opportunities for ai in intelligent web-based technology-supported learning

Opportunities for AI in Intelligent Web-based

Technology-Supported Learning

Carsten UllrichJian Wang

Ruimin ShenFrank Quosdorf

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

Trends: Architecture of Assembly

Your own system

New Articles

New Data

Mash-ups

Yahoo! Pipes

http://www.flickr.com/photos/seeminglee/1950911618/

Widgets

Personal Learning Environments

http://role-project.eu

Architecture of Assembly makes it easier to build

complex services

Architecture of Assemblyadds to Web of documents a

layer of reusable services

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.

Trend: User-Centered Web

focuses on the individual using these documents and services

Network of documents

Network of people

Live Streams

FacebookFriendfeed

Today: Silos

OpenID: decentralized single-sign-on mechanism

OAUTH: informationexchange between services

OpenSocial: APIs for common functionality for social

applications

Information about user:

Attention ProfilingMarkup Language (APML)

Location data: Google Gears, Firefox

Amazing amounts of data about user available

Opportunity: use this data for personalization

Trend: Semantics

Access to data no longer problem

Problematic:

Find specific relevant piece of information

Problematic:

Find specific relevant piece of information

Combine data

Semantic Web

Linked Open Data Initiative

Datasets include Wikipedia, DBLP, RKB Explorer, CIA World

Fact Book, OpenCyc, …

How to Get Semantics?

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.

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!

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

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

Opportunities:- Semantic Content and Semantics

for free enable amazing possibilities:

improved quality of service, better categorization, recommendation,

automatic linking with other resources, etc.

Example: Totuba Toolkit

- research workbench- bibliography manager

- research network- support while writing research

papers

context-sensitive further reading

opportunities for ai in intelligent web-based technology-supported learning

web dbpedia

learning dbpedia

todays web

opencalais web

web of documents

term web

semantic web

technologyenhanced learning

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