Opportunities for AI in Intelligent Web-based Technology-Supported Learning
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Transcript of Opportunities for AI in Intelligent Web-based Technology-Supported Learning
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Opportunities for AI in Intelligent Web-based
Technology-Supported Learning
Carsten UllrichJian Wang
Ruimin ShenFrank Quosdorf
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Today’s Web: enormous potential for AI in technology supported learning.
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Today’s Web: enormous potential for AI in technology supported learning.
But potential is still under-exploited
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Today’s Web: enormous potential for AI in technology supported learning.
But potential is still under-exploited
This talk: Trends
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Today’s Web: enormous potential for AI in technology supported learning.
But potential is still under-exploited
This talk: Trends
Example
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Trends: Architecture of Assembly
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
APIs
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Your own system
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
RSS
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
New Articles
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
New Data
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Mash-ups
Yahoo! Pipes
http://www.flickr.com/photos/seeminglee/1950911618/
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Widgets
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Personal Learning Environments
http://role-project.eu
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Architecture of Assembly makes it easier to build
complex services
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Architecture of Assemblyadds to Web of documents a
layer of reusable services
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
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.
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Trend: User-Centered Web
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Trend: User-Centered Web
focuses on the individual using these documents and services
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Network of documents
Network of people
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Live Streams
FacebookFriendfeed
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Today: Silos
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
OpenID: decentralized single-sign-on mechanism
OAUTH: informationexchange between services
OpenSocial: APIs for common functionality for social
applications
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Information about user:
Attention ProfilingMarkup Language (APML)
Location data: Google Gears, Firefox
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Amazing amounts of data about user available
Opportunity: use this data for personalization
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Trend: Semantics
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Access to data no longer problem
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Access to data no longer problem
Problematic:
Find specific relevant piece of information
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Access to data no longer problem
Problematic:
Find specific relevant piece of information
Combine data
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Semantic Web
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Linked Open Data Initiative
Datasets include Wikipedia, DBLP, RKB Explorer, CIA World
Fact Book, OpenCyc, …
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
How to Get Semantics?
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
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.
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
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!
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
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 2.0grpuabybtl-raunaprq yrneavat
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
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 2.0technology-supported learning
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Opportunities:- Semantic Content and Semantics
for free enable amazing possibilities:
improved quality of service, better categorization, recommendation,
automatic linking with other resources, etc.
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Example: Totuba Toolkit
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
- research workbench- bibliography manager
- research network- support while writing research
papers
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
context-sensitive further reading
related topics
drag&drop referencing
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Semantifying
The term "Web 2.0“...
OpenCalais
Web 2.0technology-supported learning
DBPedia (others: Yago, Freebase, UMBEL)
http://dbpedia.org/resource/Web_2.0http://dbpedia.org/resource/Technology-Enhanced_Learning
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
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
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Problems
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Most services: English only
Services can become unavailable
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Lesson: To advance science, make research results
available to other parties, as a Web service or open source.
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Conclusion
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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL
Ground breaking services and data have now become basic
commodity
By building upon them, research in Technology-
Enhanced Learning can tackle more meaningful problems