Symbiotic learning partnerships in youth action sports: Vibing, rhythm, and analytic cycles

Hollett, Ty

doi:10.1177/1354856517735840

Cited by 12 publications

(6 citation statements)

References 22 publications

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“…Almost all used others as formal (show me how) or informal (covert watching) models. Additionally, although not strictly explanations, verbal input from other riders was extremely common across our sample, for example something Hollett (2019) has termed “vibing,” was a common feature. This involved small symbiotic relationships across riders.…”

Section: Results and Brief Discussionmentioning

confidence: 97%

Show Me, Tell Me: An Investigation Into Learning Processes Within Skateboarding as an Informal Coaching Environment

Collins

Carson

2022

Front. Psychol.

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Coach education is a learner-centred process, which often fails to consider the preferences of the consumer. Historically, research into performers’ experiences of coaching have been influenced by the social constructivism of learning: in short, an expressed preference for what the performer has experienced as determined by their coach, rather than their own personal preferences. Therefore, this research used skateboarding as a natural laboratory in order to explore the current practices and preferences of performers in a coach-free environment. Ninety-one skateboarders from parks in the United Kingdom and New Zealand offered information relating to their current learning practices, how they learnt about learning, and how the top-level performers in their environment were differentiated. Findings suggest that a number of learning tools are used by performers, which are closely aligned with a more traditional, cognitive view of coaching (e.g., demonstration, drills, and error usage). Results also suggest that performers deployed a number of cognitive skills (e.g., imagery, analogy, and understanding) to enhance storage of a movement as an internal representation. Finally, in the absence of formal coaching, performers use their knowledge of learning to appoint informal leaders. Implications for practice are discussed.

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Section: Results and Brief Discussionmentioning

confidence: 97%

Show Me, Tell Me: An Investigation Into Learning Processes Within Skateboarding as an Informal Coaching Environment

Collins

Carson

2022

Front. Psychol.

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“…Thorpe (2017) has also flagged the role of drones for reproducing and reinvigorating action sports for television. Additionally, drone and Go-Pro footage shot by amateur participations (Hollett, 2019), as well as by professional surfers (Evers, 2019) and rock-climbers (Dumont, 2017), is often uploaded to sites such as YouTube , infusing participant-fan footage with access, engagement, analysis and for further dissemination.…”

Section: Legacy Media: “Passive” Spectatorship To the Fan-as-pseudo-pmentioning

confidence: 99%

“…Nevertheless, such developments point to the future entwining of sport, technology and fandom. It is envisaged that technological refinements will further advance the existing first-person pseudo-participatory practices of action/extreme/adventure sports (Dumont, 2017; Evers, 2019; Hollett, 2019), while there is scope for similar innovations and emerging tech-sport opportunities to be adopted across other mainstream sports and media coverage.…”

Section: Tech-sport Futures and The Fan-as-immersed-participantmentioning

confidence: 99%

Fans as e-participants? Utopia/dystopia visions for the future of digital sport fandom

Sturm

2020

Convergence: The International Journal of Research into New Med

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Media technologies and digital practices are reshaping and redefining the future of sport fandom. This article points to some of the utopian and dystopic transformations for fandom presented by (post)television, digital/social media and the anticipated virtual technologies of the future. Specifically, three distinct phases of fan participation are charted around existing and futuristic visions of technology-as-sport. First are the current televisual technologies that attempt to engage and retain traditionally “passive” viewers as spectators through pseudo-participatory perspectives that will carry over to new screens and technologies. Second, the assumed interactive participation afforded by social and digital media is considered, positing the future amplification of connectivity, personalisation and networking across digital fan communities, albeit undercut by further impositions of corporatisation and datafication through illusory forms of “interactivity”. Finally, the fusion, intensification and continual evolution of technology-as-sport is explored, asserting that forms of immersive participation will be significant for future virtual technologies and may ultimately re-position fans as e-participants in their own media-tech sport spectacles. Collectively, it is anticipated that the creation of new virtual worlds, spaces and experiences will amplify and operationalise forms of immersive participation around augmented spectatorship, virtual athletic replication and potentially constitute the sport itself. Indeed, a new model of the fan-as-immersed-e-participant is advanced as such futuristic virtual sporting realms may not only integrate fans into the spectacle but also project them into the event as participant and as the spectacle.

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“…Standard actions are crucial to sports training of athletes and daily exercise of ordinary people. The recognition and analysis of whether sports actions are up to standard help athletes carry out scientific training and improve their competitiveness [11][12][13][14][15][16][17][18][19]. Therefore, it is very significant to study the recognition of sports actions.…”

Section: Introductionmentioning

confidence: 99%

Image Recognition of Standard Actions in Sports Videos Based on Feature Fusion

Wu¹

2021

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Standard actions are crucial to sports training of athletes and daily exercise of ordinary people. There are two key issues in sports action recognition: the extraction of sports action features, and the classification of sports actions. The existing action recognition algorithms cannot work effectively on sports competitions, which feature high complexity, fine class granularity, and fast action speed. To solve the problem, this paper develops an image recognition method of standard actions in sports videos, which merges local and global features. Firstly, the authors combed through the functions and performance required for the recognition of standard actions of sports, and proposed an attention-based local feature extraction algorithm for the frames of sports match videos. Next, a sampling algorithm was developed based on time-space compression, and a standard sports action recognition algorithm was designed based on time-space feature fusion, with the aim to fuse the time-space features of the standard actions in sports match videos, and to overcome the underfitting problem of direct fusion of time-space features extracted by the attention mechanism. The workflow of these algorithms was explained in details. Experimental results confirm the effectiveness of our approach.

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Symbiotic learning partnerships in youth action sports: Vibing, rhythm, and analytic cycles

Cited by 12 publications

References 22 publications

Show Me, Tell Me: An Investigation Into Learning Processes Within Skateboarding as an Informal Coaching Environment

Show Me, Tell Me: An Investigation Into Learning Processes Within Skateboarding as an Informal Coaching Environment

Fans as e-participants? Utopia/dystopia visions for the future of digital sport fandom

Image Recognition of Standard Actions in Sports Videos Based on Feature Fusion

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