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dc.contributor.authorYu, Alexen_NZ
dc.contributor.authorWitten, Ian H.en_NZ
dc.coverage.spatialQueenstown, NZen_NZ
dc.date.accessioned2015-12-06T20:50:55Z
dc.date.available2015en_NZ
dc.date.available2015-12-06T20:50:55Z
dc.date.issued2015en_NZ
dc.identifier.citationYu, A., & Witten, I. H. (2015). Learning English with FLAX apps. In Proc Computing and Information Technology Research and Education in New Zealand Conference (pp. 194–195). Queenstown, NZ: Computing and Information Technology Research and Education New Zealand (CITRENZ).en
dc.identifier.urihttps://hdl.handle.net/10289/9797
dc.description.abstractThe rise of Mobile Assisted Language Learning has brought a new dimension and dynamic into language classes. Game-like language learning apps have become a particularly effective way to promote self-learning outside classroom to young learners. This paper describes a system called FLAX that allows teachers to use their own material to build digital library collections that can then be used to create a variety of web and mobile based language games like Hangman, Scrambled Sentences, Split Sentences, Word Guessing, and Punctuation and Capitalization. These games can be easily downloaded on Android handheld systems such as phones and tablets, and are automatically updated whenever new materials are added by teachers through a web-based interface on the FLAX server
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherComputing and Information Technology Research and Education New Zealand (CITRENZ)
dc.relation.urihttp://www.citrenz.ac.nz/2015-proceedings/
dc.rights© 2015 The Authors
dc.sourceCITRENZ 2015en_NZ
dc.titleLearning English with FLAX appsen_NZ
dc.typeConference Contribution
dc.relation.isPartOfProc Computing and Information Technology Research and Education in New Zealand Conferenceen_NZ
pubs.begin-page194
pubs.elements-id134024
pubs.end-page195
pubs.finish-date2015-10-09en_NZ
pubs.organisational-group/Waikato
pubs.organisational-group/Waikato/FCMS
pubs.organisational-group/Waikato/FCMS/Computer Science
pubs.organisational-group/Waikato/FCMS/Computer Science/ML Group
pubs.start-date2015-10-06en_NZ


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