Chapter 7_Thinking and Intelligence STUDENT
Chapter 7: Thinking and Intelligence
Overview
Exploration of thinking processes and intelligence
Key questions addressed:
Do we ever make truly rational decisions?
What influences our problem-solving abilities?
Definitions and measurements of intelligence
The impact of language on thought processes and vice versa
Page 1: Introduction to Chapter 7
Key Themes
Decision making and problem-solving processes
Understanding and measuring intelligence
The role of language in decision making
Page 2: Setting the Scene
Location Reference
Black Forest, Germany
Page 3: Core Questions
Do we ever make rational decisions?
Factors affecting problem-solving unbeknownst to us
What constitutes intelligence and its measurement criteria for educational programs?
Relationship between language and thinking
Page 4: Roadmap
Problem-Solving and Decision Making:
Mechanisms and failure points
Intelligence:
Theoretical frameworks and measurement methods
Language:
Basic concepts influencing decision making
Practical applications of cognitive science
Page 5: Cognition Studies
Focus on cognition:
Nature of thought processes
Variability in thinking abilities among individuals
Page 6: Mental Imagery
Definition
Mental representations resembling physical objects/events
Assistance in memory retention and skill acquisition
Page 7: Understanding Concepts
Concepts Defined
Ideas representing categories/sets of objects or events sharing traits
Essential features enable identification of similar instances (e.g., recognizing a new breed of dog)
Page 8: Types of Concepts
Formal Concepts
Defined by rigid rules learned primarily in educational settings
Example: Properties of a square
Natural Concepts
Created from personal experiences without strict definitions
Example: General categories like birds, fruits
Page 9: Prototypes
Definition
Exemplars that closely fit the defining traits of a category
Development influenced by:
Exposure to category objects
Individual knowledge
Cultural background
Page 10: Problem Solving vs. Decision Making
Decision Making:
Choosing between options
Problem Solving:
Cognitive processes for addressing challenges
Page 11: Methods in Problem Solving
Mechanical Solution
Repeated trial and error until success
Algorithms
Specific, linear procedures ensuring correct outcomes (e.g., mathematical formulas)
Page 12: Interactive Problem Solving Example
Scenario
Three men with weight limits must strategize crossing a river with a small boat
Requires multiple trips to achieve the goal
Page 13: Heuristic Approaches
Definition
Educated guesses reducing problem solutions' complexity
Often quick cognitive shortcuts to reach conclusions
Page 14: Representativeness Heuristic
Explanation
Judging events based on how much they resemble typical examples
Caveat: Use probability over stereotypes (e.g., elderly women perceived as kind)
Page 15: Availability Heuristic
Explanation
Estimating likelihood based on recall ease from memory
Recently salient topics may dominate thought processes
Page 16: Example of Misjudged Risk
Flu vs. shark attack fatality rates to illustrate how availability heuristic shapes perception
Page 17: Insights in Problem Solving
'A-ha!' moments leading to sudden realizations or solutions
Page 18-19: Additional Insightful Examples
Page 20: Geometric Problem Challenge
Task to create 4 equilateral triangles
Page 21-22: Barriers to Effective Problem Solving
Functional Fixedness
Limiting thinking to conventional uses of objects
Mental Set
Reliance on previously successful patterns despite new circumstances
Page 23: Confirmation Bias
Favoring information confirming existing beliefs while ignoring contradictory evidence
Example: Views on horoscopes and vaccination misconceptions
Page 24: Creativity Defined
Ability to generate unique and valuable ideas
Types of Thinking
Convergent Thinking:
Directs thought toward a single solution
Divergent Thinking:
Expands from one idea toward multiple innovative outcomes
Page 25: Intelligence Overview
Definition of Intelligence
Capacity to learn from experiences, gain knowledge, and apply resources effectively
Contrast with physical measurement (e.g., temperature)
Page 26: Theoretical Perspectives
Spearman’s Theory
General Intelligence (g): Reasoning and problem-solving capability
Specific Intelligence (s): Proficiency in particular areas
Page 27: Beyond g - Fluid and Crystallized Intelligence
Fluid Intelligence
Natural problem-solving ability, influenced minimally by experience
Crystallized Intelligence
Knowledge and skills gained through experience (e.g., vocabulary)
Page 28: Gardner's Multiple Intelligences
Including but not limited to:
Linguistic, Musical, Logical, Visual/Spatial
Consideration of whether abilities like athletic prowess qualify as intelligences
Page 29: Gardner’s Nine Intelligences Table
