individual differences in learning Flashcards

1
Q

what are learning styles

A

idea that people learn better with a particular mode of teaching
people are categorized into these types

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2
Q

popularity of learning styles

A

promoted by universities
scientific handbooks
school teacher programs

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3
Q

why learning theories are popular

A

like to be treated as an individual

something to blame if do badly in exam

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4
Q

assessment of learning styles

A

many different tests
but costly
questions not related to learning types?

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5
Q

Origin of learning-styles concept

A

personality theories

used for life coaching and occupational decisions

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6
Q

study preference

A

very different from learning style
people can adapt and still work in other conditions
just a favored condition not needed

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7
Q

learning styles hypothesis

A

must be a valid crossover interaction

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8
Q

Clean and accurate methodology

A
  1. Participants are divided into groups on basis of their reported learning style
  2. Random assignment to different instruction modes
  3. All participants take the same final test
  4. Find crossover interaction between learning style and instruction method.
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9
Q

Stenberg et al 1999

supporting

A

Used only gifted high school students
Only one third of the student sample was included
Random assignment to the conditions
But deviant scores were deleted – with no explanation
Concluded that - Students in the matched condition better than students in the mismatched condition
But this is not a very valid study and has many problems

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10
Q

Massa & Mayer 2006

A
  • Visual or verbal learners
  • Randomised assignment to conditions – help screens with computer-based task
  • = no tendency for better performance for those participants who were in matching condition
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11
Q

Cook et al 2009

A

medical students
sensing and intuitive learners
found no evidence

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12
Q

Constantinidou & Baker 2002

A

visualizer-verbalizer questionnaire

visual - better free recall but no crossover interaction

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13
Q

Rogowsky, Calhoun & Tallal 2015

A

found cross over in the wrong way

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14
Q

dual coding

A

learn better when combine different representations

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15
Q

fixed mindset

A

the belief that abilities and intelligence are fixed (innate trait) and nothing can be done to change this – a person is either smart or not

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16
Q

consequences of fixed mindset

A
  • The goal is to keep looking smart to others
  • avoid challenging tasks - miss opportunities to learn from mistakes
  • Stop trying sooner – less resilience when obstacles are detected
  • Don’t bother with effort
  • Problems with coping with setbacks – attributed to not being smart enough
  • More likely to lie about obtaining scores, blame others or consider cheating
17
Q

growth mindset

A

the belief that own abilities and intelligence are malleable and if you put in time and effort you can develop them – a person works hard to achieve something

18
Q

growth mindset consequences

A
  • The goal is to develop abilities over time.
  • Embrace new and challenging tasks as opportunities to learn.
  • They are more persistent - high resilience when obstacles ahead
  • Like the effort because the past has shown that it is worth working on something
  • Handle setbacks in a constructive way.
  • More likely to develop new strategies and trying everything they can to succeed.
19
Q

Mueller & Dweck 1998

fixed/growth mindset

A

experiment on 5th graders non-verbal IQ
fixed - must be smart
growth - must have worked hard
those in fixed mindset chose to do easier problems as thought they could not get any better

20
Q

coping with failure

mindsets

A
  • fixed = more likely to lie about what they got and had lowest persistence and enjoyment in task
21
Q

long term effect of mindset

A

maths performance over 2 years
growth - improved over time
intervention to foster growth = improvement

22
Q

long term effect of mindset - problems

A
  • failed to replicate this research

- Researchers are generally sceptical towards the effects and have questioned their reliability

23
Q

rule-based learner

A

high performance
try find out what the underlying rule or principle is and understand why the solution is an adequate one
abstract from practiced examples to unpracticed new examples

24
Q

exemplar based learner

A

students memorise the key task features and essentially learn the steps to the solution

  • Very distracted by superficial task features and are very easy to confuse by using similar wording and practiced examples
  • No ability to abstract from practise examples to unpractised, new examples
25
Q

ambiguous

A

similar regarding superficial features, but dissimilar regarding rules

26
Q

unambiguous

A

similar regarding superficial features and rules

27
Q

McDaniel et al (2014)

functional learning

A

near transfer = both done well as similar to training

far transfer = only rule based done well

28
Q

Little & McDaniel 2015

category learning

A

Participants categorized shape stimuli during training into one of two categories: dax or blicket.
self‐reported rule abstractors = more likely to classify ambiguous transfer items according to the rule
More likely to classify ambiguous transfer items and exemplar‐favored items according to similarity.

29
Q

relevance for education

A

Rule‐based learners outperformed exemplar‐learners on the conceptual questions, but not in the fact memorisation questions