1. Phone CALLIncidental Language Learning with Mobile TechnologiesMike Sharples with Tony Fisher, Richard Pemberton, Tommy Sweeney University of Nottingham Hiroaki Ogata, Noriko Uosaki University of Tokushima Phil Edmonds, Anthony Hull, Patrick Tschorn Sharp Labs, Europe
3. ...but important ¼ of the population of China is learning English (300 million people) In the next 5 years all Chinese schools will teach English in kindergarten All state employees younger than 40 will be required to master 1,000 English phrases “ Numerous obstacles stand in the way of China’s quest, including a shortage of good English teachers and the country’s test-oriented education system” 1 billion people in China use mobile phones (67% of the population) of which 100 million are smartphones Indianapolis Business Journal, “Report from China”, March 2011
4. How can we design language learning for a smartphone that is engaging and effective?
5. Initial vocabulary and grammar Direct instruction In a context Creating a context Context Fluency Social interaction Vocabulary acquisition Incidental learning
6. Initial vocabulary and grammar Direct instruction BBC Janala in Bangladesh English teaching on mobile phones Dial 3000 to access three minute audio lessons Content linked to youth TV show and news Over 3.5 million calls Context
7. Initial vocabulary and grammar Direct instruction Learn vocabulary in context Rehearse Use vocabulary to create new contexts Share the contextualised vocabulary Context Vocabulary acquisition Incidental learning
8. Research project by the Learning Sciences Research Institute in association with the University of Tokushima andSharp Laboratories of Europe
9. Incidental second language learning Self-directed learning of vocabulary in the context of reading from books Fits into gaps in everyday life Adaptive tutoring Motivating: e-book & e-game E-book Read story for vocabulary E-game Practise sentence construction Selected words Personal vocabulary Rehearse vocabulary list Game words Missing words
10.
11.
12. Elmo Mark 2 for smartphones Smartphones: Sharp WS004SH (3.7 inch colour TFT screen, 480x640 resolution) and Sharp WS007SH (2.8 inch colour TFT screen, 480x640 resolution).
13. Research question Are there differences in the learning of English vocabulary through reading novels, depending on the mode of mobile interaction?
14. Three modes of interaction Paper book e-book reader with English dictionary ‘ELMO’: e-book reader with enhanced software, including adaptive user modelling and additional interactivity Paper book E-book Elmo adaptive system
15. Participants Class of 39 students (24 female, 15 male) aged 15-17 at a Japanese high school Class divided on the basis of a pre-test into 3 comparison groups balanced in terms of English vocabulary and gender, enabling a crossover design to be employed for the study
16. Crossover design Survey and focus groups Post-test three Base-line test Post-test two Post-test one
17. Conduct of the study Pre-test: test of specific vocabulary from the three novels Two weeks to read a novel – students could decide how much, when and where Discussion of novel allowed, but no swapping Help-sheet and local advice in case of a problem with a device No school implications of results Post-test: the same words as in pre-test (scored out of 30)
18. Results for adaptive handheld learning device 9.5 9 8.5 8 7.5 7 6.5 6 5.5 5 Pre Post Vocabulary score
19. 9.5 9 8.5 8 Adaptive 7.5 7 Book 6.5 6 5.5 5 Pre Post Vocabulary score Comparison with paper book
20. 9.5 9 8.5 8 Adaptive 7.5 Ebook 7 Book 6.5 6 5.5 5 Pre Post Comparison with e-book Vocabulary score
22. Interview data “Made my eyes tired, so I recommend ‘paper book’” “It is good to write down whatever I want on ‘paper book’” “I do not want to bring another device with me other than my mobile phone to read novels” “Many say that if a small and light device with a satisfactory English-Japanese dictionary, smooth scrolling, less charging is possible, then Adaptive Device would be best” (Teacher)
23. Conclusions The study was carefully set up and rigorously conducted It didn’t show any particular technology to be effective in enhancing incidental learning of English vocabulary
24. Conclusions The study was carefully set up and rigorously conducted It didn’t show effectiveness of any particular technology to enhance incidental learning of English vocabulary But... Sharp Labs Europe is developing a new version of Elmo with an attractive interface, pictorial e-book and vocabulary games
25. Elmo Mk3 for Android devices Product launch in Autumn 2011 (NB – these are screenshots from an early prototype version, not the market product)
26. Initial vocabulary and grammar Direct instruction Context Fluency Social interaction Vocabulary acquisition Incidental learning Research prototypes for contextual vocabulary acquisition and fluency
27. MiLexicon – Joshua UnderwoodPhD, Institute of Education, London https://sites.google.com/site/joshunderwood/milexicon
30. Initial vocabulary and grammar Direct instruction Creating a context In a context Context Fluency Social interaction Vocabulary acquisition Incidental learning
Notas do Editor
miLexicon is about making connections between words and experiences.I looked at accounts of successful experience-based vocabularylearning and found that learners made various kinds of connection:- connecting experiences of new language in context with opportunitiesfor investigation into form, meaning & use, and practice.- connecting spoken and written forms or vice-versa- connecting first language concepts and second language concepts- connecting experiences across episodes and settings- connecting representations across various media (e.g. Facebook,twitter, SMS, an information sign, a conversation, a paperback).miLexicon is Android phone software that aims to prompt and supportlearners in making these connections. It provides a multimediavocabulary notebook with tightly integrated direct access to socialand technological resources. These resources are customisable. Ongoingparticipatory design suggests that current versions of miLexicon doprompt collection and investigation of new vocabulary. However, thesoftware could and should do more to support self-regulation. Forexample: by using spoken notifications to prompt spaced recall andremind learners to look up and practise the words and phrases theycollect, by challenging users with an interest related new 'word aday' or similar, by offering practice tests or games using thecollected vocabulary.