Comprehensive Study Notes on Behaviorism, Cognitivism, and Information Processing Theory
Behavioral and Cognitive Foundations of Learning
Behaviorism vs. Cognitivism: Definitions and Distinctions
Behaviorism: Learning is viewed as an automatic process that occurs through experience or being taught (conditioning). It is characterized by an observable change in behavior.
Cognitivism: Learning happens via the brain's mental processes, including thinking and understanding. It is characterized by changes inside the mind, such as adjustments in neurotransmitters.
Reinforcers and Punishers:
In Behaviorism: These directly change behavior.
In Cognitivism: These influence thinking and motivation.
Research Focus:
Behaviorism: Often uses animals to discover general laws of learning.
Cognitivism: Focuses on human development and diverse learning contexts.
Fundamental Assumptions and Behavioral Principles
Equipotentiality: The assumption that the same learning principles apply to many different behaviors and across different species of animals.
The Stimulus-Response (S \u2192 R) Model: Behaviorism studies learning as a relationship between a Stimulus ($S$, something happening in the environment) and a Response ($R$, the behavior that follows). Example: Teacher asks a question ($S$) \u2192 Student answers ($R$).
Internal Processes: Learning is said to happen solely outside the mind; internal mental processes are largely ignored.
Tabula Rasa (Blank Slate): Organisms are born as blank slates; all learning results from environmental events (conditioning/determinism).
The Parsimony Principle: When multiple explanations exist for a phenomenon, the simplest explanation that fits the evidence is preferred.
Law of Contiguity: When two things occur together in time or place, an association is formed. Example: If a friend always wears red, you are surprised when they do not.
Law of Effect: Any behavior followed by a favorable event is more likely to be repeated. Example: Using a new study technique and getting a good grade leads to using that technique again.
Conditioning and Reinforcement Models
Classical Conditioning (Respondent Learning)
Mechanism: Learning through association ($S \u2192 R$).
Major Figures: Ivan Pavlov (dogs) and J.B. Watson (rats).
Functional Components:
Unconditioned Stimulus (UCS): Something that naturally and automatically triggers a response (e.g., food).
Unconditioned Response (UCR): The natural, automatic reaction to the UCS (e.g., salivating).
Neutral Stimulus: Something that does not naturally cause a response before learning occurs (e.g., a bell).
Process: A bell rings before food repeatedly ($A \rightarrow B \rightarrow C$); eventually, the bell alone causes salivation.
Instrumental Conditioning (Operant Learning)
Mechanism: Learning by consequences; behavior is shaped by what follows it ($R \u2192 S$).
Skinner's Three-Term Contingency Model:
A = Antecedents: Discriminative stimulus (e.g., an upcoming test).
B = Behavior: The response (e.g., studying).
C = Consequences: The resulting stimulus (e.g., a good grade).
Forms of Reinforcement
Primary Reinforcers: Satisfy basic biological needs (Food, water, shelter, sex). No learning is required for these to be rewarding.
Secondary Reinforcers: Gain value through association with primary reinforcers (Money, praise, grades, tokens). Money is valuable because it buys food.
Intrinsic Reinforcers: Rewards from the act itself (Feeling proud, enjoyment of a puzzle, satisfaction from helping).
Extrinsic Reinforcers: External rewards given after the behavior (Money, stickers, trophies, praise from a boss).
Common Behavioral Phenomena
Superstitious Behavior: Repeating a behavior because it coincidentally seems to produce a desired outcome, despite no causal link.
Shaping: Reinforcing successive approximations of a desired behavior until the full behavior is achieved.
Chaining: Linking a sequence of individual behaviors into a complex routine; each behavior acts as a cue for the next.
Extinction: The gradual weakening and disappearance of a learned behavior when it is no longer followed by a reinforcer.
Social Cognitive Theory
Core Principles
People learn by observing others.
Learning is an internal process that may or may not manifest as an immediate behavior change.
Reinforcement and punishment have both indirect and direct effects.
The learner must be motivated and see a purpose for learning (internal motivation vs. external events).
Reciprocal Causation Theory
Interaction of three variables: Person (characteristics, cognitive processes), Environment (immediate stimuli, feedback), and Behaviour (observable actions).
