Lec 2-3.5 Memory/ Goswami, Schneider, Steinberg Flashcards
1
Q
- cognition
- Piaget’s theory
- independent learning
- Stage: 0-2
- What is a major tool in the toolkit?
- Vygotsky
- vs Piaget/ diff? - 2 things
- How do children learn? - 2 ways
- Current view of cog dev
- Info processing theory
- Age and processing relationship
- Core knowledge theory
- Moral dev
- Circle-square task
- Conclusion
A
Cog dev: infancy
- Cognition: how we think and reason about the world
- Piaget:
- Stage theory
- Independent learning: Children are scientists, use their tool kit to explore
- Ex. 0-2 yo, sensorimotor period
- They develop language (a tool in the toolkit)
- Vygotsky:
- More continuous, not discrete stages
- Expanded his theory a bit into adulthood
- Social interaction drive children learning
- Learning is scaffolded by adults and older children
- Kids imitate behavior of ppl around them
- Theories in cog dev:
- 1 Current view: learning is explained by a combination theories
- Piaget’s stage theory of cog dev
- Sociocultural theory (mainly from Vygotsky; older adults teach children)
- 2 Info processing theory: humans are like computer, take input, process input, produce output/ behavior
- Processing improves as we age
- This is b/c neuron pruning and we have more practice
- Processing improves as we age
- Core knowledge theory (nativism)
- Genetically programmed knowledge
- ex. numbers – know difference b/w 2 vs 1 objects
- ex. innate understanding of physical laws - bb are surprised when they see strange things that do not obey physical laws
- Genetically programmed knowledge
- 1 Current view: learning is explained by a combination theories
- Moral dev
- bb (4-6 mo) hv complex ideas of what is good vs mean b
- Prefer nice character over mean
- Circle and square task: If square helped circle get up the hill, the bb recognize the square is good
- But we don’t know if they learnt that or if they are born w/ this understanding
2
Q
- 2 phases of cog dev after infancy
- 5 main domains that advance after infancy
- 2 cog dev processes in infancy that shape cog skills after infant period
- How does it help?
A
- After infancy, things get messier
- Many cog advances happen independently after infancy (Goswami, 2011)
- Ex. At first, they are better at everything (eg. math, physics, social reasoning, etc)
- Ex. for older children, a domain is improving, while other domains are not
- Domains that advance
- Memory
- Moral dev
- Spatial reasoning
- Physics
- Scientific reasoning
- cog dev processes in infancy that shape cog skills after infant period
- Memory (this wk)
- Advances in memory allows children to become better thinkers, understand and manipulate more about their env
- Inhibitory processes (next week)
- Memory (this wk)
3
Q
- when does the 2 major shifts in mem capacity happen?
- how do they change?
- mechanism of change - 2 characteristics
- x
- Mem structure
- ‘Hardware’ definition
- 3 parts
- how it works
- 3 parts
- Software definition
- 2 types of software
- 2 subtypes of strategies
- ‘Hardware’ definition
- Age, software, and hardware relationship
- exception
A
Mem dev: modern approaches
- mem capacity
- There are major shifts in pre-adol (i.e. b4 puberty) and pre-adult
- They increase, then suddenly jump in improvement
- mechanism of change - 2 characteristics
- These dev rapidly at diff ages
- They follow diff dev trajectories
Mem structure
- ‘Hardware’: encoded memories
- Sensory: lasts 1-2 s
- Ex. pain, vision, auditory
- Continuous firing of senses, brain processes some sensory info, which moves into STM
- STM aka WM
- Misconception: only about things that happen recently
- Processing/manipulate info
- Ex. hold series of #s in mind
- LTM
- If you can recall info, that info is in LTM
- Also includes mem from long time ago
- Sensory: lasts 1-2 s
- Software: ways that we use memories to manipulate env
- Strategies
- Rehearsal
- sorting
- Content knowledge
- Ex. chess expert can put the chess-related info into the mem faster than chess novices
- Strategies
- Hardware and software develop as we age (except sensory domain)
4
Q
- 2 types of LTM
- Special feature of procedural memory
- How to test implicit mem?
- Why is there less rs in implicit mem?
