Jia Yi Chow

Bio: Jia Yi Chow is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Motor learning & Physical education. The author has an hindex of 29, co-authored 73 publications receiving 3191 citations. Previous affiliations of Jia Yi Chow include National Institute of Education & University of Otago.

A constraints-led perspective to understanding skill acquisition and game play: a basis for integration of motor learning theory and physical education praxis?

Abstract: Background: In order to design appropriate environments for performance and learning of movement skills, physical educators need a sound theoretical model of the learner and of processes of learning. In physical education, this type of modelling informs the organization of learning environments and effective and efficient use of practice time. An emerging theoretical framework in motor learning, relevant to physical education, advocates a constraints-led perspective for acquisition of movement skills and game play knowledge. This framework shows how physical educators could use task, performer and environmental constraints to channel acquisition of movement skills and decision making behaviours in learners. From this viewpoint, learners generate specific movement solutions to satisfy the unique combination of constraints imposed on them, a process which can be harnessed during physical education lessons. Purpose: In this paper the aim is to provide an overview of the motor learning approach emanating from the constraints-led perspective, and examine how it can substantiate a platform for a new pedagogical framework in physical education: nonlinear pedagogy. We aim to demonstrate that it is only through theoretically valid and objective empirical work of an applied nature that a conceptually sound nonlinear pedagogy model can continue to evolve and support research in physical education. We present some important implications for designing practices in games lessons, showing how a constraints-led perspective on motor learning could assist physical educators in understanding how to structure learning experiences for learners at different stages, with specific focus on understanding the design of games teaching programmes in physical education, using exemplars from Rugby Union and Cricket. Findings: Research evidence from recent studies examining movement models demonstrates that physical education teachers need a strong understanding of sport performance so that task constraints can be manipulated so that information-movement couplings are maintained in a learning environment that is representative of real performance situations. Physical educators should also understand that movement variability may not necessarily be detrimental to learning and could be an important phenomenon prior to the acquisition of a stable and functional movement pattern. We highlight how the nonlinear pedagogical approach is student-centred and empowers individuals to become active learners via a more hands-off approach to learning. Summary: A constraints-based perspective has the potential to provide physical educators with a framework for understanding how performer, task and environmental constraints shape each individual‟s physical education. Understanding the underlying neurobiological processes present in a constraints-led perspective to skill acquisition and game play can raise awareness of physical educators that teaching is a dynamic 'art' interwoven with the 'science' of motor learning theories.

The Role of Nonlinear Pedagogy in Physical Education

Abstract: In physical education, the Teaching Games for Understanding (TGfU) pedagogical strategy has attracted significant attention from theoreticians and educators alike because it allows the development of game education through a tactic-to-skill approach based on the use of modified games. However, it has been proposed that, as an educational framework, it currently lacks adequate theoretical grounding from a motor learning perspective to empirically augment its' perceived effectiveness by educators. In this paper we examine the literature base providing the theoretical underpinning for TGfU and explore the potential of a nonlinear pedagogical framework, based on Dynamical Systems Theory, as a suitable explanation for TGfU's effectiveness as a strategy in physical education teaching. The basis of nonlinear pedagogy involves the manipulation of key task constraints on learners to facilitate the emergence of functional movement patterns and decision-making behaviors. We explain how interpretation of motor learning processes from a nonlinear pedagogical framework can underpin educational principles of TGfU and provide a theoretical rationale for guiding implementation of learning progressions in physical education.

The role of nonlinear pedagogy in physical education

Abstract: In physical education, the Teaching Games for Understanding (TGfU) pedagogical strategy has attracted significant attention from theoreticians and educators alike because it allows the development of game education through a tactic-to-skill approach based on the use of modified games. However, it has been proposed that, as an educational framework, it currently lacks adequate theoretical grounding from a motor learning perspective to empirically augment its' perceived effectiveness by educators. In this paper we examine the literature base providing the theoretical underpinning for TGfU and explore the potential of a nonlinear pedagogical framework, based on Dynamical Systems Theory, as a suitable explanation for TGfU's effectiveness as a strategy in physical education teaching. The basis of nonlinear pedagogy involves the manipulation of key task constraints on learners to facilitate the emergence of functional movement patterns and decision-making behaviors. We explain how interpretation of motor learning processes from a nonlinear pedagogical framework can underpin educational principles of TGfU and provide a theoretical rationale for guiding implementation of learning progressions in physical education.

Nonlinear pedagogy: Learning design for self-organizing neurobiological systems

Abstract: In this paper, key concepts in ecological psychology and nonlinear dynamics exemplify how learning design can be shaped by ideas of self-organization, meta-stability and self-organized criticality in complex neurobiological systems. Through interactions with specific ecological constraints in learning environments, cognition, decision making and action emerge. An important design strategy is the use of different types of noise to channel the learning process into meta-stable regions of the “learner–learning environment” system to encourage adaptive behaviors. Here learners can be exposed to many functional and creative performance solutions during training. Data from studies in the performance context of sports are used to illustrate how these theoretical ideas can underpin learning design. Based on these insights a nonlinear pedagogy is proposed in which the role of coaches or trainers alters from a more traditional, prescriptive stance to the mode of manipulating key interacting task constraints including information, space and equipment to facilitate learning.

Biomechanics And Motor Control Of Human Movement

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Statistical Pattern Recognition

Abstract: This chapter introduces the subject of statistical pattern recognition (SPR). It starts by considering how features are defined and emphasizes that the nearest neighbor algorithm achieves error rates comparable with those of an ideal Bayes’ classifier. The concepts of an optimal number of features, representativeness of the training data, and the need to avoid overfitting to the training data are stressed. The chapter shows that methods such as the support vector machine and artificial neural networks are subject to these same training limitations, although each has its advantages. For neural networks, the multilayer perceptron architecture and back-propagation algorithm are described. The chapter distinguishes between supervised and unsupervised learning, demonstrating the advantages of the latter and showing how methods such as clustering and principal components analysis fit into the SPR framework. The chapter also defines the receiver operating characteristic, which allows an optimum balance between false positives and false negatives to be achieved.

The Senses Considered As Perceptual Systems

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Attentional focus and motor learning: a review of 15 years

Abstract: Over the past 15 years, research on focus of attention has consistently demonstrated that an external focus (i.e., on the movement effect) enhances motor performance and learning relative to an internal focus (i.e., on body movements). This article provides a comprehensive review of the extant literature. Findings show that the performance and learning advantages through instructions or feedback inducing an external focus extend across different types of tasks, skill levels, and age groups. Benefits are seen in movement effectiveness (e.g., accuracy, consistency, balance) as well as efficiency (e.g., muscular activity, force production, cardiovascular responses). Methodological issues that have arisen in the literature are discussed. Finally, our current understanding of the underlying mechanisms of the attentional focus effect is outlined, and directions for future research are suggested.