Understanding Knowledge and Imagery in Cognitive Processing
In this free online course, learn about the concepts involved in Knowledge and Imagery in Cognitive Processing.
Description
In this free online course, you are introduced to the world of Understanding Knowledge and Imagery in Cognitive Processing. You will explore the Semantic Network Approach, as well as the Freedman Experiment Procedure and Cognitive Maps. Demonstrations, problems, examples and assessment questions in this instructor-led video-based course, are designed to provide you with a comprehensive foundation, which will enable you to take serious steps into this career.
The course begins by introducing you to the definition of Connectionism and the different approaches to categorization. Then, the Abstraction Concept will be discussed, which describes a process of the memory that stores the meaning of a message but not the exact message. You will explore the concept of Cognitive Maps, which is a mental representation of the environment that surrounds us. You will discover that research suggests that people use analogue codes and propositional codes when they create a mental image of an ambiguous figure.
Next, you will learn the Collins and Loftus Model and Schemas. You will gain insight into the terms categories, concepts, and scripts and you will discover the chronological steps in the Freedman Experiment Procedure. Finally, you will study Visual Imagery, Perception, and Mental Imagery. This course will be of interest to Social Sciences students, or those professionals in Humanities. Why wait? Start this course today and become an expert in the Cognitive Processes of Knowledge and Language.
Start Course NowModules
Knowledge
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Knowledge - Learning Outcomes
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Preface, Outline and Course Structure
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Categories and Concepts
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Semantic Networks Approach
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Connectionist Approach
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Schemas and Scripts
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Knowledge - Lesson Summary
Imagery
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Imagery - Learning Outcomes
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Representation of Knowledge
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Visual Imagery
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Visual Imagery and Perception
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Cognitive Maps
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Mental Imagery
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Imagery - Lesson Summary
Course assessment
Learning Outcomes
Upon successful completion of this course, you should be able to:
- Discuss the three ways through which knowledge is acquired
- Explain the three approaches to categorization
- Describe the Semantic Network Model
- Discuss the Connectionist Approach and the Adjustment of Weights
- Explain the Concepts of Schemas and Scripts
- Discuss the Concept of Visual Imagery
- Describe Cognitive Maps and Perception
- Explain the Analogue Approach to Visual Imagery
Certification
All Alison courses are free to enrol, study and complete. To successfully complete this Certificate course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Certificate course, you have the option to acquire an official Certificate, which is a great way to share your achievement with the world. Your Alison Certificate is:
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An incentive for you to continue empowering yourself through lifelong learning
Alison offers 3 types of Certificates for completed Certificate courses:
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