- Dev trajectory of implicit mem
- Berry et al 2014
- Process of perceptual priming task
- Results
- explicit mem
- implicit mem
A
LTM development
- 2 categories:
- explicit/declarative mem (facts, we can talk about it)
- Ex. capital of Canada
- Implicit/procedural mem (knowledge on how to do things)
- Ex. how to type on keyboard
- Note: you can have procedural memory in things we are not fluid in (ex. learn to ride a bike)
- explicit/declarative mem (facts, we can talk about it)
- Implicit mem dev
* Implicit LTM is tested w/ perceptual priming tasks
* Since it is tough to test, there is less rs in this domain than explicit mem dev
* Most rs show that implicit mem dev occurs early in infancy and does not dev much after early childhood
* Ex. perceptual priming task[EL1]- Perceptual priming tasks: we show faster recog of prev seen stimuli
- Berry et al 2014
- Show a series of image to child
- Child press a button once they know what the image is
- Results: older children are faster at recognizing the fragmented photo (explicit memory)
- But after exposure to the photo, even very young children experience a similar of priming
- Child press a button once they know what the image is
- IOW both improve at a similar rate
- 8 yo: b4 need 6 trials to see elephant -> after priming, it takes 4 trials
- 6 yo: b4 10 trials -> after priming, 8 trials
- They recog photo faster fi they have been exposed to it b4
- Implicit mem dev
5
Q
- episodic mem
- How to test it?
- 2 types of episodes in the testing
- Which type do children remember well?
- developmental changes (Knopf 1999)
- explicit mem
- implicit mem
- 4 vs 8 yo
- False mem and age
- Why does it happen?
- Hot air balloon study
- Method
- Result
A
- Explicit (declarative) mom dev
* Episodic mem: recall events
* Methods:- Tell them a story, then tell them to recall it
* Types of episodes that are tested - Habitual (script-based)
- Things that kids experience many times (ex. b-day party
- One-time (novel)
- Ex. moving
- Children remember both types of events well: they care about familiarity and novelty
- There are developmental changes (Knopf 1999)
- Ex. moving
- Implicit mem improvements are constant
- Explicit mem improvements a lot (more than 2x accuracy)
- 4 yo remember 20% of the story presented
- 8 yo remember 50% of the story presented
- Tell them a story, then tell them to recall it
- Explicit (declarative) mom dev
- In early childhood, the encoding memory process mixes up real and false memories
- As we age, we are better but can still have false memories
- Study: hot air balloon
- Method
- Adults’ parents convince their adult children they went on hot-air balloon child using photoshopped pictures
- Then adult children made up memories about this experience that was not in the pic
6
Q
- how to test episodic mem?
- When does a jump in episodic mem happen?
- Infantile amnesia
- When do we 1st acquire autobio mem?
- Why does infantile amnesia happen? - 2 major reasons
- Why is that ability important?
- Memory structure - why is it NOT a reason?
A
Autobiographical mem
- Studies of episodic mem involve
- Expose child to stimulus -> test them later
- (ex. expose them to habitual/novel events; ask them to recite them back)
- Kids remember both well
- 4-8 yo – huge jump on what they can remember
- Autobiographical mem: special type of episodic mem that happened to you
- When do we 1st acquire autobio mem?
- Infantile amnesia: can’t remember things b4 3 yo
- Trick qs
- Although we don’t have good memories, we still autobio mem earlier than 3 yo
- Study: Expose bb to stimulus, ask them to come back; they still remember it
- NOTE: there are also exceptions
- Why does infantile amnesia happen?
- Reasons: lack of language abilities
- Language is a tool for us to encode memories
- Bb don’t know language yet, so they can’t encode memories as well as adults
- Self awareness
- Bb don’t have self-awareness, they encode things differently
- As dev, they are aware of themselves and other’s experience differ from theirs
- So as we are older, we encode memories as a personal narrative
- NOT memory structure
- Bb do encode, and can recall memories
- They used a less efficient strategy
- Issue: as adult, we have trouble recalling those memories
- Reasons: lack of language abilities
7
Q
- why does LTM dev w/ age? - main reason
- 3 reasons for the main reason
- paper mail analogy
- child chess expert example
- reason for faster processing speed
- 2 tasks that test STM
- Process of sentence span task
- STM and age relationship
- 3 reasons for the main reason
A
Why does LTM dev w/ age?
