flexible, free and open data-driven learning for the masses
TRANSCRIPT
Flexible, Free and Open Data-Driven Learning for the Masses
Alannah Fitzgeraldhttp://maxpixel.freegreatpicture.com/photo-1742679
MINING & LINKING OPEN CONTENT FOR DATA DRIVEN LEARNING
FLAX Language Digital Library Project, University of Waikato, NZ
Data-Driven Learning
The metaphor that Johns evoked was one where language is treated as empirical data and “every student is a Sherlock Holmes”, investigating the uses of linguistic data directly to assist with language acquisition (Johns, 2002, p. 108).
flax.nzdl.org Powerful yet simple interfaces for Data-Driven Learning
The eBook of FLAX
“FLAX (Flexible Language Acquisition) is both a vision and a tool that you can use for language learning. The Web contains innumerable language activities, quizzes, and games, but they are fixed: the activities are cast in stone and the material is chosen by others. Our vision is to put the control back where it belongs, in the hands of teachers and learners.”
WHO ARE WE IN THIS FLAX RESEARCH & DEVELOPMENT COLLABORATION?
FLAX Language at Waikato University
http://flax.nzdl.org FLAX image by permission of non-commercial reuse by Jane Galloway
FLAX Language Project at the Greenstone Digital Library Lab, Waikato University NZ
Professor Ian WittenFLAX Project Lead
Dr Shaoqun WuFLAX Project Lead Researcher & Developer
Research on Open FLAX Collections
http://oerresearchhub.org/
Alannah FitzgeraldOpen Fellow with OERRHFLAX Language & OpenEducation Researcher
OPEN SOURCE LANGUAGE TOOLS DEVELOPMENT
FLAX Digital Library
Collections
Collocations database
Glossary
Open Educational Resources
Contemporary English(Wikipedia)
Google-esque Interface Designs
Designed for the non-expert corpus user, namely:
learners, teachers, subject academics, instructional designers and language resource developers.
http://flax.nzdl.org/greenstone3/flax?a=fp&sa=collAbout&c=collocations&if=flax
Link to the Collocation Learning System with the Wikipedia Corpus in FLAX
(Wu, Li, Witten & Yu, 2016)
http://flax.nzdl.org/greenstone3/flax?a=g&rt=r&sa=CollocationQuery&s=CollocationQuery&s1.title=&c=collocations&s1.threshold=0.5&s1.startNum=0&s1.perPage=20&s1.sampleNum=10&s1.type=&s1.wordType=&s1.colloType=&s1.query=role&s1.dbName=Wikipedia
Introducing the Wikipedia Miner Toolkit (Milne & Witten, 2013)
Building Interactivity into FLAX Language Collections
FLAX Activities Continued
FLAX TEAM Apps for Android via GooglePlay
http://commons.wikimedia.org/wiki/File:Android_robot_skateboarding.svg /
http://commons.wikimedia.org/wiki/File:Google_Play_Store.svg
FLAX Team on Google Play
https://play.google.com/store/apps/developer?id=FLAX+TEAM&hl=en
FLAX Across Platforms• FLAX Website flax.nzdl.org for hosting open online language
collections• Building directly onto the Web with OER
• FLAX multilingual open-source software for download• Set up your own FLAX server online or;• Build collections offline for use on your PC
• FLAX Android app for download• Interact with game-based FLAX collections while on the go
• FLAX for MOODLE plug-in for download• FLAX for MOOC Platforms?• FLAX in conjunction with translation technologies?
DOMAIN-SPECIFIC OPEN LANGUAGE COLLECTIONS BUILDING
The eBook of FLAX “FLAX enables teachers to build bespoke libraries very easily. It is built upon powerful digital library technology, and provides access to vast linguistic resources containing countless examples of actual, authentic, usage in contemporary text. But teachers can also build collections using their own material, focusing on language learning in a particular domain (e.g., business, law) or motivating students by using text from a particular context (e.g., country or region, common interests).”
RESEARCH INTO MOOC LINGUISTIC SUPPORT
FLAX Academic English Collections
http://flax.nzdl.org/greenstone3/flax?a=fp&sa=library
MOOC Research Participants
• CopyrightX (Harvard University – formerly an edX MOOC, now a networked course)
• ContractsX (Harvard University with edX)• English Common Law (University of London
with Coursera)
Role and courses taken by respondents 2014-2016
Age bands of respondents
Educational background of respondents
Languages spoken by MOOC learners
• English (95.71%), followed by increasingly smaller numbers of participants who identified as being able to speak fluent:
• Spanish (16.56%), French (12.88%), German (8.59%), Italian (7.98%), Catalan (3.0%), Chinese, Finnish, Gujarati, Swahili (1.84%), French Creole, Hindi, Japanese, Korean, Luo, Norwegian, Portuguese, Russian, Serbian (1.23%), Arabic, Georgian, Slovak, Thai, Turkish, Ukrainian, Urdu, Vietnamese (0.61%).
“When you want to find out how to express something in English what resource(s) do you use? You can select more than one.”
