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Information Processing Assumptions
Thinking is about the flow/processing o information
Rather than focus on stages, they focus on how we mentally act on info to know it…
We conduct operations on an external stimulus or on something in our heads
We consider core constraints especially memory and resource allocations
Development occurs via advances in information treatment and strategy development
Information Processing System
The classic IP cognitive architecture:
Sensory
Short-term
Long-term
Sensory
Sensory Memory - visual and auditory modalities; rapid fraction of a second storage
Fully developed by 5 yrs / “adult-like”
Short-Term
Working memory - home of “active thinking”; use of sensory information + information in long term memory in order to “transform” that information into new forms
3-7 “items” / “units” / “chunks”
15-20 second degrade time
Rehearsal (especially for words/numbers)
Rapid development from 5-10 years of age
Long-Term
Long-term memory - children’s early form of LTM is often “episodic”
LTM is episodic, declarative and procedural
No outer limit of amount of info or length of time stored
Not an “all or nothing” system
Information Processing Process
There is a continuum of mental processes based on “effort”
Automatic/automatization (no STM needed; won’t interfere with other processes)
E.g., children as young as 5 years are as strong young adults on auto recall of frequency of info (imp for word/language learning and concept formation)
Effortful (need STM/LTM; subject to interference; improves with practice)
Effortful processing helps advance children’s executive function - the planning and monitoring what we attend to (prefrontal cortex)
A form of metacognition
Under voluntary control
Can require inhibition of resistance to interference (staying on task…)
Information processing Encoding
To retain (or “encode”) information, we must attend
Children’s memory is initially “weaker” as they don’t know what to attend to
Social case for the role of attention
Consumes limited resources
Control like a “spotlight”
Infant attention (~1 & 2 years) predicts childhood attention (~3 & 5 years)
Relationship to action (motor)
Discussed in the context of hab-Dishabituation
Consumes limited resources
Control is like a spotlight
Infant attention (~1 & 2 yrs) predicts childhood attention (~3 & 5 yrs)
Information Processing Attention
Special case for the role of attention
Bridging Piaget with IP is to highlight the relationship of thinking (cognition) to acting (motor)
Action = cognition (Piaget)
Cognition = action (NeoPiagetian)
Why infants/children can’t drive scooters or cars
Thoughts mapped onto the body
A-not-B task (object permanence)
A-not-B Task
Hide under A multiple times (infant finds toy so clearly has OP mastered)
Hide object under B
Infant under 10 months fail to seek object at B
Piaget suggested they lack the complete “schema” for OP until 12 or later (closer to preoperational
» IP explanation?
Over attention to A (repeated “build up” of resourced directed to A)
Failure to inhibit information (old location) linked under-development prefrontal lobe
Failure to reflect/update previous knowledge (metacog)… “I know it, but acted incorrectly”
Motor perseveration/habit
Information Processing - Additional Features
IP theories general focus on:
Speed of working memory
Strategy construction
Attentional automaticity
Redundancy elimination
Language input/parameters
Image/schema mapping
Brain based evolutionary input [math-models]
Novice-to-expert shifts
Robbie Case Neo-Piagetian Theory
4-stage theory
Transition processes that advance change/development
4-Stage Theory
Sensorimotor (sensory and physical movements… e.g., see-then act)
Representational (concrete internal images… e.g., see, create internal image, produce image, act)
Logical (representing stimuli abstractly… e.g., know that 2 friends don’t get along… tell them that they can have more fun if they do)
Formal operations (complex transformations… child works on building better relationships feeling to enhance friendship…)
Transition Processes That Advance Change/Development
Working Memory Capacity helps determine cognitive advances
Automatization in the critical “glue” that distinguished changes in the working memory capacity
Biological Maturation - pervasive changed in frontal lobe activity
Production-System Theories
AIM to provide a more precise/technical explanation of cognitive change (development)
Largely a computer-simulated approach
Two Steps of “Channels”
The basic premise is that children develop cognitive skills in different orders - each child detects information (for problem solving) at different times
There is no “Lock Step” stage-like model (more fluidity between systems)
Children are continually assessing information determining what is relevant via a “self-modification” process across the production and working memory
Two Steps of “Channels”
Production memory (the systems general knowledge) has a condition (goal) & action (what to do) components (The knowledge we currently have)
Working memory (Current task/thinking)
In Summary, Production Models Are:
Based on declaritive (factual input only)
Use if/then statements (production rules)
Driven by goal-based production memory
Monitored via working memory (current task)
Not “named” theories per se, but an advanced frame for studying CogDev (especially for language development
Connectionist Theories
Knowledge is embodied in patterns of connections (units) that specify information (sound, shape, colour, category, etc.)
Model the neuroanatomy of the brain (cells/action-potentials)
Interconnections occur in parallel (at the same time) with each “unit” co-dependent on each other
Cognitive change (development) occurs as each unit gains new information (experience) → change in connection weights
To study early perceptual knowledge, language, reading, ability, problem solving, social cognition, etc.
E.g., Samuelson’s model for early word learning
Samuelson’s Model for Early Word Learning
Children generalized names for objects to other objects similar in one feature ingnoring other features
Her model shows how children generate a shape bias in word learning that is based on repeated presentations (experience) vs built in proclivitives
Tested her “theory” in the lab manipulating the amount of experience (practice)
Socio-Cultural Theories
“Cognition does not take place in a vacuum”
Piaget and the IP theories place the child and the neurocognitive system at the centre of knowledge production
Socio-cultural approached place the context of child at the centre of knowledge production
Obviously, BOTH are essential
Lev Vygotsky
Cognition is achieved via social interaction
Psychological advances are shaped via ‘cultural tools’ namely language
Change = internationalization of ‘socially shared processes’ (“embodying the intentions of others…”
Social interaction is causal (not just correlation)
Textbook examples: Pointing, shoe tying
Zone of proximal development (ZPD = child’s contribution + child & adult’s contribution)
In addition to the social influence, children also need cultural tools:
Language
Visual aids (maps/diagrams, number systems)
Technical tools (physical devices)
Tools unique to specific cultures (child rearing, physical environment)
Albert Bandura
Social-observational learning creates a cognitive outcome: learning
Process Steps:
Attentional
Retention (visual maps under 5 yrs, words after 5 yrs)
Motor reproduction
Motivational process
Self-efficacy appraisal (early self-monitoring)
Bandura - children don’t so much “learn on their own” - their minds are structured by ‘reciprocal influences’ of the environment (models / social-training practices)
We need to motivate children to learn (“teach them”) - then they become self-motivated
Modern Socio-Cultural Approaches Incorporate
Socio-economic factors
Socio-emotional awareness
Shared understanding (joint attention) with others (intersubjectivity)
Social/educational practiced (types of formal education models)
Formal “play” or organized extracurricular activities (incorporate peer-on-peer interaction)