- Reason 1: changes in STM
- We get better at recalling memories; STM stores maybe helping out LTM
- 1 Recall: strategies
- More efficient strategies -> better encoding for LT
- Analogy:
- Bunch of paper mail
- We want to organize it so we can use it later
- Strategy 1: shove everything in a drawer -> won’t be able to find it
- Strategy 2: put the mail in organized fashion -> easier to find later on
- 2 Kids content knowledge dev
- more content knowledge → Better at selecting what info is important (filter noise)
- Ex. content knowledge in chess helps organize positions of chess faster
- 3 Processing speed dev
- Due to more myelination → Stronger synaptic connections & (Hebb’s law) – use more, stronger connection
- Evidence for reason 1
- Sentence span and digit span tasks
- test children STM
- Sample: mem dev – sentence span
- Present sentence
- The rabbit was ready to leave his nest and he saw a fox approach
- It is supposed to be like summer
- I went to China to learn Mandarin
- Recall final word of each sentence you read
- Ans: approach, summer, Mandarin
- Present sentence
- Sentence span and digit span tasks
- Your WM goes down as you age, but you learn more strategies
- This makes up for it
8
Q
- mem span/WM dev trend
- Schneider et al 2009 – longitudinal study, word span task
- Methods
- Hypothesis
- Results
- overal trend
- age specific trend
- Issue w/ study
- Conclusion
- Schneider et al 2009 – longitudinal study; digit span task
- Results: # of words each age gp remembers
- 2 yo
- 5 yo
- 7 yo
- 9 yo
- adult
- Overall trend
- Results: # of words each age gp remembers
- WM span characteristic
- Schneider et al 2009 - novice adult chess player vs child expert chess player
- Results:
- digit span task
- chess piece task
- Results:
- 3 main factors that influence STM
- STM processing speed trend w/ age
- 2 main reasons
- info processing theory explanation
A
Memory dev
- Memory span/WM dev as a fx of age (as children)
- Progression is not linear
- Schneider et al 2009 – longitudinal study, word span task
- Y-axis: total # words remembered
- x-axis: W = waves -> ignore it; Look at the “Ages”
- Method
- Have 2 gps per age gp
- H: do kids older in their age gp do better than younger in age gp?
- Aug kids = 2010-2011
- Sept kids = 2011-2012
- Results
- Overall increase in WM
- Sig jump 7-8
- Sig Jump 10-18
- Issue: didn’t test every yr, tested in arbitrary # yrs
- Thus WM dev across childhood, sig jump in 7-8 yo and 10-18 yo
Digit-span task
- Schneider et al 2009 – longitudinal study; digit span task
- According to Schneider, how many digits is the typical 9-year-old able to recall?
- Ans: 6 digits
- 2 yo: remember 2 items
- 5 yo: 4 items
- 7 yo: 5 items
- 9 yo: 6 items
- Adults: 7 items
- # s you can remember for digit span task increase w/ age for children up till 18
- Then not much after that
STM capacity
- Advances in STM appear to be domain specific
- More knowledge a child has about a domain, better STM
- They are better to cut out noise and remember relevant info
- More knowledge a child has about a domain, better STM
- Ex. Schneider
- Child chess experts vs adult chess novices
- 1 Digit span task: child don’t have the same WM adult vs chess novices
- -> adults are better
- 2 Chess board arrangement task
- Child expert remembers locations of chess pieces better than adult novices
- Even though adults have better STM than kids, kids to better
- IOW: experience w/ chess helps child utilize info more efficiently
- IOW: mem dev is influenced by many factors
- Age, knowledge in the domain, language (a strategy to retrieve info)
9
Q
Schneder cont 4
- mem span task
- 3 main characteristics of WM
- Baddeley model of WM - 3 subcomponents
- When is the basic structure present?
