超越艰苦训练:利用沉浸式技术进行个性化跑步训练的多模式框架

IF 6.7 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Fernando Pedro Cardenas Hernandez, Jan Schneider, Daniele Di Mitri, Ioana Jivet, Hendrik Drachsler
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引用次数: 0

摘要

跑步训练并不简单,因为如果没有适当的个性化指导和规划,人们不仅无法提高成绩,还会增加受伤的风险。本研究旨在确定影响跑步训练计划的不同因素,研究个性化计划的益处、挑战或局限性。此外,本研究还探讨了多模态、沉浸式和人工智能技术如何支持个性化训练。我们进行了一项探索性顺序混合研究,包括对来自不同国家的 11 名跑步教练进行访谈,以及对 12 名跑步教练进行调查。根据访谈和调查分析,我们确定并提取了训练过程中的相关因素。我们确定了跑步训练的四个相关方面:体能、技术、心理和身体意识。以这些方面为参考,我们采用自下而上的方法得出了一个框架。该框架提出了多模态、沉浸式和人工智能技术,以促进个性化跑步训练。从业者须知关于本主题的已知信息 跑步是一项深受欢迎的运动,它有益健康,世界各地有许多人从事这项运动。训练是一个让运动员在运动中提高各方面发展的过程;就跑步而言,训练可以帮助运动员提高速度和耐力。个性化训练支持运动员的需求和能力,通过个性化的活动或计划帮助他们发挥潜能。体育科学研究表明,个性化训练可以通过应用技术来解决其挑战和局限性,从而得到改善。本文的补充 我们表明,个性化训练不仅需要关注跑步者的身体状况,还需要关注他们的心理、技术和身体意识等方面,因为每个人对训练的适应性不同。我们表明,多模态和沉浸式技术为测量和瞄准跑步训练中的心理和身体意识方面提供了合适的便携式方法。对实践和/或政策的启示 本文提出了一系列因素、测量方法和设备,教练可利用它们以更加个性化的方式规划和设计训练课程。本研究可作为未来研究的基础,旨在确定和针对影响体育学习和训练的各种因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Beyond hard workout: A multimodal framework for personalised running training with immersive technologies

Beyond hard workout: A multimodal framework for personalised running training with immersive technologies

Training to run is not straightforward since without proper personalised supervision and planning, people will not improve their performance and will increase the risk of injuries. This study aims to identify the different factors that influence running training programmes, examining the benefits, challenges or limitations of personalised plans. Moreover, this study explores how multimodal, immersive and artificial intelligence technologies can support personalised training. We conducted an exploratory sequential mixed research consisting of interviews with 11 running coaches from different countries and a survey of 12 running coaches. Based on the interviews and survey analysis, we identified and extracted relevant factors of the training process. We identified four relevant aspects for running training: physical, technical, mental and body awareness. Using these aspects as a reference, we derived a framework using a bottom-up approach. This framework proposes multimodal, immersive and artificial intelligence technologies to facilitate personalised running training. It also allows coaches to personally guide their athletes on each aspect.

Practitioner notes

What is already known about this topic

  • Running is a popular sport that provides health benefits and is practised by many people around the world.
  • Training is a process that enables athletes to improve their development in various aspects of their sport; in the case of running, it helps them to increase their speed and endurance.
  • Personalised training supports the needs and abilities of athletes, by helping them to achieve their potential through individualised activities or programmes.
  • Sports science research indicates that personalised training can be improved by applying technology to tackle its challenges and limitations.

What this paper adds

  • We show that personalising the training requires not only focusing on the runners' physical condition but also on their mental, technical and body awareness aspects, where each of them has a different adaptation to training.
  • We show that multimodal and immersive technologies offer suitable and portable ways to measure and target the mental and body awareness aspects during running training.

Implications for practice and/or policy

  • This paper presents a list of factors, measures and devices that coaches can use to plan and design their training sessions in a more personalised manner.
  • This study can serve as a foundation for future research that aims to identify and target the various factors that influence the learning and training of sports.
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来源期刊
British Journal of Educational Technology
British Journal of Educational Technology EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
15.60
自引率
4.50%
发文量
111
期刊介绍: BJET is a primary source for academics and professionals in the fields of digital educational and training technology throughout the world. The Journal is published by Wiley on behalf of The British Educational Research Association (BERA). It publishes theoretical perspectives, methodological developments and high quality empirical research that demonstrate whether and how applications of instructional/educational technology systems, networks, tools and resources lead to improvements in formal and non-formal education at all levels, from early years through to higher, technical and vocational education, professional development and corporate training.
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