Person \u2192 Behaviour: Believing you can succeed increases effort.
Behaviour \u2192 Person: Doing well in a task increases self-confidence ($I \text{ am capable}$).
Environment \u2192 Person: Teacher encouragement boosts confidence.
Person \u2192 Environment: A motivated student asks questions, changing the classroom dynamic.
Environment \u2192 Behaviour: Peers studying makes the individual more likely to study.
Behaviour \u2192 Environment: Class participation leads to more teacher attention.
Modelling and Observational Learning
Prestige: Higher status or respected models are more likely to be imitated.
Vicarious Reinforcement: Learning by seeing others rewarded.
Facilitation Effect: Observing a known behavior triggers the learner to perform it.
Inhibition Effect: Seeing someone punished reduces the likelihood of the behavior.
Disinhibition Effect: Seeing someone not punished for a prohibited behavior increases the likelihood of performing it.
Necessary Conditions for Modelling:
Attention: The learner must attend to the model.
Retention: The behavior must be coded and stored.
Motivation: The learner must want to perform the behavior.
Motor Reproduction: The learner must be physically capable of the action.
Socio-Cultural Theory
Key Concepts (Vygotsky)
Sociocultural Theory: Learning occurs through social interaction, language, and cultural tools.
Zone of Proximal Development (ZPD): The "sweet spot" of tasks a learner cannot do alone but can achieve with help.
Scaffolding: Temporary support (hints, prompts) provided by an expert to help a learner in the ZPD. Support is removed as independence grows.
More Knowledgeable Other (MKO): Anyone with more expertise (peer, teacher, coach).
Mediation: How language and tools shape thinking.
Internalisation: The process where social activities become part of an individual's private thinking.
Social Constructivism: Knowledge is built collectively through shared activity.
Learning Contexts
Community of Practice: Group learning through shared activities (e.g., scientists, gamers).
Legitimate Peripheral Participation: Newcomers starting with low-risk tasks and moving toward full participation.
Cognitive Apprenticeship: A learner develops skills by working with an expert who makes their mental processes visible.
Situated Learning: Learning is tied to the specific activity, tools, and setting where knowledge is used.
Self-Speech (Private Speech): Kids talk out loud to guide themselves; this eventually becomes silent inner speech. It makes thinking visible.
Transfer and Problem Solving
Transfer of Learning
Transfer: Applying prior learning to new situations.
Near Transfer: Applying knowledge to a very similar situation (e.g., using a math formula on a homework problem).
Far Transfer: Applying knowledge to a completely different context (e.g., using math logic to budget real-world finances).
Problem Solving Dynamics
Strategies: Trial and error, logical reasoning, breaking problems down.
Mental Set: Approaching a problem using only methods that worked in the past (habitual thinking).
Functional Fixedness: Seeing an object only for its usual purpose (e.g., seeing a paperclip only for paper, not as a lock-pick tool).
Types of Problems
Well-defined: Clear end result, specific procedure, measurable standard. Example: Calculating the $25\%$ discount on jeans costing $\$110.00$.
Ill-defined: Ambiguous goals, no guaranteed strategy. Example: "How do we differentiate art from vandalism?"
Traits of Expert Problem Solvers
Categorize problems based on core principles rather than superficial features.
Spend more time analyzing and planning before attempting solutions.
Possess automatic knowledge and use a forward sub-goal approach.
Demonstrate strong metacognitive abilities (abandoning inefficient strategies).
Information Processing Model (IPM) and Memory Store
The Dual Store Model Components
Sensory Register: Briefly holds raw information from senses.
Iconic Memory (Visual): Duration approx $0.5\,s$.
Echoic Memory (Auditory): Duration $2-4\,s$.
Working Memory (WM): The active thinking space.
Capacity: $7 \pm 2$ items ($5$ to $9$ units).
Chunking: Grouping pieces of info into integrated units to increase WM capacity.
Duration: $3-30\,s$.
Phonological Loop: The auditory internal voice that repeats information.
Central Executive: Controls attention, prioritizes information, and coordinates thinking.
Long Term Memory (LTM):
Capacity: Estimated at $2.5$ petabytes (approx. $1,000,000$ gigabytes).
Duration: Relatively permanent.