- How to test WM - 2 steps
- 2 factors that cause differences in WMC
- Reason
- 2 reasons that increase processing speed
- Strategies
- sort-recall tasks
- Production deficiency
- 3 main reasons
- Dual task procedure
- Results
- Metamem
- Dual task procedure
- 3 main reasons
- 2 types of metacog knowledge
- fx
- 5 main findings
- How to acquire more prior knowledge - 3 ways
A
The role of basic capacities and WM
- mem span tasks: ppl repeat in order a series of rapidly presented items (ex. digits, words)
- Age diff in mem span are stable
* Study showed- 2 yo: 2 items
- 5 yo: 4 items
- 7 yo: 5 items
- 9 yo: 6 items
- Adult: 7 items
* Longitudinal study tested age 4-23 - There is cont span increase until age 18, no increase after
- Age diff in mem span are stable
- Memory span is the same regardless of type of info
- Background knowledge about the stimuli affects memory span and Info processing speed
* Study: Look at memory span of child chess experts and adult chess novices
- Background knowledge about the stimuli affects memory span and Info processing speed
- Dev of WM
- Baddeley model of WM - 3 subcomponents
- Central executive: Attentional control system, coordinate WM activities
- Visuospatial sketchpad
* Process and retain visual and spatial info
* Hold verbal info stored as an image
- Visuospatial sketchpad
- articulatory/phonological loop
* Temp store; maintains and process verbal and acoustic info (1-2 s)
* Decays fast; verbal info needs to be rehearsed by sub-vocal articulation
- articulatory/phonological loop
- Basic structure of this WM model is present at 6 yo
- WM tests are similar to memory-span tasks
- 1 Ppl remember a series of items in exact order
- 2 But there is another task: ppl transform info in the STS
- WM tests are similar to memory-span tasks
- Factors that influence WMC
- culture
* # words differ in length in diff languages: Chinese # words are shorter than Eng # words, Welsh #s are longer than Eng
* Chinese children have longer digit span > US > Welsh
- culture
- faster info processing speed → higher WMC
* This speed increase in early age and plateau
* Due to maturational and knowledge factors- 1 Mature - synaptic pruning
- 2 knowledge: span of apprehension increased w/ age
- Span of apprehension: amount of info that ppl can attend to at a single time/ # of items ppl can keep in mind at a time
- faster info processing speed → higher WMC
- Strategies
- Method: sort-recall tasks
- Children are given a list of items that can be categorized (ex. dairy, vegetables)
- recall the items later on
- Method: sort-recall tasks
- Strategies
- production deficiencies: fail to transfer acquired strategy to a new situation
- insufficient mental capacity
- Rs: dual task procedures
- Children perform 2 tasks separately and together
- Result: young children need more mental effort than older ones to learn and use mem strategies
- Background knowledge
- Rich knowledge -> faster at processing domain-related info -> less mental energy used to execute a strategy using this info
* 3. use strategies: younger → don’t use them
* 4. Lack metamemory - Metamem: knowledge about memory processes and contents
- They don’t learn about mem, but have tasks that need memory strategies
- Rs: dual task procedures
- insufficient mental capacity
- metacog: 2 broad categories
- Declarative metacog knowledge: Explicit knowledge
* Ex. person variables (ex. age, IQ), task characteristics/difficulty, strategy knowledge
- Declarative metacog knowledge: Explicit knowledge
- Procedural metacog knowledge: implicit; self-monitor/regulating when solving mem problems
- 5 main findings
- declarative metacog knowledge increase w/ age
* many ppl know little mem strategies
- declarative metacog knowledge increase w/ age
- Procedural metacog knowledge
* Older- better at predicting performance
- better at monitoring their progress in memory task
- Procedural metacog knowledge
- Spend less time solving problems
- better meta-memory → better memory behavior
- prior knowledge
* more prior knowledge- → recall more, efficient use of strategy
- Expert-novice paradigm
- prior knowledge
- How to acquire rich knowledge
- Cog abilities/ mem capacity
- Interest and motivation
- more practice
10
Q
STM
- strategies
- “potentially conscious”
- 2 situations we use strategies
- how does it work in each situation?
