Skill essay plans Flashcards

1
Q

1.2 PCE

A

Expertise

  • expertise - development of task-specific knowledge base through practice
  • PCE
  • experts pick up relevant info
  • Williams and Ford (2008) - greater anticipation and decision making with extended engagement
  • Mann et al. (2007) - experts better at picking up perceptual cues - diffs in visual search
  • Williams et al. (2011)

anticipation
- definition - Abernethy et al. (2012)

occlusion

  • temporal - manip advance info
    • general info
    • Williams and Burwitz (1993) - football - predict ball destination - experts adv early on - no-one very good early on - everyone gets better with time
  • event - sources of info
    • info
    • Abernethy and Russell (1987) - indicate shuttle destination - racquet and arm prediction error increased - irrelevant had no effect - experts know how to pick up and use info
    • Jackson and Mogan (2007) - tennis - info from toss and racquet and arm region underpinned anticipation skill
    • Muller, Abernethy and Farrow (2006) - cricket - pick up general and specific task-relevant info early - bowling hand and arm
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2
Q

2.1 PCE: decision making

A

implications of occlusion

  • perceiver - uncertainty, aware of cues
  • actor (deceiver) - disguise cues, increase uncertainty
  • Causer and Williams (2015) - manip football uniforms, skilled more accurate on normal - skilled more affected by manipulations
  • problems with occlusion paradigms - no action, situational probabilities, small screen, loss of audition

behavioural arms race

  • anticipation v deception
  • Jackson et al. (2006) - rugby players, predict direction change, novices susceptible to deception, said more confident on deception trials

decision making

  • are you the next Iniesta?
    • data from ECFC - at = youth did better, worse don’t get better with more practice, sport-specific training, cohesion other applications
    • Belling et al. (2015) - support for LTWM observed during decision making, specific soccer tests better for predicting skill than general tests
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3
Q

2.2 PCE: football penalties

A

penalty kick research

  • penalty kick and penalties info
  • Savelsbergh et al. (2002) - expert and novice Gks moved joystick in response to PK
  • Dicks et al. (2010) - gaze and movement behaviours of footballers in different situations
  • search rate
  • criticism of occlusion paradigms

phD research and other studies

  • previous research - Kuhn (1998)
  • Wood and Wilson (2010) - KD approach in football
  • Wood and Wilson (2017) - looking where you shoot

anticipation
- van der Kamp (2011) - select target early

anxiety and attention

  • Jordet - circle diagrams
  • Wilson et al. (2009) - disruption in gaze behaviour = reduction in shooting accuracy

attentional control theory
- Eysenck et al. (2007)

QE

  • Wood and Wilson (2010) - a moving GK distracts penalty takers and impairs shooting accuracy
  • Wood and Wilson (2011) - QE training for PKs
  • Vine et al. (2017) - part of the QE important to performance
  • Wood and Wilson (2012) - QE training and control under pressure
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4
Q

3.1 I spy with my QE

A

visual perception

  • info
  • Uiga et al. (2015) - older people focus a couple of steps in front

eye movements

  • eye tracking
  • eye movements and gaze control
    • fixations
    • saccades
  • eye movement metrics
    • no. fixations
    • gaze duration/fixation
    • scan path
  • Mann et al. (2007) - experts using fewer fixations of longer duration, including prolonged QE periods, compared with non-experts - better at picking up perceptual cues
    • search rate
      • lower for experts - pick out most relevant info - few fixations needed

vision

  • visuo-motor control
  • visually guided actions - task-specific, goal-directed eye movements - top-down instructions
  • Mann et al. (2013) - batters track where ball will hit - who are the experts?

QE

  • information
  • why is it useful? - hands controlled by brain
  • specifics? - timing - length, onset, offset, know imp - proficiency, anxiety, training
  • why is it important?
  • Empirical studies
  • Vickers (2004) - focus on one dimple of golf ball - 2-3s QE - dwell important
  • pressure - Increased anxiety disrupts effective attentional control (QE)… AND … subsequent performance - shown with lots of sports
  • QE and choking - Vine et al. (2013) - putted until missed - breakdown QE - dwell imp
  • Lebeau et al. (2016) - large effect size for diff between experts and novices, large effect size between QE period to perf

control of attention

  • Corbetta and Shulman (2002) - want to use dorsal attention and less of ventral attention
  • Wilson et al. (2015)

critique

  • Wilson et al. (2016) - still unsure about how it works
  • Mann et al. (2016) - need to understand the mechanisms underlying it
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5
Q

