from neurons to teaching efficiency …..and to your job helen abadzi education for all fast track...
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From neurons to teaching efficiency …..and to your job
Helen AbadziEducation for All Fast Track Initiative
(c/o World Bank)March 18, 2011
For the University of Michigan
Smart domains of knowledge for you to study
• International agencies are deluged with CVs
• When you finish your masters or doctorate in education what will you be able to say you can do?
• Can you advise how best to train people at various levels?– Can you explain why some choices re better than others?
• Can you do design evaluation studies, analyze complex datasets?– Can you explain whether the findings make sense given how people
learn or think?
Cognitive neuroscience:Knowledge domain to help you interpret concepts:
– Such as• Constructivism• Active learning• Child-centered learning• Teacher-centered instruction• Classroom climate• Quality of education• Zones of proximal development
A glimpse to a trove of knowledgeknown by a few
• Low-income students tend to do very poorly• International agencies want to see financing converted
to information• How to facilitate better retention, integration, use of
knowledge under conditions unknown in higher-income countries?
• Cognitive neuroscience offers the needed principles– Mainly cognitive psychology of the 1990s
• Education faculties rarely teach this fieldThe lecture will give you a sample
What happens to information on its way to being learned?
Knowledge taught in school must go through:• Attention mechanisms• Short term memory limitations• Encoding through “rules” of cognitive
networks• consolidation into long-term memory
The micro level features are reflected in macro memory features
• Education modifies brain architecture• As a result of school work:• certain proteins are made for permanent storage• New axons and dendrites created
– Connecting parts of the brain that were not earlier connected• Neuron synapses open and close in milliseconds• Knowledge is stored in neuron assemblies
– spatio-temporal patterns
Principle from neuron functions:We remember best the info we have used most recently and most
often
Neuron assemblies connect in spatio-temporal patterns to store information
Feedback is needed for modification
Neural networks
Neuron assemblies
Biological mysteries of memory
• Aromas of rosemary• Chewing gum• Effort, physical activity• Glucose• Items presented within 30 minutes of humor
– funny classes matter• Sleep • But emotions have inverted U relationship
with performance
Daily lifeSchoolcurricula
Vocational skills, computer use,TypingWord, Excel
Imitating conscious or unconscious movements (buttoning shirt)
Reading automaticityKnowledge encoded in movements
Valuing certain knowledge
Backgroundnoises deemed ordinary
Reward expectations
“noncognitive” skills:Showing up on timeCarrying out obligationsetc
Your mind contains these kinds of
Conscious knowledgeWe can talk about it Unconscious knowledge
Short-term memory capacityWhy speed is needed for comprehension
(working memory)
Long-term memory
12 seconds at mostAbout 7 items4 pictures
Cognitive networks
125 gigs semantic memory !
Implication of short-term memory:Fluency must be the goal of all training• Students should be trained for fluency in reading• In math• in vocational skills (procedural memory)
• In basic facts – so that they pop up in students’ minds– No time should be lost in searches
Short-term memory capacity determines how we learn and act
• Fluency must be the goal of all training• Automatic, fluent performance needed for
frequently used skills• If we search the mind for answers, we forget
the problems we tried to solve !
After some practice, our mind groups letters into ever-larger chunks
All sophisticated skills are built like this
Implication of short-term memory:Fluency must be the goal of all training• Practice shortens reaction time, we do things
without much attention:– Reading– Math calculations– Vocationally related skills– Gas chromatograph, computer operation, etc.
• Time, materials, homework must be used to bring about fluency
• So what is the most important goal in beginning literacy?
Journey of an information itemWhen did Mozart live (1756-1791)?