- 3 main strategies
- utilization deficiency
- 4 stages of strategy dev
- less than 5 yo
- After kindergarten
- late elementary school
- After that
A
Dev of STM: strategies
- Strategies: mental/ b activities that achieve cog purposes and are effort consuming potentially conscious and controllable
- “Potentially conscious”: Strategies are employed somewhat unconsciously, w/o us paying a lot of attention to it
- When we use strategies
- Time of encoding (ex. put mail in drawer in organize way)
- 1 These strategies manipulate info in STM -> put in LTM
- Time of recall
- 2 During retrieval, need to use STM to recall the strategy you used
- Time of encoding (ex. put mail in drawer in organize way)
- Example of strategies: rehearsal, grouping, sorting (ex. alphabetize)
- utilization deficiency (UD): younger children need more time b4 executing it efficiently
- 1 Children younger than 5 don’t appear to use any explicit strategies
- 2 After kindergarten, children are instructed to use specific strategies, and can use them successfully
- Struggle to transfer them
- 3 Most strategy dev happen in later elementary school
- Occur very fast
- Can transfer them
- diff ages for diff children
- 4 then they use multiple strategies -> increase effectiveness of memory
11
Q
Goswami summary
- Schneider (ch 13)
- implicit vs explicit mem dev
- 2 factors that affect autobiographical mem
- 2 factors that affect WM
- Kaslowski and Masnick (ch 14)
- 3 factors that dev causal reasoning
- What are some models inaccurate?
- What is mechanism info?
- What is explanation
A
- Schneider (ch 13)
- brain systems for implicit mem are fully dev in early life
- Those in explicit mem system cont to dev
- social interactions and LT knowledge affect what is encoded for the experience in autobiography mem
- Memory span is influenced by strategies and prior knowledge
- Kaslowski and Masnick (ch 14)
- causal reasoning dev is influenced by background knowledge, explanation, and mechanism info
- Some models are inaccurate as they do not include background knowledge as a variable
- Mech info: When there are anomalies and “mech info” that suggest they are responsible, we modify the causal theories to fit them
- Explanation: evaluating how causally consistent it is w/ what we know
12
Q
Goswami summary cont 2
- Main factor that assist inductive and deductive reasoning
- 2 pathways background knowledge influence reasoning
- Relationships b/w inhibition and reasoning - Exception
A
- Goswami (ch 15)
- Child’s stored real-world knowledge assists inductive and deductive reasoning
- inhibition and successful reasoning
- the ability to inhibit irrelevant/competing knowledge helps us get to a successful solution for a problem
- Exception: Sometimes, children are successful in reasoning tasks b/c they have limited real-world knowledge and less irrelevant/competing knowledge to inhibit
- Background knowledge affect WMC, which in turn affects inductive and deductive reasoning
- The amount of background knowledge influences
- ability to inhibit info → reasoning
- WMC → reasoning
13
Q
Goswami summary cont 3
- Nucci and Gingo (ch 16)
- Past belief on moral reasoning development
- Current view
- Age and moral reasoning
- 2 main effects
- Which 2 brain areas are activated in moral reasoning
- Liben and Christensen (ch 17) – spatial dev
- classical empiricism
- biological approach
- Which brain part represent space
- Which hormone help this process
- Current view on how does spatial dev happen
- 3 types of space children investigate in
- How do they learn about the spatial env?
- Age and spatial dev relationship
- Reason
- What does learning about “representational space” takes more time to dev?
