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Human vs. Animal Communication
Many animals communicate (e.g., vervet monkey alarm calls, mate call recognition in birds, odor recognition in insects), but human language is uniquely symbolic (words represent ideas) and generative (finite sounds → infinite meanings)
Generativity in Language
A small set of phonemes + grammar rules creates an infinite number of possible sentences and ideas
Symbolic Property of Language
Words represent objects, actions, and abstract concepts (e.g., “dog,” “object permanence”), allowing flexible thought and communication
Levels of Language Structure
Language has hierarchical structure: phonemes → words → syntax/grammar → pragmatics
Universal Pattern of Language Development
Regardless of culture or input variation, children follow similar milestones in the same order; language development is robust and does not require explicit teaching
Speech Perception at Birth
Newborns can distinguish between languages and prefer the language heard in utero, indicating language learning begins before birth
Phoneme Discrimination in Infancy
Infants begin life able to discriminate all ~200 phonemes in human languages; by 6–8 months this narrows to the phonemes in their native language(s)
Categorical Speech Perception
By 1 month, infants perceive sounds like b vs. p categorically based on voice onset time, similar to adults
Effect of Experience on Phoneme Tuning
Exposure to native-language speech shapes which phoneme contrasts infants retain; certain kinds of experience (especially social interaction + audio/visual cues) matter for maintaining non-native discrimination.
Early Word Understanding
Infants as young as 6 months understand common words (Bergelson & Swingley, 2012) even before producing any, shown through longer looking at the named object.
Language Development Big Picture
Infants are biologically prepared for language: they discriminate languages, tune phonemes over the first year, and understand words before speaking
Domain-General Language Theory (Behaviorism)
Skinner's view that children learn language via reinforcement, imitation, and associative learning
Domain-Specific Language Theory (Chomsky)
Proposes a specialized Language Acquisition Device (LAD) that equips infants with innate rules and structures for learning language
Evidence Against Domain-General: Novel Utterances
Children say things they’ve never heard (“allgone cookie,” “it broked”), showing they don’t just imitate adults
Evidence Against Domain-General: Rule Use
Children apply grammatical rules to novel words (e.g., “wugs”), showing internal rule generation rather than memorization
Overregularization
Applying grammar rules in contexts where they don't apply (e.g., “goed”). Shows children are actively learning rules
Gavagai Problem
A single word could refer to many things (object, part, color…). Children solve this using innate assumptions
Whole Object Assumption
Children assume new words label whole objects rather than parts/features
Mutual Exclusivity Assumption
Children assume each object has one label; a new label must refer to a different object or feature
Using Social Cues for Word Learning
Toddlers use adults’ gaze and emotional expressions to infer the meaning of new words
Critical/Sensitive Period for Language
Language learning is easiest early in life. Extreme deprivation (e.g., Genie) leads to failure to acquire grammar; second-language learning declines after ~age 8
Sign Language Myths Debunked
Sign languages are full natural languages, not drawings in the air; there is no universal sign language; deaf people are not impaired cognitively
Iconicity in Sign Language
Some signs visually resemble their meanings; however, iconicity doesn’t make signs significantly easier for infants to learn—infants treat signs as symbolic, like spoken words
Creation of New Languages
When groups of signers interact (e.g., Nicaraguan Sign Language), children transform inconsistent systems into full languages through social interaction
Language Learning Big Picture
Children rely on domain-specific mechanisms, critical periods, universal developmental patterns, and social interaction—language is broader than speech
Vocabulary in Bilinguals
Bilinguals often score lower in each individual language but have equal or larger total vocabulary across both languages.
