers in all publications that result from use of the weDraw-1 Movement Dataset: Olugbade, T. A., Newbold, J., Johnson, R., Volta, E., Alborno, P., Dillon, M., Volpe, G., Bianchi-Berthouze, N. Automatic Detection of Reflective Thinking in Mathematical Problem Solving based on Unconstrained Bodily Exploration, https://arxiv.org/abs/1812.07941. More details about the weDraw-1 Movement Dataset can also be found there.

Related Organizations
Keywords

education, learning, serious games, children, mathematics, motion capture, reflective thinking, movement, body, confidence, maths

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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