- When does representational space begin to dev
- 3 main tech that influence how we understand space
A
- Nucci and Gingo (ch 16)
- Past belief: moral reasoning develops through universal stages
- Rs: moral concepts varies among cultures, contexts (supportive vs abusive fam), and social rules
- Age underpins moral dev
- 1 Older children understand more complex morals (ex. reciprocity = fairness)
- 2 As in inductive and deductive reasoning, lack of real-world knowledge can help moral judgements
- Ex. 8 yo: it is wrong to keep money that is unknowingly dropped by someone else
- Ex. 16 yo: the situation is complex; he/she is obligated to return the money only when there is a bystander
- Rs: reasoning and emotions activate diff areas of the brain; both are used in making decisions
- Liben and Christensen (ch 17) – spatial dev
- Classical empiricism: we learn about the space around us
- Biological approach: we have innate knowledge on space
- Ex. dorsal visual stream established spatial location
- Ex. role of testosterone
- Current view: Both perspectives contribute to dev
- Children dev an understanding of space by investigating
- Env space (the space we live and move about)
- Representational space (referents for space: maps, models)
- Perceptual space: we get spatial info from our senses (hearing and touch, see)
- This info helps us understand where objects are in relation to ourselves
- Action is important for spatial dev: Ex. crawling, climbing, walking
- As kid grow older, children’s env/home ranges expand a lot
- Kid who have more personal control over their travel in their env have more spatial knowledge about these env
- Knowledge and understanding of “representational space” (ex. maps) dev slower
- This is b/c many conventions of representational space needs to be learnt
- Ex. red lines on map = roads
- 3 yo can demonstrate basic map skills
- recent technology dev that affect “the dev of knowledge about space”
- Ex. google earth
- Ex. satellite navigation systems
- Ex. tech that can transform experiments on spatial understanding
- i.e. VR – computer-generated spaces that feel 3D
14
Q
Goswami summary cont 4
- Wilkening and Cacchione (Ch 18)
- What is our intuitive knowledge based on
- Why to we have wrong intuitions?
- How do we correct them?
- 2 theories on how intuitive knowledge dev in children
- Main point on children’s intuitive knowledge
- Kuhn (Ch 19) - Dev of scientific thinking
- Kuhn’s view on how children make sense of their experience
- Conceptual change
- Children’s initial process in scientific inquiry - 2 steps
- Snowling and Gobel (Ch 20)
- What is are brain designed for?
- What is it not designed for?
- Phonological awareness skills
- What does it help us do?
- developmental dyslexia
- % ppl are affected
- What is the cause?
- 3 overlapping reading systems
- Neuronal recycling
- 2 examples
A
- Wilkening and Cacchione (Ch 18) - intuitive knowledge
- Children’s intuitive physical knowledge depends on their experience
- Some perceptual experience produces wrong intuitions
- Ex. Earth looks flat
- We need formal instruction in physics to correct these wrong intuitions
- Inhibition helps develop intuitive knowledge
- 2 guesses on how to dev intuitive knowledge
- 1 Children dev scientific theories; when there is contradictory evidence → revise their theory
- Children’s intuitive knowledge is based on their “fragmented” experience (they didn’t get the whole picture)
- We know there is a lot of variation in children’s intuitive knowledge
- need more rs
- Kuhn (Ch 19) - Dev of scientific thinking
- Kuhn thinks children construct implicit scientific theories from their early years to make sense of their experiences
- Conceptual change: children revise their theories when there is new evidence
- The prototype of Scientific inquiry:
- 1 Gather background knowledge (ex. causal v); understand it
- 2 selects a method to investigate and identify which are causal vs not
- Snowling and Gobel (Ch 20)
- Nowadays, most info comes in written form (ex. info on Internet)
- Our brain is not designed for reading
- Our brain is designed to process spoken language
- Phonological awareness skills: understand sound patterns and structure of spoken language
- Phonological awareness skill help us learn the alphabet
- Atypical dev of reading skills/ developmental dyslexia
- Affect 7% of children
- Cause is impairment in phonological processing
- Nowadays, most info comes in written form (ex. info on Internet)
- Rs data shows there are 3 overlapping reading systems
- Responsive to low-level visual features of words
- Responsive to phonology and orthography-phonology mappings
- For semantics
* Neuronal recycling: the brain areas recruited for reading have other functions that may be evolutionarily older (ex. object recognition)- Ex. used in deductive reasoning system (esp WM, declarative mem)
- For semantics
15
Q
Goswami summary cont 5
- Bryant and Nunes (Ch 21)
- What makes math innate for us?
- Why do we teach students counting tho?
- 2 types of math knowledge that is learnt
- Math operations
- what do 3 yo understand?
- what do 5 yo understand?
- what do children understand later?