Mutual Exclusivity in Bilinguals
Bilinguals rely less on the assumption that objects have one label; trilinguals rely on it even less
Metalinguistic Awareness Advantage
Bilinguals understand earlier that words are arbitrary labels; they more easily accept renamed objects in pretend games
Phoneme Discrimination Advantage
Bilingual infants maintain discrimination for phonemes in both languages and are better at distinguishing unfamiliar phonemes later
Executive Function Benefits
Bilinguals practice inhibiting one language while using another, strengthening inhibitory control, selective attention, and working memory
Dimensional Change Card Sort Task (DCCS)
Requires switching rules; bilingual children perform better due to enhanced inhibition
Infant Executive Function
7-month-old bilingual-exposed infants show advantages in rule-switching, as measured by anticipatory gaze (Kovacs & Mehler, 2009)
Bilingualism and Aging
Bilingual adults receive Alzheimer’s diagnoses later and maintain cognitive function despite more brain atrophy (Bialystok et al., 2012)
Social Benefits of Bilingualism
Bilinguals track who speaks which language and code-switch appropriately; they show better perspective-taking in communication tasks
Exposure Without Fluency
Social benefits (like perspective taking) occur even with exposure to multiple languages, not only active fluency
Bilingualism Big Picture
Bilingual children learn language differently, show early metalinguistic understanding, retain strong phoneme discrimination, exhibit executive function benefits, and perform better in social communication tasks
Balanced Bilinguals
Individuals who have high fluency in two (or more) languages, usually with relatively equal proficiency. They can understand, speak, and often read/write both languages at near-native or native levels
Unbalanced Bilinguals
Individuals who know more than one language but have a clear dominant language. Their proficiency is stronger in one language compared to the other(s), and exposure or use is uneven across their languages
Brilliance Stereotypes in Academia
Fields believed to require “innate brilliance” have lower proportions of women and Black individuals; this trend is not about STEM vs. non-STEM (e.g., philosophy and music composition also show large gender gaps)
Parental Stereotypes about Brilliance
Parents are twice as likely to search online for “is my son gifted” compared to “is my daughter gifted,” indicating gendered assumptions about innate intelligence
Children’s Brilliance Stereotypes
By age 6, boys tend to associate brilliance with their own gender, while girls associate their own gender with niceness
Individual Differences
Stable variations in traits across individuals; studied to understand why children differ, inform interventions, identify at-risk children, and explore how genes and environments shape development
Behavioral Genetics
Field studying how genetic and environmental differences lead to variation in behavior across individuals
Sources of Individual Differences
1) Genes (heritability)
2) Shared environment (experiences shared within a family)
3) Non-shared environment (individual experiences that differ even within the same family).
Heritability
The proportion of variation in a trait within a population that is explained by differences in genes
Genetic differences between individuals contribute to differences in traits
Family Studies in Behavioral Genetics
Twin, sibling, and adoption studies compare shared genes and shared environments to determine contributions to traits like intelligence
Shared Environment
Environmental factors that make individuals raised in the same family more similar (e.g., parenting style, SES, home resources). Increases similarity among siblings
Non-Shared Environment
Experiences that differ between siblings (e.g., different peer groups, teachers, illnesses). Makes siblings less similar
Identical (MZ) Twins
100% shared genes
High shared environment
-Used to estimate genetic influence because they are most similar genetically
Fraternal (DZ) Twins
50% shared genes (same as non-twin siblings)
High shared environment
Comparing fraternal vs. identical twin similarity reveals genetic contributions
Non-Twin Siblings
50% shared genes
Moderate shared environment (less shared than twins because twins share age, peers, timing)
Lower similarity vs. twins helps separate environmental timing/demands from genetics
Carroll’s General Intelligence (g)
A broad, general mental ability that influences performance across many cognitive tasks
Gardner’s Multiple Intelligences
Theory proposing distinct, independent types of intelligence (e.g., logical, musical, interpersonal) that may guide career interests
Intelligence Tests
Assess a range of cognitive tasks, compare performance to age norms, and score results using a normal distribution
Causes of IQ Differences
Both genes and environment contribute; identical twins raised together have the highest IQ similarity, followed by fraternal twins, then siblings
IQ Heritability
About 50% of IQ variation is explained by genetic differences; the rest is explained by shared and non-shared environments
SES Effects on IQ Heritability
Low-income families: environment dominates; genetic effects are small.
