Chapter 8: Language, Thinking, and Intelligence
Chapter Summary
I.THINKING - Thinking is a component of cognition, which is the process of acquiring, storing, retrieving, and using information. Cognition involves the gathering and processing of information and includes sensation, perception, learning, and memory, which have been discussed in previous chapters; and thinking, language, and problem solving, which are discussed in this chapter. Thinking involves using information and knowledge to perform such mental activities as reasoning, solving problems, producing and understanding language, drawing conclusions, and expressing and comprehending thoughts.
A.The Thinking Brain – Recent research has identified the prefrontal cortex as a special processing area during problem solving and decision-making and it is also connected to the limbic system the center of our emotions. Regions of the prefrontal cortex may be the part of the brain most actively involved with thought.
B.Cognitive Building Blocks – Thinking involves three basic building blocks – mental images, concepts, and language. A mental image is a representation of a sensory experience. Concepts are mental representations of a group or category and help us simplify and organize information. We learn concepts by at least three major methods – artificial concepts, natural concepts, and hierarchies. While artificial concepts are precisely defined and may not be as expedient, natural concepts rely on prototypes or a “best example” which can be quicker and more efficient. Hierarchies are concepts that have been ranked with specific subcategories within broader concepts.
C.Problem-Solving - Problem solving is defined as a series of thinking processes we use to reach a goal that is not readily attainable. The three major steps in problem solving are preparation, production, and evaluation:
1.Preparation - As the first step, preparation involves identifying given facts, distinguishing relevant from irrelevant facts, and defining the ultimate goal.
2.Production - During the production stage, possible solutions, called hypotheses, are generated. There are two major procedures for generating hypotheses—by using algorithms and heuristics. Algorithms are problem-solving strategies that always eventually lead to a solution. They often involve trying out random solutions to a problem in a systematic manner (e.g., 2 x 10 = 2 + 2 + 2...all the way to 10). Heuristics are rules of thumb or educated guesses developed from previous experience that involve selective searches for appropriate solutions to problems. Heuristics generally, but not always, leads to a solution. The three most valuable heuristics are means-end analysis, working backward, and creating sub-goals.
3.Evaluation - The final step in problem solving, evaluation, involves appraising hypotheses to see whether they satisfy the conditions of the goal as it was defined in the preparation stage.
Applying Psychology to Everyday Life: Recognizing Barriers to Problem Solving – Barriers to problem solving include mental sets (only using methods that have worked in the past rather than trying new ones such as the SQ4R Method), functional fixedness tendency to see only familiar uses for well-known objects), confirmation bias (the tendency to seek out and pay attention to information that confirms existing positions or beliefs, while ignoring contradictory information), availability heuristic (basing the probability of events on how easily recalled, and representativeness heuristic (estimating the probability of an event based on how well a previous prototype.
Critical Thinking/Active Learning: Solving Problems in College Life: The critical thinking exercise allows students to practice the three major problem solving strategies (algorithms and heuristics) and two specific heuristics (means-end analysis, working backward, and creating sub-goals).
D.Creativity - Creativity is the generation of ideas that are original and useful. Creative thinking involves originality, fluency, and flexibility. Two distinct types of creative thinking include: convergent, where the person works toward a single solution to a problem; and divergent, in which the person tries to generate as many solutions as possible. Brainstorming is an example of divergent thinking.
II.LANGUAGE
A.Characteristics of Language - Human language is a building block of thinking, enables us to communicate our thoughts and feelings in creative and complex ways, and is largely learned rather than instinctive like other animals. Phonemes are the basic speech sounds; they are combined to form morphemes, the smallest meaningful units of language. Phonemes, morphemes, words, and phrases are put together by rules of grammar (syntax and semantics). Syntax refers to the grammatical rules for ordering words in sentences; semantics refers to meaning in language.
B.Language and Thought – The Whorf hypothesis is presented as an intriguing hypothesis that theorizes language determine our perceptions of reality. Some researchers suggest that a more tenable position is that language influences thought. Several examples are presented to support Whorf’s linguistic relativity hypothesis.
