Adaptive Navigation Support in Educational Hypermedia: An ...
Adaptive Hypermedia Tutorial System Based on AHA
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Transcript of Adaptive Hypermedia Tutorial System Based on AHA
Adaptive Hypermedia Tutorial Adaptive Hypermedia Tutorial System Based on AHASystem Based on AHA
Jing Zhai
Dublin City University
OutlineOutline
MotivationSystem targetTechnical backgroundSystem architectureExamplesConclusion
MotivationMotivation
Nowadays the way people acquire knowledge has been diversified along with the development of information technology
Traditional "static" hypermedia applications have its own limitation
we need a dynamic and adaptive hypermedia application system
System targetSystem target
Provide an adaptive hypermedia tutorial authoring interface to tutorial authors and web-based education.
Track user information regarding performance with online problem solving .
Based on the above information, adapt the content to serve the user.
Adaptive Hypermedia SystemsAdaptive Hypermedia Systems
Build a model in terms of the “mental state” of the user:
Explicit directives (user) Observing the interaction (user system) Requirement: Adapts the contents of each node to the appropriate level
of difficulty Adding explanations where it needs Avoiding technical terms that cannot be understood Removing irrelevant detail
Make system adaptable
AHA!, the “Adaptive Hypermedia Architecture”, was originally developed to support an on-line course with some
user guidance through conditional explanations and conditional link hiding. It’s delivered as Open Source software, and written entirely in Java, using Servlets
J2EE ArchitectureJ2EE Architecture
My tutorial system My tutorial system architecturearchitecture
Domain model (DM) contains a set of concepts and concept relationships. Concepts are objects with a unique object identifier, and the relationships that includes prerequisite, link etc. DM is stored in the second layer of business logic in this tutorial system.
Adaptation model (AM) describes the rule of adaptation, including content adaptation, link adaptation and the updating of user model. In our system, we describe the rules using XML files. Actually, in most of adaptive hypermedia systems, a set of rules would be hard coded into.
User model (UM) consists of named entities in which we store a number of attribute-value pairs. Each entity could have different attributes, but most entities have the same ones in practice. Therefore, we use database table structure to represent user model.
The advantages of system The advantages of system architecturearchitecture
Client layer: use JSP or applet to present system interface dynamically or statically, meanwhile AJAX will be applied to assist the personalization.
Middle layer: use J2EE components and containers to implement the different functions of system.
EIS layer: use JDBC or Hibernate to construct the exchange bridge between Database and Middle layer.
Examples – Examples – login pagelogin page
Examples – register pageExamples – register page
Examples – Examples – test pagetest page
Examples – Examples – result pageresult page
Examples – directory pageExamples – directory page
ConclusionConclusionThe aim of this project is tracking user
information regarding to the performance with online problem solving, and adapting the contents served to the user based on above information.
This personalised adaptive hypermedia tutorial system has achieved goals of personalization and adaptation. It is also a meta tutorial system, that is, by correctly configuration, it is suitable for test system in many subjects
Further workFurther work In this system, the adaptation is implemented
by DM, AM, UM and programming, which have no enough flexibility or extensibility.
In further work, we will focus on the principle of AHA engine, and establish an adaptation engine to describe and execute adaptation behavior.