Synergistic Issues of Motor Learning Sequences As an Outcome of Its Internal Refactoring

Total Page:16

File Type:pdf, Size:1020Kb

Synergistic Issues of Motor Learning Sequences As an Outcome of Its Internal Refactoring INTERNATIONAL JOURNAL OF MECHANICS Synergistic issues of motor learning sequences as an outcome of its internal refactoring Nicolae Neagu, University of Medicine and Pharmacy, Motricity Sciences Department, Tîrgu Mureș, Gh.Marinescu st.38, Romania (Phone: +40.732.500.183; Fax:+40.211.944; e-mail: [email protected]) Dana Badau, “George Baritiu” University, Department of Physical Education and Sports, Brașov, Romania, Lunii St. 6, Brasov, (e-mail: [email protected]) Cristina Branea, University of Medicine and Pharmacy, Physiology Department, Tîrgu Mureș, Romania Gh.Marinescu st.38, (e-mail: [email protected]) Abstract - The current study is mostly addressed to athletics coaches who deal with the selection and training of athletes II. THEORETICAL BACKGROUND for hurdle events. The research aims to develop few certain aspects of beginner and advanced athletes, training for A. Purpose of the study professional athletics, within the orientation stage to short hurdle races. Our brief presentation intends to develop several HE development of this study conducts to an emphasized particular aspects, less approached in the literature of motor Tof the reconfiguration effects and also, restructuring of the learning and on selection field for children and juniors. In original operational model of motor learning on the motor learning process, approached as a synergetic and characteristics of the constituent inferential sequences. inferential procedure, certain internal reconfigurations of Refactoring may eventually lead, even to a redesign of the learning units can be defined as effective refactoring steps, entire learning process, if the post-sequential results (the aimed on forming high level and very stable motor skills. sequential outputs) are not the expected ones. During the Some of them may describe aspects of a narrow field of motor learning process, each learning sequence (learning unit investigation, consisting in supportive arguments based on – LU) will be completed through a demo of the stage-level of good practice experiences. the motor structure learnt at the time, accompanied by a so- called application-level test (test level) or sub-sequential test, Keywords – Body centre mass, Clustering of algorithms, to check the characteristics of fairness (the incremental- Inferential learning process, Mnemonics, Procedural driven), or, where appropriate, correction of errors of refactoring, Refactoring principles, Synergistic process. execution (type decremented) as learning outcomes in that sequence, reported to the original pattern. Along with this process, another mini-project is following- I. INTRODUCTION up, with ameliorative effect on the topokinetic component N the input stage of such a learning unit (LU) as a part of (refers to the development of motor skills involved - I learning acting microsystem (LAM), an initial model is particularly the speed and explosive strength), leading to an configured by a designer, as a pattern that is to be achieved by amplification effect on the level of motor aptitudes, a the algorithmic organization of the motor learning process, compulsory incremental condition, in order to achieve the under the independent variable intervention (i.e. an inferential final motor pattern, both in terms of morphokinetic (acting method of motor learning and assessing the individual system - learning-consolidation-training [LCT], individual technique of sprint hurdling). In most cases of motor learning running technique over hurdles) and topokinetic (higher and assessing a new motor skill, the athletes do not have in parameters of individual running speed, speed-reaction and their own motor portfolio the appropriate structure that is to be execution), such as those of the explosive strength, mostly the tested. impulse force of the lower limbs etc. Therefore, we cannot apply a pre-test based on this trial. Hence we could develop later on, a series of other assessment B. Relationship between human motor genotype and tests which could be applied, that are correlative to the skill phenotype on refactoring procedure of motor that is to be learnt. In fact, the form of the movement learning process performed at maximal morphokinetic parameters should lead to the execution of other parameters, these being also N fact, this is one of the main features of motor learning in maximal, but topokinetic. I high performance