240 likes | 370 Views
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
E N D
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
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 www.agentfactory.com • 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
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
Moodle www.moodle.org • Modular Object-Oriented Dynamic Learning Environment • Developed by Martin Dougiamas • Open source • ‘Social Constructionist Pedagogy’ • Developed in PHP under a GPL license
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
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/)
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 • brid.doherty@ucd.ie • www.prism.ucd.ie • www.entre-pass.com • www.entre-pass.com/moodle