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Systems model for learning
Philip Buriak
, Brian McNurlen
, Joe Harper
Agricultural and Biological Engineering
Research output
:
Contribution to journal
›
Conference article
›
peer-review
Overview
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Keyphrases
Hard Systems
100%
Science Learning
50%
Problem Solving
50%
Engineering Students
50%
Evaluation Method
50%
Long-term Storage
50%
Cognitive Science
50%
Educational Psychology
50%
Traditional Models
50%
Learning Model
50%
Sensory Experience
50%
Novice Teachers
50%
Soft Systems
50%
Knowledge Behavior
50%
Presentation Skills
50%
Automatic Learning
50%
Engineering Educators
50%
Teaching Problem Solving
50%
Higher-order Thinking
50%
Intuitive Model
50%
Computer Science
Engineering Student
100%
Deep Understanding
100%
Cognitive Science
100%
Social Sciences
Engineering
100%
Evaluation Method
50%
Cognitive Science
50%
Educational Psychology
50%
Psychology
Systems Model
100%
Cognitive Science
33%
Educational Psychology
33%
Intuitive Model
33%