sport. Motor learning process cannot As we refer to high performance sport, we cannot dissociate replace motor-aptitudes development, which must accompany the two characteristics of the motor operation to be taught and by complementarity the motor skills acquisition. Thus, we assessed. Obviously this association is mandatory and stress the idea of the phenomenon to be deliberately induced, compulsory in the cases of sports in which the assessment of at the mutual potentiation between the two interventions upon movement is mixed (morpho-topokinetic type), as in the case the motor aptitudes and skills [12]. (Fig.1). of sprint hurdling [11]. Issue 3, Volume 5, 2011 157 INTERNATIONAL JOURNAL OF MECHANICS Area II and topokinetical view. This could be a new paradigm of Area I Area III Inferential process analysis, in the context of our applied research. (Fig. 4). It could be: It could be: (between Area I and Area III) Individual topogramme Individual morphogramme (dynamic aspects) (technical aspects) Learning Acting Microsystem (LAM) Individual motor aptitudes Individual motor skills (speed, power, coordination etc.) (individual coefficient of technicality - IC ) Tch Algorithm No.2 Inferential learning process (Between Learning Units Fig. 1. Several aspects of mutual potentiation in motor learning process No.1 and No.3) Algorithm Algorithm No.2 Algorithm Algorithm No.1 Algorithm No.3 Algorithm Algorithm No.2 Algorithm No.3 Algorithm No.4 Algorithm No.1 Algorithm No.4 Algorithm No.1 Particularly important will be the following rule: the acquisition of a particular motor skill should be mandatory, as Learning Unit No. 1 Learning Unit No. 2 Learning Unit No. 3 well as the proper development of motor aptitude-support. Developing positive effects of the means and methods used in motor learning, without action upon the motor aptitudes Fig. 4 A notional pattern of structural and chronological organization of the involved are not sufficient to produce general and specific algorithms before refactoring intervention in motor learning process [12] quality performance bounds. More specifically, a perfect individual running technique Otherwise, the inference sought by us, could be over hurdles, extremely refine as execution will not transformed into a repetitive linear process on its longitudinal automatically lead to a final course of the hurdles race at the conduct, described sometimes by the presence of interference identical level with that of speed race on the same distance [5]. phenomena (with disrupter effects) between the The final course of hurdles race (CHR) will be achieved by operationalized sequences of the motor learning units, and the cumulative course performed by that athlete on the speed beyond. Instead of inference learning process, it will be race (CSR) with no hurdles. On this result is to be added the developed an interfering modular process in stagnation or lost course over passing each hurdle, multiplied by the number even decremented, with many unnecessary consumption of of hurdles (defined as individual coefficient of technicality - resources [1]. This loss will induce effects which will disturb ICTh) [12]. The sum of the two timing components will result the psychomotor behavior with pedagogical and time- the individual performance, which will be measured. consuming failures alike [11]. Otherwise, without the high individual speed rate, without a Negative learning becomes a significant risk when this proper individual rate of speed reaction, without a high level process forwards towards motor morphogrames and of individual acceleration and in the absence of a higher index topogrames with increasingly detailed and at a complex level, of explosive leg strength, the result will be a modest one [4]. more refined and difficult to be executed in the target of See below two potential situations, in this presented context qualitative and quantitative parameters that were initially (Fig. 2 and 3). configured for the final pattern to be. As they reach the terminal stages of learning, with repeated and continuously ()CHR-C SR improved (iterative) executions, such as: execution → error Speed running over the hurdles (60 m.hurdles race) → correction → partial error → correction → correct execution → practicing proper execution - these H1 H2 H3 H4 G5H H6 degenerates, in unnecessary and time consuming repetitions, demotivating alike. From some estimates, we can appreciate Speed running race ( 60 m.on the flat) that their duration could reach a weight of approx. 50% of the planned duration of a learning unit. Fig. 2 Low level of individual coefficient of technicality (ICTh) [12] In the elaboration process of learning algorithms, as each ()CHR-C SR one reaches its final stage, sequential tests should be introduced, as inferential elements in designing a systemic- Speed running over the hurdles (60 m.hurdles race) serial motor unit, with double assessment features: •feed-back regulator of the sequence already performed and •feed-forward proactive and anticipatory-corrective, Speed running race ( 60 m.on the flat) for the next sequence, and thus, predictive assessment on Fig. 3 High level of individual coefficient