3.2 I spy with my QE: how to cheat learning with gaze training

A

the QE

  • information - key PC variable, underpins - Expertise differences, Proficiency differences, Attentional control under pressure
  • what is the QE doing? - VEPFAG
  • QE training - acquisition, refinement, coordination
  • Lebeau et al. (2016) - diffs in QE between E and N and successful and unsuccessful

training: sport
- Novices - skill acquisition - learn skill faster with QE - understand why people break down under pressure
- Vine and Wilson (2010) - smoother profile, perf maintained, cardiac deceleration, reduced muscle activity
- Smeeton et al. (2012) - vision training for sport shows performance improvements

other domains

  • Moore et al. (2014) - QE intervention group had better performance and standards in rifle shooting
  • Wilson et al. (2010) - surgery - longer fixations
  • Wilson et al. (2011) - surgery and QE

already trained performers

  • benefits? - refinement, dealing with pressure
  • Vine et al. (2011) - golf perf - better with QE in lab and on course - adv
  • Wilson and Richards model - prepare, perform, review

improving children’s motor ability

  • The Waterloo foundation - DCD v TD - baseline and retention - better with QE
  • Miles et al. (2015) - DCD children - can learn attentional control - changes present in technique but not outcome - not very long to train
  • Wood et al. (2017) - DCD - better with QE
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6
Q

4.1 implicit learning

A

a model to describe motor learning

  • Fitts and Posner (1967)
    • cognitive
    • associative
    • autonomous

types of learning

  • declarative
  • procedural

WM

  • Baddeley and Hitch (1974)
    • phonological loop
    • visuo-spatial sketchpad
    • central executive

types of processes

  • explicit
  • implicit
  • Reber (1992) - consciousness

implicit learning

  • definition - Reber (1989)
  • is it beneficial?
    • Baars (1998) - better unconsciously
    • Reber (1992) - phylogenetically older
    • Masters (2012) - the zone
  • how can we tell learning was implicit?
    • number of rules
    • movement measures
    • RTs - Lam et al. (2010)
    • neural measures - Zhu et al. (2011)

IML

  • definition - Masters (1992) - speculated can evolve evolutionary old attributes
  • why use it? - pressure
    • Norman (1982) - thinking about action
    • Bliss-Boder hypothesis - over-analysis
  • self-focus theories of choking
    • Baumeister (1984) - definition - consciousness
  • why use it?
    • better perf under pressure
    • reduce chance reinvestment
    • reduce DK
  • T3 - verbal-analytical processing
    • Kerick et al. (2011)
  • Fz - motor planning
    • Kaufer and Lewis (1999)
  • coherence
    • Zhu et al. (2011) - less coherence better - more implicit

reinvestment

  • definition - Masters (1992), Masters and Maxwell (2008)
    1. perf context
    • Moore et al. (2013) - evaluations before performance
      2. predisposition
    • MSRS - Masters et al. (2005)
  • reinvestment and falling
    • Wong et al. (2008/9) - increased awareness of limb movements
    • Uiga et al. (2016) - reinvestment plays role in walking in older adults - stance and foot placement
  • Malhotra et al. (2015) - surgery - problems if consciously monitor already learned movement
  • critiques
    • Carson and Collins (2016) - don’t focus on those trying to refine skills
    • Mullen and Hardy (2010) - holistic and part-process goals
    • Oudejans et al. (2010) - distraction theories - direction towards worries
    • Toner and Moran (2014/15) - consciousness helps in elite - can choose when to use it
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7
Q

4.2 the how and why of IML and a critical look at reinvestment

A

general

  • characteristics - knowledge, stress, intuition
  • Masters et al. (1994) - PD - robust to dual task

neurological evidence
- Gallicchio et al. (2015) - reduced coherence = more implicit = better perf

why might IML be beneficial?

  • Abernethy et al. (2012) - novice Ps - implicit group perf better under stress
  • Kal et al. (2018) - weak results for other studies

a means to IML
- mechanisms of creating IL env

dual-task learning

  • Masters (1992) - random letter generation and putt - 5 conditions
  • Masters et al. (2000) - ways of creating IML - not useful if takes too long
  • Goh et al. (2012) -

errorless learning

  • Maxwell et al. (2001) - golf putt perf unaffected by secondary task
  • Capio et al. (2011) - greater gains in movement accuracy and perf efficiency
  • Chauvel et al. (2012) - errorless showed similar traits to those learned implicitly
  • Zhu et al. (2011)
  • Schmitz et al. (2014) - alzheimers - errorless learning helps faster automation of procedure

