3. The essential ingredients of "new wave" learning environments
3.2 Intelligent Tutoring Systems and Environments
A: Intelligent Tutoring Systems
The "classical" ingredients:
The typical ingredients of a simple learner-centered system:
The learner and the expert system share the problem:
IF the problem-state-display has feature X
THEN apply operator Y on problem-state-display
B: A more complex example: The ETOILE architecture
C: Where was the problem ?
D: Intelligent Learning Environments in simple talk:
The Learner must be active
- (again and always: people don't learn by browsing hypertext and by answering questions!)
A learning environment should be designed to be as powerful dedicated working environments.
- It must be rich and complex reflecting the essential properties of what has to be learned.
The environment must be structured.
- If the richness of a learning environment is a quality, its complexity may reduce learning.
- It must provide optimal learning conditions as a function of the learner's stage of knowledge.
Learning environments should be designed as hierarchical knowledge base generators
Learning environments should present knowledge as a communication system.
- A learner must interact with agents, tutors, co-learners
(real or artificial)
Such environments do not exist on Internet (yet)
- The "artificial intelligence" part will be much less important than in traditional ITS systems
- A: - Intelligent Tutoring Systems
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- B: - A more complex example: The ETOILE architecture
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- C: - Where was the problem ?
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- D: - Intelligent Learning Environments in simple talk:
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Brazil 97 - 3 MAY 1997
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