Recommended publications
  • A Revised Computational Neuroanatomy for Motor Control
    This is the author’s final version; this article has been accepted for publication in the Journal of Cognitive Neuroscience 1 A Revised Computational Neuroanatomy for Motor Control 2 Shlomi Haar1, Opher Donchin2,3 3 1. Department of BioEngineering, Imperial College London, UK 4 2. Department of Biomedical Engineering, Ben-Gurion University of the Negev, Israel 5 3. Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Israel 6 7 Corresponding author: Shlomi Haar ([email protected]) 8 Imperial College London, London, SW7 2AZ, UK 9 10 Acknowledgements: We would like to thank Ilan Dinstein, Liad Mudrik, Daniel Glaser, Alex Gail, and 11 Reza Shadmehr for helpful discussions about the manuscript. Shlomi Haar is supported by the Royal 12 Society – Kohn International Fellowship (NF170650). Work on this review was partially supported by 13 DFG grant TI-239/16-1. 14 15 Abstract 16 We discuss a new framework for understanding the structure of motor control. Our approach 17 integrates existing models of motor control with the reality of hierarchical cortical processing and the 18 parallel segregated loops that characterize cortical-subcortical connections. We also incorporate the recent 19 claim that cortex functions via predictive representation and optimal information utilization. Our 20 framework assumes each cortical area engaged in motor control generates a predictive model of a different 21 aspect of motor behavior. In maintaining these predictive models, each area interacts with a different part 22 of the cerebellum and basal ganglia. These subcortical areas are thus engaged in domain appropriate 23 system identification and optimization. This refocuses the question of division of function among different 24 cortical areas.
    [Show full text]
  • Neuromodulators and Long-Term Synaptic Plasticity in Learning and Memory: a Steered-Glutamatergic Perspective
    brain sciences Review Neuromodulators and Long-Term Synaptic Plasticity in Learning and Memory: A Steered-Glutamatergic Perspective Amjad H. Bazzari * and H. Rheinallt Parri School of Life and Health Sciences, Aston University, Birmingham B4 7ET, UK; [email protected] * Correspondence: [email protected]; Tel.: +44-(0)1212044186 Received: 7 October 2019; Accepted: 29 October 2019; Published: 31 October 2019 Abstract: The molecular pathways underlying the induction and maintenance of long-term synaptic plasticity have been extensively investigated revealing various mechanisms by which neurons control their synaptic strength. The dynamic nature of neuronal connections combined with plasticity-mediated long-lasting structural and functional alterations provide valuable insights into neuronal encoding processes as molecular substrates of not only learning and memory but potentially other sensory, motor and behavioural functions that reflect previous experience. However, one key element receiving little attention in the study of synaptic plasticity is the role of neuromodulators, which are known to orchestrate neuronal activity on brain-wide, network and synaptic scales. We aim to review current evidence on the mechanisms by which certain modulators, namely dopamine, acetylcholine, noradrenaline and serotonin, control synaptic plasticity induction through corresponding metabotropic receptors in a pathway-specific manner. Lastly, we propose that neuromodulators control plasticity outcomes through steering glutamatergic transmission, thereby gating its induction and maintenance. Keywords: neuromodulators; synaptic plasticity; learning; memory; LTP; LTD; GPCR; astrocytes 1. Introduction A huge emphasis has been put into discovering the molecular pathways that govern synaptic plasticity induction since it was first discovered [1], which markedly improved our understanding of the functional aspects of plasticity while introducing a surprisingly tremendous complexity due to numerous mechanisms involved despite sharing common “glutamatergic” mediators [2].