Type of Intelligence Description Sample Occupation | ||
Verbal/Linguistic | Ability to use language | Writers, Speakers |
Musical | Ability to compose and perform | Musicians |
Logical/Mathematical | Reasoning and problem-solving | Scientists, Engineers |
Visual/Spatial | Understanding object orientation | Pilots, Artists |
Movement | Physical coordination | Dancers, Athletes |
Interpersonal | Sensitivity to others | Psychologists, Managers |
Intrapersonal | Understanding of self | Various careers |
Naturalist | Recognition of natural patterns | Biologists, Farmers |
Existentialist | Philosophical insight on life's meaning | Philosophers |
Page 30: Critique of Multiple Intelligences
Discussion on implications of broadening intelligence definition
Debate on selecting appropriate capabilities as intelligences
Page 31: Sternberg's Triarchic Theory
Types of Intelligence
Analytical: Problem breakdown and evaluation skills
Creative: Adaptive problem-solving with new concepts
Practical: Utilizing information in real-world situations (street smarts)
Page 32: Emotional Intelligence
Ability to process and utilize emotional information
Components of Emotional Intelligence
Perception, understanding, expression, and utilization of emotions
Page 33: Intelligence Testing
Quality of Tests
Reliability: Consistent scores over time
Validity: Accurate measurement of intended constructs
Page 34: Testing Examples
Examples of IQ test items and logical reasoning questions
Page 35: IQ Definition and Historical Context
IQ: Intelligence Quotient
Developed by Binet and Simon to assist educational placement
Page 36: Calculation of IQ
Initial formula: IQ = (Mental Age / Chronological Age) x 100
Average IQ defined where these ages equal each other
Page 37: Contemporary understanding of IQ
Score Distribution
Current perspective: IQ scores represent a bell curve
Normal IQ range typically centers around 100
Page 38: Interpretation of IQ Scores
Meaning of various IQ thresholds
Significant impairment below 70; giftedness above 130
Page 39: Critiques of IQ Testing
Limitations of IQ tests in predicting success
Importance of environmental factors in performance evaluation
Page 40: Long-Term IQ Reliability
Stability of IQ scores over time
Page 41: The Flynn Effect
Observed increase in intelligence scores over recent decades
Implications for education and assessment practices
Page 42: Language Component
Definition
An open, symbolic communication system following grammatical rules
Flexibility and abstraction of language highlighted
Page 43: Aspects of Language
Phonology, semantics, syntax, pragmatics categories
Page 44: Phonology
Definition
Sound structure used to create words
Phonemes
Basic units of sound across languages
Variability in sound recognition diminishes with age
Page 45: Morphemes
Smallest meaningful units of language (e.g., "previewed")
Page 46: Grammar
Rules governing semantics (meaning) and syntax (structure)
Page 47: Semantics
Definition
Rules governing meaning of language in context
Effective communication hinges on accurate semantic application
Page 48: Syntax
Definition
Rules for organizing words into coherent sentences
Example differences between languages illustrated
Page 49: Pragmatics
Definition
Contextual language use and social communication norms
Page 50: Interconnection of Language and Thinking
Theoretical Models
Vygotsky: Language shapes thought
Piaget: Thought development impacts language
Page 51: Neuropsychology Overview
Definition
Study of brain-behavior relationships focusing on cognitive functions
Page 52: Neuropsychological Assessment
Domains Assessed
Intelligence, language, memory, decision-making capabilities
Chapter 7: Thinking and IntelligenceOverview of thinking processes and intelligence, addressing key questions such as rational decision-making, factors influencing problem-solving, definitions and measurements of intelligence, and the impact of language on thought.Key Themes:
Decision making and problem-solving
Understanding and measuring intelligence
Role of language in decision makingCognition focuses on the variability of thought processes and abilities among individuals. Concepts are categorized into formal (defined by rules) and natural (based on personal experiences). Problem-solving methods include mechanical solutions, algorithms, and heuristics.Different types of intelligence are proposed, including Spearman’s General Intelligence and Gardner's Multiple Intelligences (e.g., linguistic, logical-mathematical). Emotional intelligence focuses on emotional processing skills.IQ tests assess intelligence reliability and validity, illustrating the significance of environmental factors. The Flynn Effect notes an observed rise in IQ scores over time, and the relationship between language and thought is explored through various theoretical models.