entre-pass: personalising u-learning with intelligent agents
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Entre-pass: Personalising u-learning with Intelligent Agents. Gregory M. P. O’Hare, Br í d C. Doherty , Peter T. O’Hare, Michael J. O’Grady School of Computer Science and Informatics, UCD, Dublin, Ireland. www.entre-pass.com. Ubiquitous Learning. Anytime, Anywhere, Any media Learning - PowerPoint PPT PresentationTRANSCRIPT
Entre-pass: Personalising u-learning with Intelligent Agents
Gregory M. P. O’Hare, Bríd C. Doherty, Peter T. O’Hare, Michael J. O’Grady
School of Computer Science and Informatics,
UCD, Dublin, Ireland.www.entre-pass.com
Ubiquitous Learning
Anytime, Anywhere, Any media Learning
User sets their own learning timetable
Content adapts to user’s requirements
Same learning quality no matter which device is used
Desktop PC PDA Smart Phones
Home University/School Roaming
Server
User Profiling
On registration, explicit profile created Profiler Agent extracts this profile, places it in
User Profile Database Subsequent interactions cause implicit
refinement through Listener Agent-Profiler Agent interaction
Benefits of User Profiling
More intuitive interactions Users feel system adapts to their
requirements More comfortable user interactions Content is adapted to display and bandwidth
restrictions
Considerations with User Profiling
Profiling must not be obvious or intrusive Users may feel their privacy is being invaded
by aggressive profiling Profiling must be performed in an intuitive
and non-invasive manner
Agent Factory
A cohesive framework for the development and deployment of agent applications (Collier et al, 2003)
BDI (Belief-Desire-Intention) agent development
Inter-agent Communication language, based on FIPA standards
www.agentfactory.com
Agent Factory Features
Interpreted Agent Programming LanguageAgent Platform to support deployment of
agentsLightweight agent implementation that can
be deployed on PDAsMethodological support for agent
fabrication
Moodle
Modular Object-Oriented Dynamic Learning Environment
Developed by Martin Dougiamas Open source ‘Social Constructionist Pedagogy’ Developed in PHP under a GPL license
www.moodle.org
Entre-pass Project
Pan-European Project Partners in Spain, Denmark, Hungary, Romania, Britain
and Ireland Aim of our project is to increase the number of people
undertaking entrepreneurial training by increasing the visibility, accessibility and transferability of such courses and qualifications
Entre-Pass Project
Entrepreneurial qualification development Development of an on-line training course,
undertaken in an enveloping internet hosted training environment, adapted to the needs of those contemplating starting up their own business.
Successful completion of this course will lead to the award of the “European Certificate in Entrepreneurship.”
Entre-pass Project Output
Online u-learning system Personalised Content Presentation Electronic Record of Training Achievements Multi-language courseware: Danish, Spanish,
Hungarian, Romanian, English
Video Content
Quizzes are used for Assessment
The Entre-Pass System
Combination of Moodle and Agent Factory Multi-Agent System constructed in Agent Factory
Entre-Pass Multi-Agent System
Listener Agent– Detects user interactions– Passes results of these actions to Profiler Agent– e.g. Detects username and password on login
Entre-Pass Multi-Agent System
Profiler Agent– Maintains, updates and analyses the user profile in a
database– Extracts Profile from Moodle Database, stores it in User
Profile Database– Assesses the user’s requirements – Communicates these requirements to other Agents– e.g. Detects required language and notifies Content
Management Agent
Entre-Pass Multi-Agent System
Content Management Agent– Controls Content– Requirements are passed from Profiler Agent– Content is then selected from Content Database according to this
content– e.g. If a user performs badly in an assignment, the preceding
content is re-displayed for revision
Entre-Pass Multi-Agent System
Presentation Agent– Adjusts display for differing screen real-estate of PC and
PDA– Applies different css (cascading style sheet) to content
display
User Interface
Web-based system (www.entre-pass.com/)
Online Feedback Form used
Feedback Analysis
Online Form used Relevance of Materials & Videos:
– 51% relevant, 38% neutral, 11% irrelevant– Videos too large for dial-up or PDA viewing
Navigation: – 76% found it Intuitive or Very Intuitive
Conclusion
Application of intelligent agents allows for greater profiling capabilities
Courseware tailored to user requirements Both implicit and explicit profiling used Positive Feedback for the system
Contact Details and Additional Information
[email protected] www.prism.ucd.ie www.entre-pass.com www.entre-pass.com/moodle
Questions??