    [Show full text]
  • Sensorimotor Skill Learning in Amnesia: Additional Evidence for the Neural Basis of Nondeclarative Memory Daniel Tranel, 1 Antonio R
    Downloaded from learnmem.cshlp.org on September 24, 2021 - Published by Cold Spring Harbor Laboratory Press RESEARCH Sensorimotor Skill Learning in Amnesia: Additional Evidence for the Neural Basis of Nondeclarative Memory Daniel Tranel, 1 Antonio R. Damasio, Hanna Damasio, and Joan P. Brandt Department of Neurology Division of Behavioral Neurologyand Cognitive Neur0science University of I0wa College of Medicine I0wa City, I0wa 52242 Abstract Introduction We investigated sensorimotor skill A number of investigations have established learning, a form of nondeclarative (implicit) that the learning of new skills can be preserved in memory, in 28 subjects with declarative patients who are unable to learn new words, faces, (explicit) memory defects caused by either and facts (e.g., Corkin 1965, 1968; MilDer 1972; mesial temporal (n = 15) or basal forebrain Cermak et al. 1973; Cohen and Squire 1980; Mar- (n=13) damage and in 66 normal control tone et al. 1984; Eslinger and Damasio 1986; Ga- subjects. All 28 amnesics had normal brieli et al. 1993; for reviews, see Baddeley 1982; learning of a rotor pursuit task. We also Hintzman 1990; Shimamura 1990; Cohen and studied in detail the sensorimotor skill Eichenbaum 1993). The concepts of "declarative" learning of patient Boswell. As a result of and "nondeclarative" memory have been used to bilateral damage to both mesial and lateral refer to the different types of information and task aspects of the temporal lobes and to the demands that are dissociated in such patients basal forebrain, Boswell has one of the most (Squire 1992). Declarative memory refers to rep- severe impairments ever reported for resentations of facts and events that can only be learning of all types of declarative brought to mind in image form.
    [Show full text]
  • The Relationship of Motor Skills Development to Verbal and Visual Short-Term Memory of Children Aged 9-10 Years
    THE RELATIONSHIP OF MOTOR SKILLS DEVELOPMENT TO VERBAL AND VISUAL SHORT-TERM MEMORY OF CHILDREN AGED 9-10 YEARS By Fadya Mahrous Jerojeis A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of Kinesiology-Doctor of Philosophy 2017 ABSTRACT THE RELATIONSHIP OF MOTOR SKILLS DEVELOPMENT TO VERBAL AND VISUAL SHORT-TERM MEMORY OF CHILDREN AGED 9-10 YEARS By Fadya Mahrous Jerojeis Introduction: the association between physical and cognitive development relies on the essential role that early motor development has in improving cognitive ability over time. This association highlights the need to explore the relationship between motor skills and cognitive functions (e.g., working memory capacity, attention, and inhibition) and whether the relation is specific to certain categories of motor and cognitive skills. Thus, the purpose of the current study is to examine the relationship among the level of fundamental motor skills (FMS) of both locomotor and object-control skills, verbal short-term memory (STM) and visuospatial short- term memory (STM), and gender. Information regarding ethnicity, BMI, and parents’ education level of the participants was collected for exploratory purposes. Method: A cross-sectional study was used to examine the relationship between FMS and verbal STM and visuospatial STM. Sixty-one children aged 9-10 years (boys: n = 28; 45.9% and girls: n = 33; 54.1%) were selected from five regions in Michigan. Two instruments were used to examine the relationship between FMS and verbal STM and visuospatial STM. The level of motor skills development determined by Test of Growth and Motor Development-2 (TGMD-2), and the level of verbal STM and visuospatial STM determined by Automated WM Assessment– Second Edition (AWMA).
    [Show full text]
  • Final Program, the International Neuropsychological Society
    Journal of the International Neuropsychological Society (2009 ), 1 5, Su ppl. 2. C opy right © INS. Published by Cambridge University Press, 2009. doi: 10.1017/S135561770 9 9 9 1044 Final Program The International Neuropsychological Society, Finnish Neuropsychological Society, Joint Mid-Year Meeting July 29-August 1, 2009 Helsinki, Finland & Tallinn, Estonia WEDNESDAY, JULY 29, 2009 9:00 AM–12:00 PM Continuing Education Course 1: Cerebral Palsy And Traumatic Brain Injury: A Family-Based Approach To The Rehabilitation Of The Child Presenter: Lucia Braga Press Room 9:00 AM–12:00 PM Continuing Education Course 2: Clinical & Psychometric Strategies For Improving Accuracy For Identifying Cognitive Impairment Presenter: Grant Iverson Fennia II 1:00–4:00 PM Continuing Education Course 3: Neuropsychotherapy: Guidelines For A New Integrated Field Of Neuropsychological Treatment Presenter: Ritva Laaksonen Fennia I 1:00–4:00 PM Continuing Education Course 4: The Functional Neuroanatomy Of Semantic Memory Presenter: Alex Martin Fennia II 1:00–4:00 PM Continuing Education Course 5: Neurodevelopmental Consequences Of Very Low Birth Weight: Current Knowledge And Implications Presenter: H. Gerry Taylor Press Room 4:15–4:45 PM Opening Ceremony Europaea 4:45–5:30 PM Presidential Address: Time, Language, and the Human Brain INS President: Michael Corballis Europaea 1. CORBALLIS, M Time, Language, and the Human Brain. 6:00–7:30 PM Helsinki City Reception Helsinki City Hall Downloaded from https://www.cambridge.org/core. IP address: 170.106.35.93, on 26 Sep 2021 at 02:03:36, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms.