• An item going into your mind (e.g. Mozart’s birthdate)– Must first get attention, enters through senses
• Passes through the short-term memory bottleneck• Ends up in the contents of the long-term memory bottle• Gets classified into existing networks based on specific
“rules”• If not contemplated or used, it may be forgotten• With use, it gets reconsolidated, reclassified under networks
of “deeper” meaning• After 10 years of use or 10,000 hours of practice, expertise
arises, and the item resides in a modular network
Attention is needed to learn anything
• Animals are set up to pay attention mainly to changes in the environment.– The ‘default’ state is inattentiveness– Attention requires conscious control – Control develops throughout childhood
• Perhaps adding roughly a minute per year of age
• Being called on by a teacher influences performance– Reinforcement on a ‘variable ratio’ maintains attention best (B. F. Skinner)
• A student who knows little and has little chance of being called upon will likely learn very little from schooling
Bangladesh: How many paying attention?One student recites, rest unoccupied
Teachers in Nepal interacting mainly with the front of the class
How does knowledge get constructed?
Biological tendency for network organizationCognitive networks under construction
Items are usually categorized on the basis of meaning (particularly after age 12)
Children in particular may classified items in series
If information survives up to long-term memory.. “rules”determine which items will be retained
• Spoken rather than written info• Imageable (picture superiority effect)• Contemplated and connected to
existing knowledge through meaning• Encoded through multiple senses • Somewhat distinct from others
– but not unheard of• At the beginning or end of a session• In small chunks at a time• Reviewed at intervals spaced apart
– not crammed• Generated rather than just given
Crucial for remembering and forgetting:organization and links among items
• Information is recalled along the same paths on which it was encoded
• We remember information items by traveling along the pathways where they were encoded– E.g. remember a foreign language better by reviewing your old books,
going where it was spoken
• Places, time, smells, are encoded with the information (encoding specificity)– Proust and the “madeleines”
To be remembered, items must be attached to very specific “hooks”
(encoding specificity), zones of proximal development?
If we don’t know where to “hang” something, we forget it– Can you remember…. Chloro(trephenylphosphine)gold” ?
We need concrete examples to retain abstractionsIf we know where to hang something, we understand!
From items we draw conclusions and find rules
• A paradox:– Items can only be linked
very specifically to other items (encoding specificity)
– but once linked, rules are extracted from patterns
• conclusions drawn– knowledge multiplies, easy
to learn anything !– Cognition - interplay between
remembering an item and deriving conclusions
– Generalization, transfer difficult– Certain rigidity
Conclusion
Precise fit of information items
New items attached
Prior knowledge
example example
The mind derives rules from items and events
• People drop the details, remember the gist
• Particularly for repetitive events, the specific information may be discarded– What did you see on the road while going to work
three months ago?• People will reconstruct from repetitive events,
develop “schemas”– “recall” false details based on likely events
The more knowledge we have, the more we have hooks
to hang new items
• Fast reading, fast intermediate calculations reward learners– help create ‘self motivated learners’
• Elaboration, practice reconfigure networks• 10 years of practice create expertise• Innovation, creativity – research ongoing on
these issues
Elaboration and use reconfigure cognitive networks into “deep structure”
• Upon teaching, items may be classified through “superficial” characteristics
• With elaboration and practice, items may be reclassified under underlying concepts
• “surface structure” to “deep structure”• “deeper” principles help create analogies:
– Generalizing: Transfer of learning to problems that superficially appear different• Have same “deeper” structure
• “rote memorization” just connects items, – no elaboration
Elaboration, contemplation:Crucial educational concept
• “Contemplation” activities help transfer items to multiple or different classifications• Some such activities may be “active learning”
• Really active processing
• Students who get elaboration exercises connect knowledge– E.g. Connections to motor networks
• Multisensory inputs– Knowledge “pops up” whenever needed
Some implications of cognitive network functions
• Organization and links matter as much as the information itself
• Knowledge is cumulative – Students need exact “hooks” with prior knowledge– Dropouts can’t just return without remediation
• Students with primary school deficits can’t benefit from secondary school
• They need remediation!
• extra books benefit the best– Matthew effect
Poor-quality schools may just teach items in loose series
The heroes of the revolution are…
The principles of constitutional law are….
2x2=4, 2x3=6, 2x4=8, 2x5=10….