- Zelazo and Muller (Ch 22) - EF
- EF purpose
- Problem solving aspects - 2 aspects
- Other aspects EF rely on - 4 aspects
- When does EF dev
- EF and PFC misconception
- 2 parts of EF
- fx
- Dodd and Crosbie (Ch 23) - communication disorder
- communication disorders
- % of children affected
- treatment
- 2 ways the relationship b/w cog and language is complex
- Baron-Cohen (ch 24) – autism
- Triad of impairments in autism
- empathizing-systemizing (E-S) theory of autism
- 3 main abilities in empathizing
- 2 things that dev empathizing behavior?
- What is autism ppl’s superior skill?
- Definition
- 2 systems in the skill
- 4 major roots of the skill
- Benefit from this skill
- Gender difference
- Explanation
- Summary
- 2 main things that contribute to age-related change
- Early rs view vs current rs view on development
- 4 reasons why conceptual dev is gradual
A
- Bryant and Nunes (Ch 21)
- Math is innate
- we have analogue system: # of items influences amount of neural activity
- Counting is somewhat innate
- Need to teach children math as counting system is partly intuitive and partly human invention
- Math is innate
- Some math knowledge is learnt
- 1 cardinal vs original #s
- Piaget: math is learnt via experience
- Ex. 1 yo understand Cardinal (how many) and ordinal (order) #s
- Piaget: math is learnt via experience
- 2 arithmetic operations is learnt (Ex. +, - , x, ÷)
- 3 yo: understand addition
- 5 yo understand Additive reasoning & One-to-many correspondence
- Additive reasoning = inverse relationship w/ add & subtract
- One-to-many (ex. x = 1, y = +/- 1)
- Later: Multiplicative reasoning needs formal teaching, more time
- 1 cardinal vs original #s
- x
- Zelazo and Muller (Ch 22)
- Exec fx goal: solve problems
- problem solving aspects: goal selection, planning
- It relies on other processes: inhibitory control, WM, reflection, complex rules
- EF continues to dev in adolescence and early adulthood
- EF is highly influenced by PFC; Exec fx is NOT = to PFC fx
- There are 2 parts of EF
- Affective/Hot EF: used for problems that have high affective involvement
- Ex. social problems, evaluating the emotional significance of the stimuli
- Cognitive/Cool EF: evoked by abstract and decontextualized (isolated) problems
- Affective/Hot EF: used for problems that have high affective involvement
- Exec fx goal: solve problems
- Dodd and Crosbie (Ch 23)
- communication disorders - language use is socially inappropriate
- 15% of children fail to reach language milestones at the appropriate ages
- Get language therapy
- Many causes
- Language dev and cog dev are related in a complex way
- Some children w/ cog impairments have good language skills
- Ex. speak 16 languages
- Some children w/ poor language skills have preserved cog skills
- But the “preserved” skills are not intact
- Some children w/ cog impairments have good language skills
- communication disorders - language use is socially inappropriate
- x
- Baron-Cohen (ch 24) – autism
- Triad of impairments in autism: atypical social dev, atypical dev of communication, repetitive b/narrow and obsessive interests
- empathizing-systemizing (E-S) theory of autism: the main impairment among the Autism’s “triad” of impairments is in the E-S system
- IOW: a deficit in empathizing
- Empathizing includes the abilities
- to make sense of others’ b
- to predict what they might do next and how they may feel
- to adjust out b accordingly
- IOW: minded others and respond accordingly
- What developed empathizing behavior?
- Roots: joint attention, pretend play
- autism ppl have superior systemizing skills
- Systemizing: analyse or construct systems
- Ex. mechanical systems – video recorders
- Ex. Abstract systems – grammar in language
- roots of systemizing lie in
- The dev of physical knowledge
- The dev of causal and logical reasoning
- The dev of scientific thinking
- EF
- Systemizing: analyse or construct systems
- Pros: develop superior engineering and math skills
- Systemizing skills are better in males; empathizing skills are better in F
- Explanation: “extreme male brain” theory of autism
- WM capacity, inhibitory processes can explain age-related changes
- Early rs: support “universal laws of cog dev”
- Current rs: social/context info & background knowledge influence dev
- conceptual dev is gradual not radical
- Neural networks: hv more connections and pruning
- Children seek knowledge themselves
- Teachers scaffold them
- Children accumulate more knowledge via language