Intelligent Learning Environment Concept

LMS – ILE Goals To create a platform able to support : Agents with “ profilable subject matter “ expert knowledge Relief Tutors from 1° level “ Subject matter “ tutoring activity Students / Work Groups (LE) with 1° level “ Subject matter “ tutoring Interpret the “tutoring role” according to : Knowledge / Subject matter profile Pedagogical profile in conjunction with the “learning entity (LE)” profile AI Engine input LMS tracking data LSA , or any type of system interpretable, external input Profiles Manual intervention from Experts, Tutors etc.

To create a platform able to support :

Agents with “ profilable subject matter “ expert knowledge

Relief Tutors from 1° level “ Subject matter “ tutoring activity

Students / Work Groups (LE) with 1° level “ Subject matter “ tutoring

Interpret the “tutoring role” according to :

Knowledge / Subject matter profile

Pedagogical profile in conjunction with the “learning entity (LE)” profile

AI Engine input

LMS tracking data

LSA , or any type of system interpretable, external input

Profiles

Manual intervention from Experts, Tutors etc.

LMS – ILE Design issues Static Design strives for a simple, elegant, efficient solution to a single situation. Outside of that situation the design is useless Adaptation strives to just survive in a constantly changing situation. Adaptation is continuously making design decisions Requirements Design Implement Test Water Fall Design Process Impl Impl Adaptive Control Loop Implementation Loads Capacity Cost QoS Adaptive Control Policy Conditions Conditions

Static Design strives for a simple, elegant, efficient solution to a single situation.

Outside of that situation the design is useless

Adaptation strives to just survive in a constantly changing situation.

Adaptation is continuously making design decisions

LMS – ILE Environment Global Architecture of the ILE Platform

LMS – ILE Environment OLAT Java based LMS performing functions like: Student , Teacher, Authors administration Group administration E-Course administration General access control Global community functions like Forum, Wiki, Blog Extended tailored functions like e-Portfolio etc. AI coaching / tutoring Engine Learning entity Agent (real-time student / group profiler) Curriculum Subagent (generating and adapting learner curriculum) Knowledgebase Agent (Subject matter related) Pedagogical profiler Coach / Tutoring Subagent Subject matter profiler Presentation Agent (Dynamic session initiator) Pedagogical Agent Coaching/Tutoring administrator Agent Authoring Middleware AIML / UML / SOAP utilities AI ILE Authoring tools Global Knowledgebase management utilities Standalone e-Course development environment AI simulation / Test utilities ILE Components

OLAT Java based LMS performing functions like:

Student , Teacher, Authors administration

Group administration

E-Course administration

General access control

Global community functions like Forum, Wiki, Blog

Extended tailored functions like e-Portfolio etc.

AI coaching / tutoring Engine

Learning entity Agent (real-time student / group profiler) Curriculum Subagent (generating and adapting learner curriculum)

Knowledgebase Agent (Subject matter related) Pedagogical profiler Coach / Tutoring Subagent Subject matter profiler

Presentation Agent (Dynamic session initiator)

Pedagogical Agent

Coaching/Tutoring administrator Agent

Authoring Middleware

AIML / UML / SOAP utilities

AI ILE Authoring tools

Global Knowledgebase management utilities

Standalone e-Course development environment

AI simulation / Test utilities

OLAT – ILE INTEGRATION ILE-AI Push/Pull Servlet ILE-AI LMS Communicator AI - Engine

LMS – ILE Environment Plugins Blackboard (Method for inter Agent Communication) Agent Publish (Push) Subscribe (Pull) Message Queue

LMS – ILE AI Framework component servic e BB Behavior effecter coordinator sensor component service servic e component library Agent BB Behavior effecter coordinator sensor component component service servic e library Agent Abstracted Environment System specific Variable Boundary Application domain specific Cougaar Agent Reference Model Framework Infrastructure

LMS – ILE AI Framework Symbolize domain knowledge Continuously executing Responding to dynamic environment No dependencies on other Plugins Publish all relevant information to the blackboard Plug-in Functionality Allocators Assessors Cougaar Agent Data User Interface Expanders

Symbolize domain knowledge

Continuously executing

Responding to dynamic environment

No dependencies on other Plugins

Publish all relevant information to the blackboard

Architectural Mapping Sensor-Based Control Loop Model-Based Control Loop Cognitive Control Loop Model Policy Situation inference rules days to minutes secs to msecs Network Disk management plane data plane Sensor/ Activity Proxy Agents Real-time Optimizer Agents processing status coordination resource status coordination resource trends coordination Cognitive Learner Agents processing. trends coordination Situation Predictor Agents processing pattern coordination resource pattern coordination Sensor/Activity Proxy Agents Processing Units CPU

Architectural Mapping Application Functional modules (oval shaped) Underlying distributed environment Sensor / Activity to control loop coordination Evolving degree of human involvement Cougaar Agent societies Cougaar environment Agent coordination Transitioning of control loops human to automation architectural mapping

Application

Functional modules (oval shaped)

Underlying distributed environment

Sensor / Activity to control loop coordination

Evolving degree of human involvement

Cougaar

Agent societies

Cougaar environment

Agent coordination

Transitioning of control loops human to automation

LMS – ILE Environment Agent Agent Coordination Artifact (CA) Agent Defines roles Agent Role-players Shared state Coordination Artifacts: CAs Are first-class entities in MAS Define explicit roles for role-players Offer shared state between the role-player & the CA Coordinate behavior among role-players Have distributed implementation

Coordination Artifacts: CAs

Are first-class entities in MAS

Define explicit roles for role-players

Offer shared state between the role-player & the CA

Coordinate behavior among role-players

Have distributed implementation

Dynamic Re-Planning and Execution Monitoring Negotiate between agents to iteratively improve plan Repetitively recheck assumptions : Constraints, Data, Policies, Metrics Updates from data sources as time progresses Data Source Real-Time Data Fusion Self-Assessment Allocation Results Reallocations Task Allocations

Negotiate between agents to iteratively improve plan

Repetitively recheck assumptions : Constraints, Data, Policies, Metrics

Updates from data sources as time progresses

Supporting Adaptation in the System Life Cycle Metric Service Management Society Agent Services Coordination Run Environment Configuration Rules Society Configuration Rules Deploy Components Binders/Aspects Plug-ins Configure Event Driven SOA (Service Oriented Architecture) Data Driven Blackboard Knowledge Rep Program Environment Agent Development Phase IDE Application Plug-ins Deploy Rules Spec Tool Run Server Cougaar Middleware Society Monitor

Thank you for your attention

Thank you for your attention