• Learning and schema theory
• Learning from schema-based instruction
• The acquisition of planning knowledge

 

• Rule-based production systems.
• Neural networks
• Hybrid models
• The performance model
• The Learning model
• The full schema model

 

• Schema roots
• The nature of schema
• The Schemas of arithmetic story problem

Intuition initially sparse nodes of concepts and as the knowledge gets added nodes gets close and acts as a semi-symbolic concepts.

Course: Schemas in Problem solving

Instructor: Sandra P Marshall

Lec1: Fundamentals

• Schema roots
• The nature of schema
• The Schemas of arithmetic story problem

Lec2: Schemas and Instruction

• Theoretical issues for instruction
• The story problem solver
• The problem-solving environment

Lec3: Learning from Instruction

• Learning and schema theory
• Learning from schema-based instruction
• The acquisition of planning knowledge

Lec4: Schemas and Assessment

• Schema-based assessment
• Assessment in SPE and PSE

Lec5: Schemas and Models

• Rule-based production systems.
• Neural networks
• Hybrid models
• The performance model
• The Learning model
• The full schema model

Coda

very interesting and very insightful. a good start to know how humans acquire knowledge. Moreover this theory also gives insight to how logic and probability bring two school of thoughts (Classical and Modern AI) together.