analogy learning

  • Masters and Liao (2001) - table tennis shot - better perf with analogy - chars of IML
  • Kleynen et al. (2014) - stroke - increased perf after analogy
  • Goodwin et al. (2015) - PD - follow footprints in sand
  • Capio et al. (2019) - softball batting - only novices showed improvements
  • Schucker (2013) - golf putting - didn’t find analogy imp perf any more than normal learning
  • Lam et al. (2009) - no diffs in retention - maintained performance in transfer - fewer rules - implicit learning
  • Komar et al. (2014) - breaststroke - benefitted inter-limb swimming coordination

other mechanisms

  • reduced feedback
    • Maxwell et al. (2003) - withhold feedback –> inhibits the use of WM –> prevents formation of declarative knowledge without affecting procedural
  • QE
  • Brain stim
    • Zhu et al. (2015) - Cathodal tDCS over the left DLPFC may foster implicit motor learning and performance

is it always bad to reinvest?

  • picking up skills quicker
    • Maxwell et al. (2016) - partially against - high motor better with errorful
    • Malhotra et al. (2015) - against - components of MSRS aided perf rather than hindered
  • experts continuous improvement
    • Toner and Moran (2015) - conscious helps in elite
  • relearning skills
    • Toner and Moran (2014) - use conscious processing when re-learning
  • Carson and Collins (2016) - 5 A model

other tensions

  • cue words - against IML
  • holistic goals
    • Mullen and Hardy (2010) - those that use holistic goals outperform those that use part-process goals - part-process goals don’t impair test performance compared to baseline - holistic goals provide a more focused, efficient performance

choking

  • Englert andOudejans (2014) -
  • Oudejans et al. (2011) - under pressure attention of expert athletes was often focused on worries and hardly ever on movement execution - furthermore, the athletes reported that they focused attention on external factors and that they reverted to pos monitoring in an attempt to maintain perf
  • Wilson et al. (2007) - stronger support for predictions of processing efficiency theory

critique

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8
Q

8.1

A

limits on modifiability of performance
- Galton (1869) - “So long as he is a novice, he perhaps flatters himself there is hardly an assignable limit to the education of muscles; but the daily gain is soon discovered to diminish, and at last it vanishes altogether. … There is a definite limit to the muscular powers of every man, which he cannot by any education or exertion overpass”.

do experiences help?

Ericsson

  • the myth of talent
  • key points
  • Ericsson et al. (1993) - professionals and best experts accumulated 10,000 hours - all groups - repeated amount of practice increases monotonically from when they start to the age of 20
  • start young and practice lots
  • 10 year - 10000 hours
  • Ericsson (2009) - It describes different types of deliberate practice activities that develop and refine mental representations, which in turn permit attained performance to exceed performance resulting from extensive experience only - expert performance and outstanding achievements will be primarily constrained by individuals’ engagement in deliberate practice and the quality of the available training resources.

deliberate practice

  • definitions
  • 5 elements
  • activities that make it up
  • Baker and Young (2014) - Three types of constraint: motivation, resources, effort,
  • Macnamara et al. (2014 and 16)
    • conclude that deliberate practice is important, but not as important as has been argued
    • Overall, deliberate practice accounted for 18% of the variance in sports performance. However, the contribution differed depending on skill level - deliberate practice accounted for only 1% of the variance in performance among elite-level performers - athletes who reached a high level of skill did not begin their sport earlier in childhood than lower skill athletes.

Hans-Selye’s General Adaptation Syndrome
- 3 stage response to stress

what should we do?

  • intrinsic motivation
  • Eddie Jones

quality training
- Qs to ask

how is sport different to music and chess?

  1. enjoyment
    - Starkes et al. (1996) - wrestlers and figure skaters enjoyed engaging in the activities that they considered to be highly relevant to performance in their specific domains.
  2. genetic component
    - Tucker and Ericsson
    - Tucker and Collins (2012) - 1. Individual performance thresholds determined by genetic make-up
  3. Training = process by which genetic potential is realised
  4. 10000 hours
    - Duffy et al. (2004) - only small variance in sport determined by practice - slightly more in chess
    - Gobet and Campitelli (2007) - chess - some reached master by 5000 and some not by 25000
    - Helsen et al. (1996/8) - some sports = less than 10 years
    - Baker et al. (2003) - some sports = less than 10 years
    - Oldenziel et al. (2003/4) - some sports = less than 10 years

issues in applying DP to sport

  • training fun
  • all training might be DP
  • what is the content of DP?
  • burnout
  • less play
  • too structured
  • focus on elite

cost-benefits

  • skill development
    • Clark and Metcalf (2002) - Fundamental motor skills base for future participation - Successful with more athletic skills
    • Berry et al. (2008) - Repertoire of skills transferred from one activity to another
    • Baker et al. (2003) - Practice content versus practice quantity
    • Brylinksy (2010) - Practice content versus practice quantity
  • social development
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9
Q

