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Evaluating the efficacy of the digital commons for scaling data-driven learning


Evaluating the efficacy of the digital commons for scaling data-driven learning

Fitzgerald, Alannah ORCID: https://orcid.org/0000-0003-0392-2740, Marin, Maria Jose, Wu, Shaoqun and Witten, Ian (2017) Evaluating the efficacy of the digital commons for scaling data-driven learning. In: Digital Language Learning and Teaching: Research, Theory and Practice. Global Research on Teaching and Learning English Series. . Routledge, Taylor & Francis., pp. 38-51. ISBN 1138696803

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This chapter presents the open-source FLAX project (Flexible Language Acquisition, flax.nzdl.org), an automated digital library scheme, which has developed and tested an extraction method that identifies typical lexico-grammatical features of any word or phrase in a corpus for data-driven learning. Here in this study, FLAX will be described and discussed in relation to the reuse of openly licensed content available in the digital commons. Typically, the digital commons involves the creation and distribution of informational resources and technologies that have been designed to stay in the digital commons using various open licenses, including the GNU Public License and the Creative Commons suite of licenses (Wikipedia, 2016; see also the chapter by Stranger-Johannessen, this volume). One of the most widely used informational resources developed by and for the digital commons is Wikipedia. In response to the growing digital commons, we will provide insights into design considerations for the reuse of transcribed video lectures from Massive Open Online Courses (MOOCs) that have been licensed with Creative Commons as Open Educational Resources (OERs). We will demonstrate how OERs can be remixed with open corpora and tools in the FLAX system to support English for Specific Academic Purposes (ESAP) in classroom-based language education contexts.

Divisions:Concordia University > Faculty of Arts and Science > Education
Item Type:Book Section
Authors:Fitzgerald, Alannah and Marin, Maria Jose and Wu, Shaoqun and Witten, Ian
Series Name:Global Research on Teaching and Learning English Series.
Date:16 February 2017
  • FLAX Language Project flax.nzdl.org
  • The International Research Foundation (TIRF) for English Language Education, USA
ID Code:982728
Deposited On:09 Aug 2017 13:06
Last Modified:18 Jan 2018 17:55
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