Types of Knowledge
Declarative Knowledge: Knowing "that." Facts, data, and concepts (e.g., water boils at $100^{\circ}C$). Can be Semantic (facts) or Episodic (personal events).
Procedural Knowledge: Knowing "how." Performing skills and actions. Often becomes automatic and implicit over time.
Conditional Knowledge: Knowing "when and why." Understanding the context for using specific skills.
Explicit Knowledge: Conscious and verbalizable facts.
Implicit Knowledge: Automatic knowledge used without awareness (e.g., typing or balance).
Cognitive Load Theory
Intrinsic Load: The natural difficulty of the task; cannot be changed.
Extraneous Load: Unnecessary difficulty caused by poor design or distractions.
Germane Load: Useful effort spent building schemas.
Memory Processes: Storage and Retrieval
Storage as a Constructive Process
Saccades: Quick eye snapshots ($4-5$ per second) stitched together by the brain.
Meaningful Learning: Connecting new stimuli to existing Schema (mental frameworks).
Internal Organization: Interconnecting information through schemas.
Elaboration: Adding detail/connections to make info more memorable.
Generation Effect: Information is better remembered if actively produced by the mind rather than passively received.
Factors Influencing Storage
Priming: Exposure to one stimulus biases the response to another.
Halo Effect: Positive perception in one area leads to assuming positive traits elsewhere.
Horns Effect: Negative traits in one area lead to negative assumptions elsewhere.
Verbalization: Self-explanation or writing facilitates storage.
Distributed Practice (Spacing Effect): Spreading learning over time is more effective than massed practice (cramming).
Retrieval and Forgetting
Spreading Activation: One memory triggers related ones automatically.
Encoding Specificity: Retrieval is better when cues match those present during encoding (Context-dependent vs. State-dependent).
Measures of Retrieval: Free recall (no cues), Cued recall (hints), Recognition (multiple choice), and Relearning (time saved).
Theories of Forgetting:
Decay: Fading of unused memories over time (Ebbinghaus Forgetting Curve).
Proactive Interference: Past learning interferes with new learning (typing an old password).
Retroactive Interference: New learning interferes with old memories (forgetting old dance moves after learning new ones).
Misinformation Effect: Incorporating misleading info into a memory.
Source Amnesia: Forgetting where a piece of information came from.
Conceptual Learning and Organization
Concept Formation
Concept: A mental grouping of similar objects or events.
Concrete Concepts: Identified by physical features (e.g., dog, chair).
Abstract Concepts: Based on non-observable similarities (e.g., kinship, relationships).
Prototype Theory: Comparing items to a single mental summary (an average example).
Exemplar Theory: Storing many specific examples and comparing a new item to all of them.
Hierarchical Structures
Schema: A connected set of ideas about an object or person (e.g., a "dog schema" includes fur, barking, and four legs).
Script: An event schema involving a set sequence (e.g., a "restaurant script" includes being seated, ordering, eating, and paying).
Gestalt Psychology
Core Belief: "The whole is more than the sum of its parts."
Law of Proximity: Grouping things that are close together.
Law of Similarity: Grouping things that look alike.
Law of Closure: Filling in missing parts to see a complete whole.
Law of Pragnanz: Perceiving things in the simplest, most stable form (e.g., seeing five circles in the Olympic rings).
Case Study Analysis: Applications of Educational Psychology
Case: Marie (Attention/Metacognition)
Problem: Trouble concentrating despite using metacognition to notice the issue.
IPM Link: Attention did not effectively select info from sensory memory; it never reached working memory.
Load: Dealing with extraneous load; surface-level processing (looking without understanding).
Case: Melony (LTM/Transfer)
Problem: Rote repetition fails for large volumes of music theory; cannot transfer theory from piano to other keyboards.
Analysis: No schema building; high intrinsic load; info decays quickly because of shallow encoding.
Strategy: Use Distributed Practice and Retrieval Practice (self-testing) to strengthen LTM traces.
Case: Alice (Interference/Processing)
Problem: Prior knowledge conflicts with new university definitions.
Analysis: Proactive interference; Top-down processing (using old schema to wrongly interpret new terms). Metacognitive failure in relying on verbatim notes.
Strategy: Elaboration (adding personal meaning) and Chunking (organizing concepts into groups).