eLearning in Software Engineering

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eLearning in Software Engineering
Stanimir Stoyanov, University of Plovdiv
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Agenda

• DeLC
• CBT vs eLearning
• eLSE Project
• Implementation

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Distributed eLearning Center
DeLC
COMMERCE
BULCHINO
eLSE

Infrastructure supporting the education in
bachelors, masters, and PhDs
programs Activities different projects
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CBT eLearning
eLearning should not be confused with
traditional forms of CBT, which is nothing more
than recorded education Drucker, Delphi Group
Through the Internet, education will become
learner- and goal-oriented rather than
faculty-centered Lesser, Klein, MIT
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Computer Based Training (CBT)

• Origin of eLearning
• Attempt to automate education
• Process of learning predeterminated by
• Time
• Place
• Content
• Not more than recorded education

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eLearning

• Origins in CBT
• Process of learning
• Just-in-time, anywhere, anytime
• Customized
• On-demand

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CBT eLearning
Just-in-Time
Generalized
Personalized
Content
CBT
Context
Just-in-Case
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Important Remark

• If we intend to implement a real application
• Better CBT Tools
• eLSE is a research project (not real
  application)
• We need eLearning Tools
• New architectures (service-oriented)
• Semantic Web, Semantic Grid
• Standards architectures, protocols, e-content,
  
• ADL SCORM
• Multi-communication access to information sources
  (mobile devices)
• Agent-based approaches
• Knowledge technologies
• Application integration
• Profiling

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Conceptual Model (CM)
SELBO
eLSE Portal
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e-Content in eLSE
eLSE Portal
SELBO
Different Aspects Syntax Semantics
Meta-information
Basic LOs
Relations
SCORM
Packages
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SELBO-Editors Generators

• Basic LOs
• Multimedia Texts, Pictures, Sounds, Static
  charts
• Interactive HTML Pages Tests, Scenarios,
• Simulations (DT SIM Builder)
• Relations
• Ontology (domain modeling)
• SN Rules
• Packages
• SCORM Generator (not visible)
• User assistants
• Agents

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eLSE Portal

• Fix line access
• Mobile access (COMMERCE)
• eLearning Services
• eLSE Run-time System
• SCORM run-time

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COMMERCE- anywhere, anytime,
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COMMERCE
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COMMERCE
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User modeling personalization,

• Different approaches
• Overlay models
• Stereotype models
• Mix models
• Our approach
• From stereotype to mix
• CC/PP protocol (W3C)

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Models - Agents Mappings

• Stereotype models
• Agents without Domain Model Knowledge
• Mix models
• Agents with Domain Model Knowledge

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Stereotypes Personal Agents
User Environments
Server Agents
PA(Ivan)
Ivan is Student 1 year
Agent X (Student 1 year)
PA(Maria)
Maria is Student 1 year
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Implementation
Java 2 Enterprise Edition
Java 2 Standard Edition
JADE
CDC
CLDC
Cards
Java 2 Micro Edition
Protege
Java Language
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Milestones

• Introduction phase
• End of October06
• Design phase
• End of October07
• End of the implementation
• End of 2008

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Outcomes

• DeLC real operating infrastructure
• eLSE prototype implementation
• Specifications, Models (UML, AUML)
• Reports
• Publications

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Next steps
Editors
Agents
Abstraction levels
SmartAgents
Models
Scenarios
UserModel
Patterns
?
Generators
SELBO
IPL
CBS
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• Thank you!