Bill Ion and Lou McGill

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The DIDET projecttools and technologies

• Bill Ion and Lou McGill
• University of Strathclyde

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Project Vision

• To enhance student learning opportunities by
  enabling them to participate in global team based
  design engineering projects, in which they
  directly experience different cultural contexts
  and access a variety of digital information
  sources via a range of appropriate technology

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Nature of Design Engineering

• Project based
• learn by doing
• Open-ended and creative
• no right answer
• no pre-defined information set
• Source, create and reuse information
• Wide range of resources involved
• not just engineering

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University of StrathclydeLau Lima

• Learning environment and digital repository
• based on TikiWiki (v 1.82) an open source
  online portal, database tool and groupware
  product
• Document Management - Wiki pages (linked web
  pages), file galleries, image galleries, web link
  galleries
• Communication Tools - chat, forums, email, shout
  box
• MyTiki personal Area - check email, newsgroups,
  keep notes, task list, own files, settings

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Lau Limakey issues

• Content
• Student content within learning environment used
  for group collaboration (point of need)
• Evaluated content uploaded to longer term
  repository (re-use by staff and students)
• Metadata
• First level metadata applied automatically -
  creator, date, etc.
• Second level metadata applied by students
  filename, keywords, description
• Third level metadata applied by
  academic/librarian additional

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Lau Limatechnical developments

• Permissions
• control over who can create, read, edit, move and
  delete individual and team content
• Authentication
• students can now login with University usernames
  and passwords
• Integration of learning environment and digital
  repository databases (point of need and re-use)
• Hierarchical file organisation and display

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Lau Limafuture developments

• Visual display of relationships between content
• Content clustering
• Full text searching capacity (graphics?)
• Global team work across institutions
• Team work with industrial partners
• Integration with Web CT

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University of Stanfordinformedia digital video
library

• Video offers a targeted intervention that could
  improve the transfer of high context information
  across the years
• Informedia combines speech, image and natural
  language understanding to automatically
  transcribe, segment and index linear video for
  intelligent search and image retrieval.

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Informedia Interface
3. Video audio
1. Search criteria entry
4. Timeline markers
2. Video clip results
5. Automated speech to text transcription
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Re-using Audiovisual Data

• Index the data through the transcribed audio
  information in Informedia
• Automatically generated transcript
• Manually created transcript
• Manually annotate/tag the data in Informedia
• Voice-over video data
• Record new audio channel (expert coach
  commentary)
• Use keywords in commentary that lend themselves
  to searching
• index audiovisual data via Informedia
• Experiment with different configurations for
  storing and browsing Audiovisual Data
• hierarchical structure

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Project team

• University of Stanford
• Centre for Design Research
• Larry Leifer, Ade Mabogunje, Ozgur Eris
• University of Strathclyde
• DMEM
• Prof Neal Juster, Bill Ion, Andrew Wodehouse
• Centre for Academic Practice
• Dr David Nicol, Dr Allison Littlejohn, Hillary
  Grierson
• Learning Services
• Lou McGill
• Centre for Digital Library Research
• George MacGregor

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Further information

• www.dmem.strath.ac.uk/didet
• Bill Ion w.j.ion_at_strath.ac.uk
• Lou McGill louise.k.mcgill_at_strath.ac.uk