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Expert systems by Mind Map: Expert systems
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Expert systems

What are they?

Components

Huge database of collective intelligence of one or more experts

Artificial Intelligence (AI) system with faster-than-human response time and better-than-human patience

Responses

Proactive: Anticipates learners' needs

Reactive: Responds to learner's inputs

Purposes

Individualised instruction

Performance support

Examples

BMW AR

Learning analytics

To some extent, Computer Adaptive Testing (CAT)

Vehicular intervention systems

Auto parallel parking

Accident avoidance

Adaptive cruise control

Simulators with anticipatory/reactive response systems

Social expert systems

Includes both experts and learners as sources of knowledge and as teachers

Examples (see course wiki)

YouTube examples

Decision tree videos, Scenarios and decision-making, Multimedia quizzes, Example 1, Example 2

Lower cost, maintenance, and development time

More accessible

More open platforms

Human more apparent (e.g., comments, feedback, video responses)

User-generated content

High cost

Long development time

High maintenance