1. 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.

2. 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

3. 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

4. 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

5. 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

6. 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

7. Agent Factory Features
Interpreted Agent Programming Language
Agent Platform to support deployment of agents
Lightweight agent implementation that can be deployed on PDAs
Methodological support for agent fabrication

8. Moodle Modular Object-Oriented Dynamic Learning Environment
Modular Object-Oriented Dynamic Learning Environment
Developed by Martin Dougiamas
Open source
‘Social Constructionist Pedagogy’
Developed in PHP under a GPL license

9. 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

10. 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.”

11. Entre-pass Project Output
Online u-learning system
Personalised Content Presentation
Electronic Record of Training Achievements
Multi-language courseware: Danish, Spanish, Hungarian, Romanian, English

12. Video Content

13. Quizzes are used for Assessment

14. The Entre-Pass System Combination of Moodle and Agent Factory
Multi-Agent System constructed in Agent Factory

15. 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

16. 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

17. 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

18. 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

19. User Interface
Web-based system (

20. Online Feedback Form used

21. 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

22. 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

23. Contact Details and Additional Information

24. Questions??