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nStudy: A System for Researching Information Problem Solving

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Abstract

A bottleneck in gathering big data about learning is instrumentation designed to record data about processes students use to learn and information on which those processes operate. The software system nStudy fills this gap. nStudy is an extension to the Chrome web browser plus a server side database for logged trace data plus peripheral modules that analyze trace data and assemble web pages as learning analytics. Students can use nStudy anywhere they connect to the internet. Every event related to creating, modifying, reviewing, linking and organizing information artifacts is logged in fine grain with a time stamp. These data fully trace information students operate on and how they operate on it. Ambient big data about studying gathered au naturel can be tailored by configuring several of nStudy’s features. Thus the system can be used to gather data across a wide range lab studies and field trials designed to test a range of models and theories.

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Acknowledgements

This research was supported by grants from the Social Sciences and Humanities Research Council of Canada.

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Authors and Affiliations

  1. Faculty of Education, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada

    Philip H. Winne & John C. Nesbit

  2. School of Computing Science, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada

    Fred Popowich

Authors
  1. Philip H. Winne
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  2. John C. Nesbit
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  3. Fred Popowich
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Correspondence to Philip H. Winne.

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Winne, P.H., Nesbit, J.C. & Popowich, F. nStudy: A System for Researching Information Problem Solving. Tech Know Learn 22, 369–376 (2017). https://doi.org/10.1007/s10758-017-9327-y

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  • DOI: https://doi.org/10.1007/s10758-017-9327-y

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