C.Language Development – Stages and theories of language development are explored. The first prelinguistic stage begins with the newborn’s reflexive cry and becomes more purposeful. At about 2 to 3 months, babies begin cooing and around 4 to 5 months they start babbling. The linguistic stage begins near the first year. Around 2 years, a pattern called telegraphic speech begins and by age 5 children have usually mastered the basic rules of grammar. Most theorists believe that language acquisition is a combination of both nature and nurture. Noam Chomsky believes that humans are born “pre-wired” with an ability to put words together in a meaningful way and possess a type of language acquisition device (LAD) that enables a child to analyze language and extract the basic rules of grammar.
D.Animals and Language – Nonhuman animal use of language is explored. One of the most successful studies taught apes nonvocal language using American Sign Language. In another study, dolphins were taught to understand sentences that varied in syntax and meaning. Although evidence suggests that animals can learn language, skeptics suggest that animals are being trained to respond for rewards., but it is less complex, less creative, and more rule-laden than human language.
III.INTELLIGENCE
A.What is Intelligence? - There are numerous definitions for intelligence. Charles Spearman viewed intelligence as "g," a general cognitive ability; L. L. Thurstone viewed it as seven distinct mental abilities; J. P. Guilford viewed it as 120 or more separate abilities; and, Raymond Cattell viewed it as two types of "g"--fluid intelligence and crystallized intelligence. Contemporary theorist, Howard Gardner, proposes a theory of multiple intelligences and has identified eight different types of intelligence and suggested that teaching and assessing should take into account people's learning styles and cognitive strengths. Robert Sternberg, another contemporary theorist, developed a triarchic theory, which emphasizes three separate but related aspects of intelligence—the internal components, the use of these components to adapt to environmental changes, and the application of past experiences to real-life situations. The text defines intelligence as the global capacity to think rationally, act purposefully, and deal effectively with the environment.
B.How Do We Measure Intelligence? - Most IQ tests are intended to predict abilities needed for school success. There are several individual IQ tests, the major ones being the Stanford-Binet, and the Wechsler. The Stanford-Binet measures primarily verbal abilities of children aged three to sixteen. Although the Stanford-Binet also has sub-scales that can measure adults, most often adult IQ scores are measured using the Wechsler Adult Intelligence Scale. There are actually three separate Wechsler intelligence scales, each designed to test distinct age levels verbal and nonverbal abilities. In order for any test to be scientifically acceptable it is necessary for the test to include three basic requirements: standardization, reliability, and validity. Standardization is the process of giving a test to a large number of people in order for the norms for the test to be developed and ensuring the procedures for administering the test are formalized so that all people who administer the test do so in exactly the same way. Reliability is a measure of the stability of test scores over time. Good tests will return similar scores when given to the same person at different times. Validity refers to how well the test measures what it is intended to measure. An IQ test is considered valid if it predicts grades in school.
IV.THE INTELLIGENCE CONTROVERSY
A.Extremes in Intelligence – The validity of intelligence testing is explored for measuring the extremes in intelligence - mental retardation and giftedness. Mental retardation is defined as an IQ less than 70 and has significant deficits in adaptive functioning. The causes of mental retardation include both genetic and environmental. Giftedness includes people with especially high IQs often including only the top 1 or 2%.
Research Highlight: How Do We Explain Differences in IQ? - Research into the influences of biology and genetics on intelligence reveals the importance of brain size and efficiency. The results of the powerful Minnesota Study of Twins Reared Apart strongly emphasize the influences of heredity.
Gender and Cultural Diversity: Are IQ Tests Culturally Biased? - IQ Test scores are influenced by both environment and heredity. The gender and cultural diversity section explores the controversial book—The Bell Curve by Hernstein and Murray. The problem of African-Americans and other minorities scoring lower than whites on IQ tests is discussed. Lowered school success for many children can be traced to lack of school readiness and language barriers. Programs such as Head Start combat these problems by providing early education for low-income children.