    [Show full text]
  • Attentional Focus, Motor Learning, and Expectancy Effect Wichanart Thengtrirat Bachelor of Arts (Psychology, Sport Studies) (Hons)
    Attentional focus, motor learning, and expectancy effect Wichanart Thengtrirat Bachelor of Arts (Psychology, Sport Studies) (Hons) A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2014 School of Psychology 2 Abstract This dissertation examines the effect of attentional focus and expectancy on motor performance. The theoretical basis of attentional focus effects come from previous works of internal versus external type of focuses (Wulf, 2007), which states that external type of focus is superior for learning and performing motor skills. The theoretical mechanism of external versus internal focus is explained in relation to motor automaticity. Another series of research on the similar concept of attentional focus and motor performance utilised a distraction method (dual-task paradigm) to come to a similar conclusion (Beilock, 2011). Experts’ performance is not affected by distraction because their motor skills is automated and require low attentional capacity. The current research ran a series of studies to replicate and extend these previous findings and clarify some of the conflicting classification of different types of focuses. The purpose was to simplify some of the theoretical issues and enhance ecological validity for practitioners (e.g. coaches and athletes). However, current experiments did not find statistical significance of attentional focus effects on performance. Hence, the direction of the research turned to look at other variables potentially affecting performance. A key variable from the conducted experiments was identified as participants’ outcome expectancy. This expectancy effect was then manipulated in the research designs of two further studies which found significant effects. Participants performed accordingly to their outcome expectation regardless of the internal, external, or distraction methodology used.
    [Show full text]
  • Working Memory Capacity Limits Motor Learning When Implementing Multiple Instructions
    ORIGINAL RESEARCH published: 22 August 2017 doi: 10.3389/fpsyg.2017.01350 Working Memory Capacity Limits Motor Learning When Implementing Multiple Instructions Tim Buszard1,2*, Damian Farrow1,3, Simone J. J. M. Verswijveren1,4, Machar Reid1,2, Jacqueline Williams1, Remco Polman1,5, Fiona Chun Man Ling1,7 and Rich S. W. Masters6,8 1 2 Institute of Sport, Exercise and Active Living, Victoria University, Melbourne, VIC, Australia, Game Insight Group, Tennis Australia, Melbourne, VIC, Australia, 3 Skill Acquisition, Australian Institute of Sport, Canberra, ACT, Australia, 4 Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia, 5 School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, QLD, Australia, 6 Faculty of Health, Sport and Human Performance, University of Waikato, Hamilton, New Zealand, 7 Department of Psychology, Bournemouth University, Poole, United Kingdom, 8 School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong Although it is generally accepted that certain practice conditions can place large demands on working memory (WM) when performing and learning a motor skill, the influence that WM capacity has on the acquisition of motor skills remains Edited by: unsubstantiated. This study examined the role of WM capacity in a motor skill practice Maarten A. Immink, context that promoted WM involvement through the provision of explicit instructions. A University of South Australia, Australia cohort of 90 children aged 8 to 10 years were assessed on measures of WM capacity Reviewed by: and attention. Children who scored in the lowest and highest thirds on the WM tasks Alberto Cordova, University of Texas at San Antonio, were allocated to lower WM capacity (n D 24) and higher WM capacity (n D 24) groups, United States respectively.
