=Paper=
{{Paper
|id=Vol-95/paper-12
|storemode=property
|title=Personalisation in Self e-Learning Networks
|pdfUrl=https://ceur-ws.org/Vol-95/12-keenoy.pdf
|volume=Vol-95
|dblpUrl=https://dblp.org/rec/conf/mmgps/KeenoyC03
}}
==Personalisation in Self e-Learning Networks==
https://ceur-ws.org/Vol-95/12-keenoy.pdf
Personalisation in Self
e-Learning Networks
Kevin Keenoy
Birkbeck College, University of London
IST Workshop on
Metadata Management in Grid and P2P systems (MMGPS) -
Models, Services and Architectures
16th December 2003
The SeLeNe Project (IST-2001-39045) is
a one-year Accompanying Measure
funded by EU FP5
1st November 2002 to 31st January 2003
16th December 2003 Personalisation in Self e-Learning 2
Networks
Overview
• Why SeLeNe? - Motivation
• What is a SeLeNe?
• The SeLeNe information space –
Learning Object metadata
• Personalisation in SeLeNe
– Personal Views
– Personalised query results
– Notification services
16th December 2003 Personalisation in Self e-Learning 3
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Why SeLeNe?
• There are a huge number of learning resources now
available on the Web
• Electronic “textbooks” can now be created
collaboratively in ways that were previously
impossible
• We need tools to allow for the discovery, sharing and
collaborative creation of learning resources
• Semantic metadata describing these resources can
enable advanced services more powerful than
traditional Web techniques
16th December 2003 Personalisation in Self e-Learning 4
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What is a SeLeNe?
• Formed by members of a learning community
– instructors, learners and content providers
• The community creates a collection of shared
Learning Objects (LOs) and their metadata
descriptions
• Users register and share a LO by providing a
metadata description of it; some parts of the
metadata can be automatically generated
• The descriptions form a metadata repository – it is
the descriptions and not the LOs themselves that
SeLeNe manages
• There are various deployment options, the most
general of which allows the repository to be
distributed across many Sites
16th December 2003 Personalisation in Self e-Learning 5
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IEEE LOM
Custom Sch.
Program
Module
Course
SITE Lesson
SITE
Self e-learning
PEER SITE
Network
SITE
LO
SITE
ACM CSS
Objectives SITE SITE
CSCourses
Lesson SITE
AICourses
ppt
SITE
Learning Object Metadata
• IEEE LOM chosen for SeLeNe
• Augment with “customised attributes” such as
– Learning styles catered for
– Detailed relationships between LOs
• Use taxonomies of
– Topic/subject Domains (e.g. ACM-CCS)
– Learning Objectives (e.g. Bloom’s Taxonomy)
– Learning Styles (e.g. Honey and Mumford)
• All represented using RDF/S
16th December 2003 Personalisation in Self e-Learning 7
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SeLeNe Metadata Schema
related to
has prerequisite part of Learning
Name
Topics
Taxonomy
Learning with subject
Role Contributor Object
contributed by with goal
Organization
Learning
Objectives
Taxonomy
Title Language Format
ISA
Context Level Time
Program Course Module Lesson Component
LOM-RDF Example
“Object Oriented
“Data Bases” “Web Programming”
title Programming” CS 252
CS 340 title
CS 359 title
has part of part of
has
prerequisite prerequisite
Object Graphical
CS 240 Classes Interfaces
CS 252
title
has
“Data title
prerequisite part of part of
Structures”
“Object Oriented
Programming” Event
Swing
Handling
title
CS 150
“Introduction
to
Course Module Lesson
Programming”
Personalisation
• There are many LOs available to users of a SeLeNe;
some will be useful for them and others will not
• Personalised access to LOs provides learners with
tools to aid the discovery of useful LOs:
Views: Learner can browse the LO information
space according to just the attributes of interest to
them personally
Search: Learners are presented with LOs relevant
to their current educational needs
Notification: Learners are notified of the updates
and additions to the SeLeNe that are relevant to
them
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Personalised Views
• The user’s view of LO descriptions and
schemas can be personalised to reflect
their perception of the information space
• Personalised views can be browsed and
queried directly
• RDF View Language (RVL) allows
definition and population of virtual
schemas and LO descriptions
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Personalised Query Results
• These depend on a User Profile, which includes
– Some PAPI-Learner elements
– Some IMS-LIP and IMS-RCD elements
– Additional elements to record learning goals and learning
styles
• LO descriptions are queried using RQL, generated
from keyword-based queries – query generation
takes account of the profile as well as the query
– e.g. the language of LOs required can be specified
• The set of LO descriptions returned by query
evaluation are ranked according to the original query
and the User Profile
16th December 2003 Personalisation in Self e-Learning 12
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The SeLeNe User Profile
IMS-LIP:QCL IMS-LIP:
SeLeNe:
Qualifications Interests
History
PAPI:
Personal Info
IMS-RCD
ims-lip:
Competency
competency
LEARNER Taxonomy
SeLeNe: messages
Notifications
preferences
goals Catalog
Entry
Updated
New LOs LOs Description
IMS-LIP: Title
Goals
New Users
goal Priority
Date description
PAPI & SeLeNE:
Preferences
Learning
Objectives
learning
Taxonomy
style pref.
LO
Accessibility
Providers
goal topic
Learning Styles
Taxonomies Descriptive
Annotation
Verb
Learning
Topics
Taxonomy Style Taxonomy
16th December 2003 Personalisation in Self e-Learning 13
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Personalised Event and
Change Notification
• Users can register personal Event-Condition-Action
(ECA) rules, which act over the RDF repository like
traditional database triggers
• This enables notification of:
– Registration of new LOs of interest to the user
– Changes to descriptions of particular LOs
• Rules of the form:
on event if condition do action
are automatically generated from user input to
higher-level presentation and application services
16th December 2003 Personalisation in Self e-Learning 14
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Open Issues
• RDF query processing over P2P systems
needed
• Investigation of best algorithm for the
personalised ranking of query results
• Combination of ECA rules with transactions
and consistency maintenance in RDF
repositories
• Design of User Interfaces for access to
SeLeNe’s services
• Implementation and deployment of our
service-based architecture for the system
16th December 2003 Personalisation in Self e-Learning 15
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Further details and technical reports
available from:
http://www.dcs.bbk.ac.uk/selene/
16th December 2003 Personalisation in Self e-Learning 16
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