• Note: Information is recalled along the same paths on which it was encoded
Students may just recite or listen…
High-quality institutions offer activities to create complex networks
• Students recite + • read long texts+ • manipulate + • collect real-world samples + • answer questions connecting various items + • derive new conclusions from data + • solve problems + • practice for fluency + • generalize into various circumstances
Knowledge in the schools of the poor
Less utility for employers
Knowledge in the schools of the better-off
More utility for employers
Time is needed for consolidation:instructional time amount crucial
• Teaching time increases the probability that cognitive networks will be built
• High-income countries and schools put more at students’ disposal, so even if some tasks are inefficient, there is redundancy. – also repetitions, reviews etc.
• Schools of the poor give less time to students. – May get few chances to create a sensible semantic
network about a topic
Instructional time is what the governments pay forBut only a fraction of the investment
is actually converted into learning time
Class time as allotted by a government (e.g., 200 days, 1000 teaching hours)
Remaining after school closures (strikes, weather, teacher training, extra holidays)
Remaining after teacher absenteeism and tardiness
Remaining after student absenteeism
Class time devoted to any learning task
Learning time relevant to curriculum
Lack of textbooks translates into time wastage at all levels
• Copying, dictation necessary • Limited practice, time, feedback• Due to a lack of knowledge and materials,
teachers do very few activities • Teacher boredom: Could you spend 20 years
in blackboard transcription?
Efficient classroom activities
• Brief lecturing with examples, analogies• Asking students at random to answer
– variable ratio reinforcement best maintains attention• Elaboration, contemplation of the material
– retrieval, recombinations, analyses– Selective use of groups
• Textbooks, other structured material– Students should copy or take dictation only as a curricular
activity
Automaticity and working memory crucial in reading
Minimum reading speed needed for comprehension45-60 words correct per minute
(working memory)
Long-term memory
12 seconds at mostAbout 7 items4 pictures
Cognitive networks
125 gigs semantic memory !
Sound (OLE2)
35 words per minute
Perceptual Learning:
Visual complexity in various languages and scripts(Psycholinguistic grains)
Englishthrough, caught, bake, often, saw, sew
FrenchIls etaient, oiseau, mois, etant
Bengalijomi – earth
boithak – meeting
koThin - difficult
Can all students be engaged in this class? Why not?
Do these students discriminate among letters of the blackboard from this distance?
Setting the basis for efficient math acquisition
Mathematics are innate to some extent
• Triple code in the brain: sense of quantity, number name, symbol– Babies, animals manipulate about 3 items
– Addition and subtraction more “natural”, multiplication and division less so
• Magnitude processing, Weber fraction (some people better than others)
Higher-level math is based on preschool and early grade tasks
• Lower SES children start off and stay in poorer performance
• Activities needed to connect the verbal and the visuospatial parts
• Interventions needed since kindergarten:– quickly estimate how many things in a group – Build number line– Measure, compare sizes– Develop fluency of calculations
Develop early the number line people have in their heads
Instructional principles to applyFrom cognitive neuroscience to teaching practices
- Students need feedback- Sufficient learning time- Retrieval opportunities
- Need for fluency
- Info must pop up in mind without conscious searches
-Need for teaching methods that optimize classification and retrieval of info
-Optimally spaced reviews
Input into short-term memory Neuron connections
to encode information
Long-term memory consolidation (protein formation transfer from hippocampus etc)
Interventions in countries of all income and educational levels
• Fluency of basic skills – emphasis on achievement in grades 1-2
• Prior knowledge needed for a specific topic (hooks)• Textbooks or a structured set of materials per student• Use of allotted time for instruction, practice, elaboration• Teacher training for appropriate (elaboration) activities
– video-modeling methods more efficient in behavior change• Supervision of the relevant teaching activities
– Frequent feedback and reinforcement to teaching staff, given the way the brain’s reward system works
Countries need valid technical advice on learning efficiency
• Which expert to believe? • Degrees in education do not guarantee knowledge
– Often personal opinions, “Anglo-centric” views are given
• Evidence-based expertise is needed!
• You could learn this domain of knowledge and do a better job !
Suggestion: learn better how to integrate psychology findings
• Test hypotheses in dissertations and theses• Take 3 psychology courses before you
graduate– Cognitive psychology– Perceptual psychology – for reading etc.– Neuropsychology
• ALSO:– Social and/or motivation– Educational psychology? Depends on content– Tell your faculty you want such courses
Thank you for your time!