    [Show full text]
  • Golf Coaches Need to Know About
    5 Critical Pieces of Research All Golf Coaches Need To Know About There is a lot of incredibly valuable research going on in the fields of player development and learning that coaches need to be familiar with. The golf-coaching world is changing, and it’s for the better. Coaches around the globe are paying more attention to developing great athletes and players. These 5 pieces of research are a foundation for golf coaches, and an introduction toward changing the way golf is taught. Varying the Conditions of Learning .................................2 Learning vs. Performance..................................................4 Contextual Interference .....................................................5 Feedback ................................................................................ 7 Self-Organization, Constraints, and Dynamical Systems .....................................................9 5 Critical Pieces Of Research 1 All Golf Coaches Need To Know About Varying the Conditions of Learning #1 Conditions for learning have been misunderstood for some time. We as golf coaches have been under the illusion that providing tasks in a fixed manner, also referred to as blocked/massed practice tasks, and conducting these practice tasks in one location helps in the development and acquisition of golf skills. For decades we have instructed our students both young and old to complete a set number Don’t believe that a task like this can’t be correlated of learning trials of a particular drill. What was to golf? No doubt the tasks are different, however once believed (lots of repetitions doing this drill, movement is not. Movement is the same process in this place, will create muscle memory) has now psychologically whether it is throwing a beanbag, or been disproven, and suggestions toward a more hitting a golf ball.
    [Show full text]
  • Learning and Memory
    Introduction to Physiological Psychology Learning and Memory [email protected] cogsci.ucsd.edu/~ksweeney/psy260.html Comments on your comments n Thank you! n Some things that I can change NOW: – Slow down? – Post draft of lecture before class – Have more visual demonstrations? – Continue to find videos when possible 1 Comments on your comments n Some things I can change in the future: – Cover less material n Some things I can’t change: – This is physiological psychology… so a certain amount of chemistry and biology (and all the new and strange terminology that goes along with that) is inevitable n Learning – the process whereby experiences change our nervous system (and hence, our behavior) n Memory- the changes brought about by learning, the storage and reactivation of these changes 2 List 1 List 2 List 3 Bed Butter Nurse Rest Food Sick Awake Eat Lawyer Tired Sandwich Medicine Dream Rye Health Wake Jam Hospital Night Milk Dentist Blanket Flour Physician Doze Jelly Ill Slumber Dough Patient Snore Crust Office Pillow Slice Stethoscope Peace Wine Surgeon Yawn Loaf Clinic Drowsy Toast Cure Roediger & McDermott, 1995 3 List 1 List 2 List 3 Sleep Bread Doctor Bed Butter Nurse Rest Food Sick Awake Eat Lawyer Tired Sandwich Medicine Dream Rye Health Wake Jam Hospital Night Milk Dentist Blanket Flour Physician Doze Jelly Ill Slumber Dough Patient Snore Crust Office Pillow Slice Stethoscope Peace Wine Surgeon Yawn Loaf Clinic Drowsy Toast Cure Roediger & McDermott, 1995 What is memory? n Working Memory: – Limited capacity (7 +/- 2) – Information can be held for several minutes with rehearsal § (e.g.
    [Show full text]
  • Motor Skills Education Program & Clinic
    Bethune-Cookman University MOTOR SKILLS EDUCATION PROGRAM & CLINIC PROCEDURES HANDBOOK Bethune-Cookman University School of Education Timothy A. Mirtz DC, PhD, CAPE CONTACT INFORMATION 640 Dr. Mary McLeod Bethune Blvd. Daytona Beach, Florida 32114 [email protected] Kottle 221 (386) 481-2395 *Revised January 2017 TABLE OF CONTENTS College of Education Conceptual Framework 3 MOTOR SKILLS EDUCATION PROGRAM & CLINIC CLIENT SECTION 4 Program philosophy 4 Program mission 4 Program objectives 4 Opportunities 5 Movement exploration 5 Motor Skills Education Program & Clinic Application 6 Medical & Developmental History Quick Reference Form 6 Release Form 9 Fee for Services Notification 9 Picture Release Form 9 Release of Information 9 Policy on Release of Child 9 Initial Screening 10 Proprioception Tests 11 Coordination Tests 11 Cranial Nerve Assessment 12 Results of Assessment and ABCD Goals 13 Progress Notes 14 MOTOR SKILLS EDUCATION PROGRAM & CLINIC STUDENT SECTION 15 Policies and Procedures 16 Internship Activities Form (see also page 32) 17 Lesson Planning 18 Lesson Planning Rubric 19 Attitudes and Belief Survey Pre-test 21 Journal Reflection Questions 22 Rubric for IEP 23 Danielson’s Contextual Factors 24 TOOLBOX OF ABILITIES 25 Glossary to Terms 26 NASPE Standards 29 Core Principles 30 Addendum: Quick Disposition Form 30 Addendum: Additional Log Hours 31 2 3 MOTOR SKILLS EDUCATION PROGRAM & CLINIC CLIENT SECTION § Program Philosophy: The belief that all people can learn through play. § Program Mission: The mission of the Motor Skills Education Program & Clinic is to offer a curriculum of developmental motor skill activities to children and special needs children and adults in the community and surrounding area and to provide an avenue of an embedded practicum training experience for students majoring in health, physical education, exercise science and therapeutic recreation.