8.2 developmental model of sports participation - sampling/deliberate play

A

DMSP (Cote et al. (2007)

  • 3 stage trajectory
  • Cote et al. (2012) - “The underpinning principle of sport programs for children is to provide space, opportunities for playing and training, and equipment for a large number of children across various sports, so that the best athletes among a large pool of motivated adolescents can be selected.”
  • elite opportunity

7 postulates about youth sport activities

testable tenets

  • DP
  • DMSP

early specialisation

sampling

  • can you make it if you sample?
    • Baker and Cote (2003) - team ball sports - Experts had: 1. More practice (after 12 yoa) - 2. More additional activities
    • Gibbons et al. (2002) - Olympians and commitment to pursue excellence - Few specialised at primary school - Specialisation not until college or later - Not necessary better to specialise early
  • will you hang around longer if you sample?
    • Law et al. (2007) - Olympic gymnasts rated their health as lower than international gymnasts and reported experiencing less fun
  • more positive youth development through sampling
    • Wright and Cote (2003) - University students - Diversified sporting experiences related to more positive peer relationships and leadership skills - Develop important life skills
    • Fraser-Thomas and Cote (2009) - adolescent developmental experiences
    • Fraser-Thomas et al. (2008) - dropouts were: - Engaged in fewer extra-curricular activities - Completed less unstructured swimming play - Had less 1-1 coaching
    • Fransen et al. (2012) - Boys aged 10-12, who spent many hours in various sports, performed better on standing broad jump (p < 0.05) and gross motor coordination (p < 0.05). - Spending many hours in more than one sport might be beneficial in helping develop strength and motor coordination.

early specialisation/diversification
- (table)
No clear solutions have been drawn in:
- psychology (see Gould, 2010)
- physiology (see Kaleth & Mikesky, 2010)
- biomechanics (see Mattson & Richards, 2010)
- at 13 children should have choice
- Horn and Hams (2002) - important period for development of identity and competence - Can fully understand the effects of effort, practice and ability on their competence
- specialise from 16

deliberate play

  • chars of informal games
    • Coakley and Pike (2009) - chars of informal games - 1. Action, especially action leading to scoring
      2. Personal involvement in the action
      3. A close score (that is, a challenging or exciting contest)
      4. Opportunities to reaffirm friendships during the game.
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10
Q

9.2 Early engagement. Early specialisation in football but play is important

A

soccer research

  • Pulnik (2017)
  • Pearce (2017)

is football a special case?

  • early specialisation
  • diversification
  • engagement
  • haugasen and Jordet (2012)

main activities

  • practice
  • comp
  • play

Helsen et al. (1998)

developing expertise
- Williams and Ford (2012)

international differences
- Ford et al. (2012)

what activities are being coached?

  • Ford et al. (2010)
  • Low et al. (2013)

what leads to better PCEs?
- Roca et al. (2012)

early engagement pathway

  • childhood
  • adolescence
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11
Q

10.1 talent, can you spot it?

A

why is this important?

  • Beijing (2008)
  • London (2012)
  • Rio (2016)

missing talent

  • Roland (1998)
  • Tucker and Collins (2012)

genetic component

  • Heritage study (Bouchard)
  • COL5A1 gene
  • VDR
  • ACE - Puthucheary et al. (2011)
  • Tucker
  • Epstein
  • issues to consider

talent id

  1. talent selection
    - which error is most tolerable?
  2. talent detection
    - British Rowing WCS
    - other skill based sports?
  3. talent transfer
    - do we need to specialise early?
    - Durandt et al. (2011)
    - Vaeyens et al. (2009)
    • implications
    • recycling
      - AIS Gulbin
      - adv
      - Abbott and Collins (2002)
      - Phillips et al. (2010)
      - Vaeyens et al. (2008)

LT success

  • Gulbin et al. (2013)
  • Gullich and Emrich (2019)
  • Gullich et al. (2019)
  • Johnson et al. (2008)
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12
Q

