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January 24, 2016Strategies in Qualitative Research Conference Creating New Histories of Learning for Math and Science Instruction: Using NVivo and Transana to Manage and Study Large Multimedia Datasets.
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What is the Wisconsin Center for Education Research? 37 year old education research center 350 faculty, staff, and students 50 different projects - from single researchers to teams of 15-20 $17.5 million annual budget 89% federally funded research Technical Services – staff of 14
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Growing Importance of Multimedia Data in Research TIMMS-R – over 200 hours of video of math and science classroom practices in each of the 7 participating countries Multiple studies of comparative curriculum redesign – 300-500 hours of video per year across 4-5 years 15,000 hour of video from a nationwide sample of children from birth to middle school to study the long-term impact of childcare
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New Media Tools Emerge From Universities & Research Centers Clan, SALT, Transana, and others from the U.S MediaTagger, Sequence 5, Transcriber, ATLAS.Ti, and C-I-SAID emerge from European research efforts EMU and the QSR tools are developed in Australia
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Free Tools Don’t Scale & Commercial Stuff = $/£/¥/€/Etc. Faced with the enormous sizes of many clinical video collections, standalone analytical tools don’t provide adequate collection management support Commercial digital video management solutions cost between $30k-$150k for a system capable of handling 4-5TB of video Lack of standards inhibits interoperability
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Transana (and Clan) As Prototype Platforms
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Data Management Plays Out As Key Feature in Design
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Alternate Operationalizations
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Exporting of Media Clips Still Done by Hand
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Applying Analytical/Descriptive Coding to Linear Media Video segment as unitary object Interaction depicted by video has multiple phases that have temporal order and length Multiple timelines – along the lines of a video editing tool – may be an answer Small, extracted video segments embedded as data bites is another reasonable approach Using colored shapes drawn on or embedded in media files Multiple transcripts – different methods
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Video Editing Tools Provide Possible Coding Interface Synch’d video Multiple transcripts Management window Use(r) rights
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Features on the Drawing Board - Based on Current Technologies Data cutter integration Clip representation as URLs Export out to free-standing dataset Export to/import from CHATxml format Server-based, phoneme-based text recognition for collection searching (FastTalk & BBN) Visual object recognition and search (Oracle) DRM & linked use models (METS & TalkBank)
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Contact Info Chris Thorn Wisconsin Center for Education Research 1025 W. Johnson St., Room 370 Madison, WI 53706 USA Cthorn@wcer.wisc.edu http://facstaff.wcer.wisc.edu/cthorn http://www.wcer.wisc.edu/digitalinsight
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