Transcript Mastering Adaptive Hypermedia

Mastering Adaptive Hypermedia
Courseware
Authors: Boyan Bontchev, Dessislava Vassileva, Slavomir Grigorov
ICETA 2008
Content
• Introduction
• Contemporary e-learning tendencies
• A triangular model for AHS
• The learner model
• The domain model
• The adaptation model
• The adaptation engine
• Software architecture of adaptive hypermedia system
• Construction of hypermedia courseware for adaptive delivery
• The authoring tool
• The instructor tool
• The adaptation engine and learner app.
• Conclusions
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Introduction
What is e-learning?
… is an umbrella term that
describes learning done at a
computer, usually connected to
a network, giving us the
opportunity to learn almost
anytime, anywhere.
… is a catch-all term that covers a
wide range of instructional material
that can be delivered on a CD-ROM
or DVD, over a local area network
(LAN), or on the Internet.
… is the delivery of a learning, training
or education program by electronic
means. E-learning involves the use of a
computer or electronic device (e.g. a
mobile phone) in some way to provide
training, educational or learning
material. (Derek Stockley 2003)
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Introduction
Why e-learning?
• Communication and multimedia
technologies
• Flexibility - anywhere, anytime
• Student’s demand of e-learning
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Contemporary e-learning tendencies
• Growing usage
• Web based applications
• Adaptation to user
(Adaptive Hypermedia Systems)
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A triangular model of AHS
Narrative
Storyboard
•The learner model
•The domain model
•The adaptation
model
•The adaptation
engine
Storyboard
Rules
Goals and
Preferences
Learning
Style
Adaptation
Model
Narrative
Metadata
Content
Adaptation
Groups
Learner Engine Domain
Model
Model
Content
Knowledge &
Performance
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Content
Metadata
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The learner model
• Goals and
Preferences
• Learning Style
• Shown knowledge
(Performance)
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The domain model
• Granulation of learning materials into
Learning objects (LO),
(SCORM standard)
• Content metadata (LOM)
• Ontology tree
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The adaptation model
Storyboard graph
• Learning nodes (pages)
• Possible paths
WP1
• Control points
P1
Link annotations
Exam thresholds
P2
CP1
LO parameters
P3
P4
P5
P6
WP2
CP2
P7
WP3
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The adaptation engine
• Evaluating user preferences (prediction)
• Making decision, which path to chose
for the user (content selection)
• Hiding uninteresting content and links
• Using scaled annotations for links
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Construction of hypermedia courseware for
adaptive delivery
Instructor
(author of the courses)
LOs representation
description
Student
Author of the
LOs
Content delivery
Learning
content
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Software architecture of adaptive
hypermedia system
Clients
• Author
• Instructor
• Learner
• Administrator
Client specific services
Business API
Adaptation engine
Database
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The authoring tool
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•
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Content – LO (Text, Image, Audio, Video)
LO Metadata (LOM)
Test questions associated to LO
XML format is supported
Web based application
In use as standalone ARCADE Platform
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The instructor tool
•
•
•
•
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Courses
Learning pages – setting LOs
Exam (control points)
Links
RIA Adobe Flex application
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The adaptation engine and learner app.
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• Chose work path
according to the
learners goals
and preferences (Content selection)
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• Adjust page for delivery (content
hiding, link annotation, link hiding) –
generate xsl transformation.
• Exam handling
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Conclusions
Authors and instructors are mastering
adaptive content
Future improvement:
• Scanning user interaction
• Artificial intelligence in AE algorithm
• Authoring tool - cross-platform
interoperability
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Questions
Boyan Bontchev:
[email protected]
Dessislava Vassileva:
[email protected]
Slavomir Grigorov:
[email protected]
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Thank You for attention 
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