Opportunities for AI in Intelligent Web-based Technology-Supported Learning
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Talk I gave at WISM’09-AICI'09 (2009 International Conference on Web Information Systems and Mining and the 2009 International Conference on Artificial Intelligence and Computational Intelligence) ...

Talk I gave at WISM’09-AICI'09 (2009 International Conference on Web Information Systems and Mining and the 2009 International Conference on Artificial Intelligence and Computational Intelligence) where I describe research opportunities offered by today's Web 2.0 and Semantic Web.

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Opportunities for AI in Intelligent Web-based Technology-Supported Learning Presentation Transcript

  • 1. Opportunities for AI in Intelligent Web-based Technology-Supported Learning Carsten Ullrich Jian Wang Ruimin Shen Frank Quosdorf
  • 2. Today’s Web: enormous potential for AI in technology supported learning.
  • 3. Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited
  • 4. Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited This talk: Trends
  • 5. Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited This talk: Trends Example
  • 6. Trends: Architecture of Assembly
  • 7. APIs
  • 8.  
  • 9.  
  • 10. Your own system
  • 11. RSS
  • 12. New Articles
  • 13. New Data
  • 14. Mash-ups Yahoo! Pipes http://www.flickr.com/photos/seeminglee/1950911618/
  • 15. Widgets
  • 16. Personal Learning Environments http://role-project.eu
  • 17.  
  • 18. Architecture of Assembly makes it easier to build complex services
  • 19. Architecture of Assembly adds to Web of documents a layer of reusable services
  • 20. Opportunities: -access to huge amounts of data useful for learning process; -analyze user generated content, e.g., to make estimations about their knowledge/competencies; -finding/combining services and combining to train specific skills.
  • 21. Trend: User-Centered Web
  • 22. Trend: User-Centered Web focuses on the individual using these documents and services
  • 23. Network of documents Network of people
  • 24. Live Streams Facebook Friendfeed
  • 25. Today: Silos
  • 26. OpenID: decentralized single-sign-on mechanism OAUTH: information exchange between services OpenSocial: APIs for common functionality for social applications
  • 27. Information about user: Attention Profiling Markup Language (APML) Location data: Google Gears, Firefox
  • 28. Amazing amounts of data about user available Opportunity: use this data for personalization
  • 29. Trend: Semantics
  • 30. Access to data no longer problem
  • 31. Access to data no longer problem Problematic: Find specific relevant piece of information
  • 32. Access to data no longer problem Problematic: Find specific relevant piece of information Combine data
  • 33. Semantic Web
  • 34. Linked Open Data Initiative Datasets include Wikipedia, DBLP, RKB Explorer, CIA World Fact Book, OpenCyc, …
  • 35.  
  • 36.  
  • 37.  
  • 38. How to Get Semantics?
  • 39. Entity Extraction
    • The term "Web 2.0" is used to describe applications that distinguish themselves from previous generations of software by a number of principles. Existing work shows that Web 2.0 applications can be successfully exploited for technology-enhanced learning. However, in-depth analyses of the relationship between Web 2.0 technology on the one hand and teaching and learning on the other hand are still rare.
  • 40. Entity Extraction
    • Gur grez "Jro 2.0" vf hfrq gb qrfpevor nccyvpngvbaf gung qvfgvathvfu gurzfryirf sebz cerivbhf trarengvbaf bs fbsgjner ol n ahzore bs cevapvcyrf. Rkvfgvat jbex fubjf gung Jro 2.0 nccyvpngvbaf pna or fhpprffshyyl rkcybvgrq sbe grpuabybtl-raunaprq yrneavat. Ubjrire, va-qrcgu nanylfrf bs gur eryngvbafuvc orgjrra Jro 2.0 grpuabybtl ba gur bar unaq naq grnpuvat naq yrneavat ba gur bgure unaq ner fgvyy ener.
    This is what it looks like to the machine!
  • 41. Entity Extraction
    • Gur grez " Jro 2.0 " vf hfrq gb qrfpevor nccyvpngvbaf gung qvfgvathvfu gurzfryirf sebz cerivbhf trarengvbaf bs fbsgjner ol n ahzore bs cevapvcyrf. Rkvfgvat jbex fubjf gung Jro 2.0 nccyvpngvbaf pna or fhpprffshyyl rkcybvgrq sbe grpuabybtl-raunaprq yrneavat . Ubjrire, va-qrcgu nanylfrf bs gur eryngvbafuvc orgjrra Jro 2.0 grpuabybtl ba gur bar unaq naq grnpuvat naq yrneavat ba gur bgure unaq ner fgvyy ener.
    OpenCalais
    • Jro 2.0
    • grpuabybtl-raunaprq yrneavat
  • 42. Entity Extraction
    • The term "Web 2.0" is used to describe applications that distinguish themselves from previous generations of software by a number of principles. Existing work shows that Web 2.0 applications can be successfully exploited for technology-enhanced learning. However, in-depth analyses of the relationship between Web 2.0 technology on the one hand and teaching and learning on the other hand are still rare.
    OpenCalais
    • Web 2.0
    • technology-supported learning
  • 43. Opportunities: - Semantic Content and Semantics for free enable amazing possibilities: improved quality of service, better categorization, recommendation, automatic linking with other resources, etc.
  • 44. Example: Totuba Toolkit
  • 45. - research workbench - bibliography manager - research network - support while writing research papers
  • 46.
    • context-sensitive further reading
    • related topics
    • drag&drop referencing
  • 47. Semantifying
    • The term "Web 2.0“...
    OpenCalais
    • Web 2.0
    • technology-supported learning
    DBPedia (others: Yago, Freebase, UMBEL)
    • http://dbpedia.org/resource/Web_2.0
    • http://dbpedia.org/resource/Technology-Enhanced_Learning
  • 48. Related Topics: Web_2.0 in DBPedia
    • skos:subject
      • dbpedia:Category:Buzzwords
      • dbpedia:Category:Branding
      • dbpedia:Category:Cloud_applications
      • dbpedia:Category:Internet_memes
      • dbpedia:Category:Social_Information_Processing
      • dbpedia:Category:World_Wide_Web
      • dbpedia:Category:Web_2.0
      • dbpedia:Category:Web_services
  • 49. Problems
  • 50. Most services: English only Services can become unavailable
  • 51. Lesson: To advance science, make research results available to other parties, as a Web service or open source.
  • 52. Conclusion
  • 53. Ground breaking services and data have now become basic commodity By building upon them, research in Technology-Enhanced Learning can tackle more meaningful problems
  • 54. 谢谢! [email_address] http://www.carstenullrich.net http:// www.slideshare.net/ullrich