Language Resources Informal learners (N=163) CopyrightX teachers (N=11)
Paper-based dictionaries 18.40% 18.18%
Online dictionaries 76.07% 100.00%Online reference resources (e.g. Wikipedia) 52.15% 81.82%Search engines (e.g. Google, using inverted commas "" and asterisks * to search for keywords/phrases for language use) 57.67% 100.00%Corpora / searchable web-based language collections (e.g. FLAX, WebCorp) 7.98% 0.00%
Grammar books 11.66% 9.09%
Language course books 1.84% 9.09%
Ask someone 31.90% 27.27%
Need nothing 2.45% 0.00%
Keyword search for creative in CopyrightX collection
Wikify function in the CopyrightX MOOC collection
Preview of some of the top 100 collocations in the CopyrightX collection displaying summary judgment
Learner motivations for using FLAX and other language support resources
FLAX user experience for learners
Learner feedback on the searchability of the FLAX ContractsX MOOC collection
Learner feedback on the collocations and Cherry Basket features in the English Common Law
MOOC collection
Negative features of FLAX according to respondents
Positive features of FLAX according to respondents
Extra comments on FLAX from respondents
RESEARCH INTO THE REUSE OF MOOC LINGUISTIC CONTENT
Fitzgerald, A., Marin. M.J., Wu, S. & Witten, I.H. (2017). Evaluating the Efficacy of the Digital Commons for Scaling Data-Driven Learning. In M. Carrier, R. M. Damerow, & K. M. Bailey (Eds.), Digital Language Learning and Teaching: Research, Theory, and Practice (pp. 38 – 51). New York, NY: Routledge & TIRF.
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). One of the most widely used informational resources developed by and for the digital commons is Wikipedia.
Data Collection Procedure
• 52 students in the fourth year of the Translation Degree program at the University of Murcia (Spain) were selected as informants.
• All the students’ linguistic competence level complied with the Common European Framework of Reference for Languages requirements for the B2 level.
Experimental & Control Groups
• The experimental group (16 informants organized into four sub-groups) were requested to only consult the FLAX English Common Law MOOC collection as the single source of information to draft their essays.
• The remaining 36 students (divided into nine different sub-groups) would act as the control group, following the traditional method for the design and drafting of essays before this experiment was carried out, that is, using any information source available.
Term Average in each corpus
FLAX Corpus Non-FLAX Corpus
Terms Identified by Themostat (A) (Drouin, 2003)
226 385
Corpus Size After Reduction
16,939 16,264
Number of Topics (B) 4 9
Term Average (A/B) 56.5 42.77
Standardized type/token ratio
35.3 38.63
Findings from Reuse Study
• According to the data, the members of the experimental group appear to have acquired the specialized terminology of the area better than those in the control group, as attested by the higher term average obtained by the texts in the FLAX-based corpus (56.5) as opposed to the non-FLAX-based text collection, at 13.73 points below
• However, the standardized type/token ratio assigned to each set of texts, which is often indicative of the richness of the vocabulary (the higher, the richer), is lower for the FLAX-based texts, standing at 3 points below the texts written by the control group
References• Biber, D., Conrad, S., & Cortes, V. (2004). If you look at . . .: lexical bundles in
university teaching and textbooks. Applied Linguistics, 25, 371–405. Biber, D. (2006). University Language, A corpus-based study of spoken and written registers. John Benjamins, Amsterdam.
• Biber, D., Barbieri F. (2007). Lexical bundles in university spoken and written registers. English for Specific Purpose, 26, 263–286.
• Fitzgerald, A., Marin. M.J., Wu, S. & Witten, I.H. (2017). Evaluating the Efficacy of the Digital Commons for Scaling Data-Driven Learning. In M. Carrier, R. M. Damerow, & K. M. Bailey (Eds.), Digital Language Learning and Teaching: Research, Theory, and Practice (pp. 38 – 51). New York, NY: Routledge & TIRF.
• Johns, T. (2002). Data-driven learning: the perpetual challenge. In B. Kettemann & G. Marko (Eds.), Teaching and Learning by Doing Corpus Analysis. Proceedings of the Fourth International Conference on Teaching and Language Corpora, Graz 19-24 July, 2000, (pp. 107-117). Amsterdam: Rodopi.
• Milne, D. & Witten, I.H. (2013). An open-source toolkit for mining Wikipedia. Artificial Intelligence, 194, 222-239.
• Wu, S., Li, L., Witten, I.H., Yu, A. (2016). Constructing a Collocation Learning System from the Wikipedia Corpus. International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 6, issue 3, pp. 18-35
Thank YouSpecial Thanks:
Ruth Crymes TESOL Fellowship for Graduate StudyThe International Research Foundation (TIRF) for English Language Education
FLAX Language Project & Software Downloads: http://flax.nzdl.org/ FLAX Language Project Research:
https://www.researchgate.net/project/FLAX-Flexible-Language-Acquisition-flaxnzdlorg The How-to eBook of FLAX: http://flax-doc.nzdl.org/BOOK_OF_FLAX/BookofFLAX%20fullsize%20with%
20links.pdfFLAX Game-based Apps for Android via Google Play Store (free):
https://play.google.com/store/apps/developer?id=FLAX%20TEAM&hl=en
Ian Witten (FLAX Project Lead): [email protected] Wu (FLAX Research and Development): [email protected]
Alannah Fitzgerald (FLAX Open Language Research): [email protected]
TOETOE Technology for Open English Blog: www.alannahfitzgerald.org Slideshare: http://www.slideshare.net/AlannahOpenEd/
Twitter: @AlannahFitz