10.2 Talent ID: which characteristics are associated with sporting success?

A

the performer

  • birthdate
    • Lupo et al. (2019) - RAE over a range of sports - born close to the beginning of the year = 1-2x more likely to reach higher levels - RAE present in at least one sport in each phase
  • Genetics
    • Pickering et al. (2019) - genetic testing is being increasingly used - utilised as a tool to predict future elite athlete status - can guide nutrition and training recommendations and assist in the prevention of injury - should still be combined with other tools
  • Anthropometric and physiological factors
    • Podrigalo et al. (2018) - kickboxing - technique is a simple, informative and objective tool for monitoring and predicting the status of athletes
  • Psychological skills and motivational orientations
    • Rogaleva et al. (2019) - The study proved that coping strategies and mental reliability are closely related to the level of sportsmanship - more active coping strategies and have a higher level of competitive emotional stability.
  • Personality traits
    • Steca et al. (2018) - athletes who had experienced the most success in their sport scored higher than non-athletes in each personality dimension of the Big Five, with the exception of openness

the Wonderlic test

  • general info
  • higher scoring
  • lower scoring
  • average scores
  • Pitts and Evans (2018) - performance on the Wonderlic test is positively correlated with NFL performance - but not with draft position

the environment

  • birthplace
    • Budziszewski (2018) - Based on prior research, the expected results should reveal an over-representation for both male and female basketball players in areas that have between 250,000- 500,000 inhabitants - study ongoing
  • family support
    • Brown et al. (2018) - Appraising supporters as caring and understanding enabled support to be effective. - Family and peers (other retired athletes) were the most effective supporters. - as imp as giving support
  • athlete support programmes
    • Gullich et al. (2019) - neg life experience, good coaches, diversification,

the GBMP

  • Rees et al. (2016)
  • differences between groups
  • study results
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13
Q

11.1

A

talent development

  • Vaeyens et al. (2008) - talent development criticisms
  • Abbott and Collins (2004) - talent development programmes need to be multidimensional and highlight the role of psychology

realistic pathways
- Gulbin and Weissensteiner (2012)

talent development models

  • Gagne
  • Vaeyens et al. (2008)
  • Tucker and Collins (2012) - giftedness v talent
  • Collins et al. - The importance of psychological characteristics in transforming giftedness to talent
  • Abbott and Collins (2004)

mindsets

  • Dweck

grit

resilience

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14
Q

11.2 talent

A

sampling and deliberate play

DMSP - no competition?

RFU: shaping the game

other articles

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15
Q

11.2 deliberate preparation

A

is deliberate preparation key?

biobanding

American Development Model

DMSP

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16
Q

6.1 optimising practice - contextual interference and differential learning

A

retention v transfer

what is practice?

  • Schmidt (1991) - definition
  • Shea and Cole (1990) - variability of practice - moving arm to target
  • Landin (1993) - variability of practice - better short term

specificity of learning

  • Henry (1960) - definition
  • Moradi et al. (2014) - specificity of learning - see/not see target
  • Proteau et al. (1992) - specificity of learning - addition of visual feedback

schema theory
- Schmidt (1977)

a means to implicit learning
- Wulf and Schmidt (1997)

contextual interference
- Shea and Morgan (1979) - better learning when in diff conditions in learning and retention

elaboration hypothesis
- Goode and Magil (1986) - random, blocked and serial practice in learning a badminton serve

optimal movement pattern
- Schollman (1994) - discus throw

within and between athlete variability

  • Schollhorn and Bauer (1998) - no optimal javelin throw
  • Schollhorn et al. (2006) - random variance produced better performance

challenging traditional learning theory

differential learning

  • Schollhorn et al. (2006) - explanation of differential learning
  • Schollhorn et al. (2012) - football - differential v traditional learning
  • Savelsbergh et al. (2010) - speed skating
  • Santos et al. (2018) - football creativity with differential learning
  • Hossner et al. (2016) - DL v repetitive learning
  • Schollhorn (2016) - challenges Hossner’s results
17
Q

6.2 - optimising training - constraints led approach

A

what is the constraints led approach?

issues with the traditional approach

development of the CLA

what is the CLA designed to do?

what are constraints?
- Newell (1986)

dynamics
- behavioural - Warren (2006)

issues with research

CLA and implicit learning

  • Buszard et al. (2014) - scaling of equipment
  • Scott and Gray (2010) - adaptation to heavier bat different across Ps
  • Timmerman et al. (2017) - constraints and hockey performance
  • Barris et al. (2013) - movement patterns and differing dive take-offs
  • Tan et al. (2017) - herding behaviour and manipulating task constraints