    [Show full text]
  • The Brain in Motion: How Ensemble Fluidity Drives Memory-Updating and Flexibility William Mau1*, Michael E Hasselmo2, Denise J Cai1*
    REVIEW ARTICLE The brain in motion: How ensemble fluidity drives memory-updating and flexibility William Mau1*, Michael E Hasselmo2, Denise J Cai1* 1Neuroscience Department, Icahn School of Medicine at Mount Sinai, New York, United States; 2Center for Systems Neuroscience, Boston University, Boston, United States Abstract While memories are often thought of as flashbacks to a previous experience, they do not simply conserve veridical representations of the past but must continually integrate new information to ensure survival in dynamic environments. Therefore, ‘drift’ in neural firing patterns, typically construed as disruptive ‘instability’ or an undesirable consequence of noise, may actually be useful for updating memories. In our view, continual modifications in memory representations reconcile classical theories of stable memory traces with neural drift. Here we review how memory representations are updated through dynamic recruitment of neuronal ensembles on the basis of excitability and functional connectivity at the time of learning. Overall, we emphasize the importance of considering memories not as static entities, but instead as flexible network states that reactivate and evolve across time and experience. Introduction Memories are neural patterns that guide behavior in familiar situations by preserving relevant infor- mation about the past. While this definition is simple in theory, in practice, environments are *For correspondence: [email protected] (WM); dynamic and probabilistic, leaving the brain with the difficult task of shaping memory representa- [email protected] (DJC) tions to address this challenge. Dynamic environments imply that whatever is learned from a single episode may not hold true for future related experiences and should therefore be updated over Competing interests: The time.
    [Show full text]
  • Implicit Knowledge, Stress and Skill Failure R.S.W. Masters
    Implicit knowledge, stress and skill failure R.S.W. Masters Submitted in fulfilment of the requirements for the Degree of Doctor of Philosophy The Department of Psychology University of York England September 1992 Contents Figures Tables iv Acknowledgements Abstract vi Prologue Chapter 1: An introduction 1.1 Implicit learning 3 1.2 The passage of learning: From inexpert to expert 5 1.3 Skill failure: From expert to inexpert 7 1.4 Stress and skill failure 10 1.5 Theories relevant to the role of stress in performance 12 1.6 The thesis structure 26 Chapter 2: The role of explicit versus implicit knowledge in the breakdown of a complex motor skill under pressure 2.1 An introduction to Study 1 28 2.2 Method 31 2.3 Results 35 2.4 Discussion 45 Chapter 3: Reminiscing about implicit learning 3.1 An introduction to Study 2 49 3.2 Method 52 3.3 Results 55 3.4 Discussion 57 [ii Chapter 4: 'Reinvestment': A dimension of personality implicated in skill breakdown under pressure 4.1 An introduction to Study's 3, 4, 5 & 6 60 4.2 Study 3 63 4.2.1 Method & Results 64 4.2.2 Discussion 66 4.3 Study 4 68 4.3.1 Method 68 4.3.2 Results 71 4.3.3 Discussion 77 4.4 Study 5 77 4.4.1 Method 77 4.4.2 Results & Discussion 78 4.5 Study 6 79 4.5.1 Method 79 4.5.2 Results & Discussion 79 4.6 General Discussion 81 Chapter 5: Conclusions 5.1 A summary of the aims and findings 84 5.2 Further research 87 5.3 Practical applications 93 References 101 Appendices 117 Figures Figure 1.1: The inverted-U performance/arousal curve 13 Figure 1.2: The catastrophe model of the relationship
    [Show full text]