High-income families: environment is uniformly supportive; genetic differences account for most IQ variation
IQ as Predictor
IQ correlates with academic achievement but is not the strongest predictor; self-discipline and executive function predict success as well or better
Theory of Mind
The ability to understand others’ actions in terms of beliefs, desires, knowledge, and intentions
Agents
Entities that can move on their own, perceive the environment, and interact based on internal mental states. Includes people, animals, and things that appear to have self-directed, goal-oriented behavior
Objects
Non-agent entities that behave according to physical laws (e.g., gravity, inertia). They do not move on their own and do not have mental states or goals.
Understanding Others’ Goals (Infants)
By 6 months, infants interpret agents’ actions as goal-directed (e.g., hand reaching), but not non-agents (e.g., claws
Rational Imitation
18-month-olds imitate a person’s intended goal, not just the physical motion, and do not imitate machines the same way
Conflicting Desires
Around 18 months, infants understand that others can want something different from themselves
Pretense
Begins around 18–24 months; requires children to separate real states from imagined mental states
False Belief Understanding
Tests whether children understand that others can hold beliefs that differ from reality; 3-year-olds fail, 4-year-olds pass
Deceptive Box False Belief Task
Children must report their own past false belief and predict another person’s false belief; 3-year-olds fail, 4-year-olds pass
Look-First Procedure / Posting Procedure
Simplified false-belief tasks reduce inhibitory demands, enabling many 3-year-olds to pass
False Belief in Infancy
15-month-olds show surprise when an agent acts inconsistently with their false belief, suggesting early belief understanding
Theory of Mind in Autism
Autistic children often fail false-belief tasks despite passing matched non-mental tasks (false photograph), indicating selective difficulty with belief reasoning
Competence vs. Performance in Theory of Mind
Younger children (and autistic children) may know more than they can show due to task demands (e.g., inhibition, attention)
Piaget and Kohlberg
Thought that we can study morality by looking at children’s explicit reasoning and justifications about moral situations
Both creates stage theories of moral development
Piaget’s Theory of Moral Judgement
Studied children’s moral reasoning using open-ended interviews about rule violations. His theory focused on how children’s understanding of rules, intentions, and punishment develops with age. He argued that young children treat rules as fixed and focus on outcomes, while older children understand that rules are social agreements and consider intentions when making moral judgments
Kohlberg’s Theory of Moral Judgment
Expanded on Piaget by focusing on children’s justifications for moral decisions rather than the decisions themselves. Using dilemmas like the Heinz scenario, he created a stage theory describing how moral reasoning progresses from avoiding punishment, to seeking social approval, to using universal ethical principles. His theory emphasized why people think an action is right, not just what they decide.
Moral Realism
Piaget Stage 1: Under 7 years
Rules are seen as fixed and unchangeable
Morality is based on outcomes, not intentions
Punishment is determined by authority figures
Transitional Period
Piaget Stage 2: 8-10 years
Increased peer interactions teach children that rules are created by people.
Understanding that rules can be negotiated and changed.
Beginning to consider intentions.
Moral Relativism
Piaget Stage 3: 11+ years
Rules are products of social agreement and can be modified.
Morality considers intentions more than outcomes.
Punishment should be “fair” and fit the situation.
Preconventional level
Kohlberg’s Stages 1 & 2
Rules should be followed because they are rules, avoid punishment
Conventional level
Kohlberg’s Stages 3 & 4
You should do things so that people see you as “good”
Postconventional / Principled Level
Kohlberg’s Stages 5 & 6
Universal principles (e.g., equal human rights) should be followed
Moral vs. Conventional Rules
Preschoolers treat moral violations (harm) as more serious than conventional ones (social norms), contradicting Piaget & Kohlberg
Considering Intentions
Young children and infants use intentions to evaluate others’ actions long before age 11
Moral Evaluation in Infancy
Infants prefer helpers over hinderers, showing early moral evaluations
Early Helping
By 14 months, infants help others achieve goals, even at personal cost (physical or social)