E-Learning on the Social Semantic Information Sources

E -Learning on the Social Semantic Information Sources Informal ways of knowledge harvesting Jarosław Dobrzański Jaroslaw.dobrzanski @deri.org March , 14 rd 200 7

Outline
Motivation scenario
Formal and Informal Learning
Social Semantic Information Sources review
Expressing information
Didaskon

Sample scenario
Preconditions:
John, 22 years old student, wants to learn the history of Ireland
John already has some knowledge in that field, since last summer he was in Dublin for a month (he has done some sightseeing)
One of is hobbies is gaellic footbal
His best friend, Paul:
Has recently learned about Ireland
Has also read supportive meterials delivered by the LMS.
Has described the most interesting facts in his semantic blog
Has also bookmarked some relevant websites on his del.icio.us
LMS knows abovementioned facts – they are included in his profile description

Sample scenario
Action:
John is mature – used courses for adults
He has learned something while sightseeing – no use repeating
Introduce into learning path more information about gaellic footbal , perhaps even on other Irish sport disciplines as he likes sport
Use the information Paul has collected on del.icio.us and his semantic blog
Results
John learned from formal learning materials
He also used new collaborative tools
He annotated and evaluated (parts) of the learning material – the can be useful in future

Formal vs. Informal learning
Flexible and spontaneous – learn what/when/where you want
New, more natural, unofficial approach
Learning is PULLED
Chats, observations
Rapid exapnsion of the Internet affected it
Costs less, better effects
Rigid cources – made once and for all
Traditional, old, preparatory approach (i.e. classrooms)
Training is PUSHED
Also new platforms – online courses provided by Learning Management Systems – HUGE COSTS
Informal Formal

Social Semantic Iinformation Sources
Techniques of Web 2.0 and the Semantic Web – towards the Semantic Web 2.0
Collaboration, sharing, bookmarking powered by semantic descriptions
Examples:
Semantic Blogs
Semantic Wikis
Social Semantic Digital Libraries

Semantic Blogs
Will Richardson – educational blogging pioneer
Students to write a reader’s guide to a book
Author of the book involved – answering questions
Collaboration platform
Metadata about the blogs content to adapt them to the Semantic Web platform
Semantic Blogs are both human and machine readable
Better search , browsing and navigation
Enriching posts with other types of information
Rich relations between posts from many weblogs

Semantic Wikis
Wiki – interlinked website developed and maintained by a community
Simple text syntax for creating pages
Easy and deep linking via names
Developed by members of a society
Everyone tries to keep it reliable
Versioning and diff features
Examples: e ncyclopedia, open source software management platform, personal information management system

Semantic Wikis
Semantics improves wikis
Better structure and content modelling – a way to create RDF without knowing about it
Rich description of relations between pages
Defining types and objects
RDF Import / export anabled

Social Semantic Digital Library
Digital library for the next generation Internet
Different resources: books, magazines, multimedia
Additional, informal sources of information: evaluations, annotations
More efficient, ontology-based search
Community-enabled search and browsing
Integrating knowledge from various heteregenous sources
Interconnecting different digital library systems
Repository of knowledge

Other informal sources of knowledge
Online chats: Skype, Jabber
Video streaming: YouTube, Google Video
Slides repository: slideshare.net
Social bookmarking: del.icio.us
Photo services: Flickr
Online calendars: upcoming.org

SIOC (Semantically-Interlinked Online Communities)
Framework/ontology for connecting different online community sites and expressing information collected from them
Allows instant import/export of the data to the semantic character for further use
Still developed to cover more Web 2.0 community sites

Didaskon project
Developed in DERI
Deliver a framework for assemblying an ondemand curriculum from existing Learning Objects (LOs) provided by e-Learning services
Connection between formal and informal learning:
Repository of couses prepared by specialists (formal LOs)
Transform data collected from SSIS into LOs (informal knowledge)
Used o ntolog ies link user needs and the characteristics of the learning material

Didaskon project
LOs described with LOM ontology, composed into a learning path for a specific student
User profile (knowledge level in different domains and goals/expectations from the course) described with FOAF ontology – preconditions
Didaskon:
returns learning material customized for specific user’s needs
allows more scalable helper features for students supervision
Produced curriculum:
reflects user requirements
introduces new interdisciplinary, extensible and robust meaning of e-Learning

E-Learning on the Social Semantic Information Sources

by Jaroslaw Dobrzanski on Mar 20, 2007

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