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ERIC Number: EJ1154081
Record Type: Journal
Publication Date: 2017-Oct
Pages: 8
Abstractor: As Provided
ISSN: ISSN-2211-1662
nStudy: A System for Researching Information Problem Solving
Winne, Philip H.; Nesbit, John C.; Popowich, Fred
Technology, Knowledge and Learning, v22 n3 p369-376 Oct 2017
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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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A