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Intelligent Tutors/ing - Coggle Diagram
Intelligent Tutors/ing
Knowledge Representation
Content
Skills
Affective characteristics
Metacognitive knowledge
Knowledge Updates
Cognitive Science Models
Constraint based (CBM)
Pattern recognition
Computationally efficient process
Pedagogical Neutral process
Only errors can be recognized by a computer model
Works in intractable domains where noise is a factor
Conditions
Declarative knowledge
Students internalize then apply
Model tracing
like info processing models
Coding
Focus is procedures
AI Models
BBNs
Classification and prediction
Predict student behavior
Model student knowledge
make tutoring decisions
Determine which steps students will need help and their probable method for solving problems
Represent
Observed and unobserved variables
relationships between prepositions about the student’s knowledge and tutoring decision
Machine Learning
Reasoning under uncertainty
Techniques and/or methods that are successful at reasoning about knowledge