Cmc Sig Leon Workshop Mh Rh 200409

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    Cmc Sig Leon Workshop Mh Rh 200409 - Presentation Transcript

    1. Computer-mediated exchanges in language learning: what can be researched and how can we go about it? Mirjam Hauck, Regine Hampel Department of Languages The Open University/UK Eurocall CMC SIG, León, 23–25 April 2009
    2. Outline
      • Part 1: What is the focus of your research?
      • Part 2: Researchable text and multimodal data
      • Part 3: Tools for recording, transcription and analysis
      • Part 4: Approaches to transcription
      • Challenges!
    3. Part 1: What is the focus of your research?
    4. Areas of research (e.g. using DA/CA, Lamy & Hampel 2007)
      • Researching learner language
      • Grammatical accuracy
      • Pragmatic functions and syntactic complexity
      • Analysis of discourse (among chat participants)
      • Individual differences in working memory and oral proficiency
      • Researching communication
      • Communication strategies to fill comprehension gaps
      • Patterns in native–non native chat
      • Learner engagement with native speakers
      • Researching intercultural issues
      • Intercultural competence
      • Politeness and style shifting in different cultures
      • Researching affordances
      • Techno-literacy, impact of the medium on ways that learners interact
      • Researching pedagogy
      • Teacher training and teachers’ cultures
      • Critical pedagogy (power and equality in learning online)
    5. Part 2: Researchable text and multimodal data
    6. What is multimodal data (in the context of CMC)?
      • it is complex and diverse
      • requires tools for description and analysis that can accommodate this complexity
    7. FlashMeeting
    8. Elluminate
    9. Our understanding of text
      • “ We want to insist from the beginning that the semiotic instances in which we are interested – the texts – include the everyday practices of ‘ordinary’ humans as much as the articulations of discourses in more conventionally text-like objects such as magazines, TV programmes, and so on. We will refer to these [as] ‘practically lived texts’ ”
      • (Kress and Van Leeuven’s (2001: 24)
    10. In digital media…
      • text = writing + still/moving images + space + (often) sound
    11. Body and meaning
      • the ways in which we
      • direct our gaze
      • use facial expressions, gesture, move, stand
      • manipulate objects
      • are part of how we communicate
      • we experience events as ‘multimodal scenes’
      • (Gray 2004)
    12. Part 3: Tools for recording, transcription and analysis
    13. The role of technology
      • now we are able
      • to record audio and visual data (e.g. using Camtasia)
      • to transcribe them (e.g. using Transana)
      • and to store and analyse them (e.g. using CAQDAS)
    14. Camtasia
    15. FlashMeeting data log
    16. CAQDAS
      • Computer Assisted Qualitative Data Analysis Software (CAQDAS) packages (e.g. AtlasTi or NVivo) offer systematic frameworks for:
        • organisation, coding, searching and retrieval of data
        • creation of visual analytic networks
        • building portfolios of linked multi-media data clips accessible in just one or two clicks
        • -> managing multi-media data sets
        • -> allowing for new forms of transcription
      • but: they don’t interpret the data!
    17. Part 4: Various approaches to transcription
    18. What is multimodal transcription?
      • “ multimodal transcriptions are ultimately based on the assumption that a transcription will help us understand the relationship between a specific instance of a genre […] and the genre’s typical features” (Baldry and Thibault 2006: 30)
      • transcription = reduced version of observed reality
      • “ transcription is theory: the mode of data presentation not only reflects subjectively established research aims, but also inevitably directs research findings ” (Ochs 1979)
    19. Transcription example (Hampel and Hauck 2006)
    20. The dilemma of traditional approaches to transcription
      • traditional approach to spoken interaction:
        • transcribing spoken verbal language
        • timings
        • pauses
        • overlapping and contiguous utterances
      • written and spoken language is still predominant in transcription
      • how can the following be transcribed?
        • objects (at the centre of/peripheral to the interaction
        • spacial relationships
        • temporal organisation
    21. Transcription example (Satar in preparation)
    22. Transcription example (Goodwin 2007)
    23. Transcription example (Norris 2006)
    24. What is transcribed?
      • con text has gradually gained ground:
      • posture
      • gesture
      • head movement
      • gaze
      • music
      • print and layout
      • “ multimodal texts are composite products of the combined effects of all the resources used to create and interpret them”
      • (Baldry and Thibault 2006: 18)
    25. Challenges of new approaches
      • how micro is useful? Is macro analysis more productive? Zooming ‘in’ versus ‘panning out’
      • representation of simultaneous events in a linear medium (e.g. in an article)
      • paradox: difficulties of ‘reading’ multimodal transcription could outweigh advantages of descriptive ‘purity’
      • media chosen should not become the research method
      • software and technological expertise needed
    26. THANK YOU!
        • Flewitt, R., Hampel, R., Hauck, M. and Lancaster, L.
        • What are multimodal data and transcription?
        • In: Jewitt, C. (ed.) The Routledge Handbook of Multimodal Analysis (July 2009)
        • [email_address]
        • [email_address]
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