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dc.contributor.authorCorbet, Shaenen_NZ
dc.contributor.authorHou, Yang (Greg)en_NZ
dc.contributor.authorHu, Yangen_NZ
dc.contributor.authorLarkin, Charlesen_NZ
dc.contributor.authorLucey, Brianen_NZ
dc.contributor.authorOxley, Lesen_NZ
dc.date.accessioned2023-02-15T01:25:40Z
dc.date.available2023-02-15T01:25:40Z
dc.date.issued2022-03-01en_NZ
dc.identifier.issn1544-6123en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/15544
dc.description.abstractThis chapter presents a new paradigm for sustainable data – driven language learning systems design in higher education that draws on qualitative reflections spanning a decade (2012–2022) with stakeholders from an ongoing global research study with the FLAX (Flexible Language Acquisition) and F-Lingo projects at the University of Waikato in Aotearoa New Zealand (Fitzgerald (2019) A new paradigm for open data-driven language learning systems design in higher education; König et al. (2022)SmartCALL). Design considerations are presented for remixing domain specific open access content into Open Educational Resources (OER) for academic English language provision across formal and non-formal higher education contexts. Primary stake holders in the research collaboration include the following three groups: (1) Knowledge organisations that provide open access to academic content—libraries and archives, including the British Library and the Oxford Text Archive, universities in collaboration with MOOC providers and the CORE (COnnecting REpositories) open access aggregation service at the UK Open University; (2) Researchers who mine and remix academic content into corpora and open data-driven language learning systems—converging from the fields of open education, computer science and applied corpus linguistics; (3) Knowledge users who re-use and remix academic content into OER—English for Academic Purposes (EAP) practitioners from university language centres. Automated content analysis was carried out on a corpus of interview and focus discussion data with the three stakeholder groups in this research. We discuss themes arising from the research data that reflect the different stakeholders’ experiences of remixing open access research content that has been produced within the academy for re-use as open educational content for teaching and learning features of academic language within open data-driven language learning systems. These open learning systems have been specifically designed to scale with OER expansion and traction in mind for their sustainable uptake both within and beyond the brick and mortar of the traditional university. The new paradigm presented in this chapter challenges, as the OER movement must, established business models and deeply embedded cultural or institutional norms that present obstacles to OERexpansion and traction and the sustainability of the movement. One persistent challenge concerns the lack of open education policy across the higher education sector for full open access (for use, modification, adaptation) via Creative Commons licensing to content produced within the academy. Thus, while this research has theoretical and practical implications in applied linguistics, computer science, language teaching and learning and open education, more generally, it also has significant cultural, business model and policy implications for higher education.
dc.description.abstract
dc.format.mimetypeapplication/pdf
dc.language.isoEnglishen_NZ
dc.publisherACADEMIC PRESS INC ELSEVIER SCIENCEen_NZ
dc.rights© 2021 The Authors. Published by Elsevier Inc. This is an open-access article under the CC BY license.
dc.subjectSocial Sciencesen_NZ
dc.subjectBusiness, Financeen_NZ
dc.subjectBusiness & Economicsen_NZ
dc.subjectCOVID-19en_NZ
dc.subjectCoronavirusen_NZ
dc.subjectCryptocurrencyen_NZ
dc.subjectPrice volatilityen_NZ
dc.subjectLiquidityen_NZ
dc.titleCryptocurrency liquidity and volatility interrelationships during the COVID-19 pandemicen_NZ
dc.typeJournal Article
dc.identifier.doi10.1016/j.frl.2021.102137en_NZ
dc.relation.isPartOfFINANCE RESEARCH LETTERSen_NZ
pubs.elements-id261419
pubs.publication-statusPublisheden_NZ
pubs.volume45en_NZ
dc.identifier.eissn1544-6131en_NZ
uow.identifier.article-noARTN 102137


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