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SDG 专题征稿 | 具身学习

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具身学习

Embodied Learning

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客座编辑:Liye Zou, Johan Mårtensson, Qian Yu, Myrto Mavilidi, Xiaoqing Gu, Markus Raab & Fred Paas

期刊名称:npj Science of Learning

截止日期:2027年1月10日

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客座编辑

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Liye Zou, PhD, School of Psychology, Wuhan Sport University, China

Professor Liye Zou received his PhD in Exercise Sciences from Springfield College (USA) in 2017 and is currently a Full Professor in the School of Psychology at Wuhan Sports University. He serves as Principal Investigator of the Body-Brain-Mind Laboratory and is an advocate of the World Health Organization consensus statement on 24-hour movement behaviors. Professor Zou has published more than 150 SCI/SSCI-indexed articles in leading journals, including Nature Human Behaviour, Trends in Cognitive Sciences, Trends in Neurosciences, Trends in Molecular Medicine, Advanced Science, British Journal of Sports Medicine, and Journal of Sport and Health Science. His research has been widely cited by the World Health Organization and by China Education News, a major government-funded newspaper in China. In recognition of his scientific impact, he was named among the World’s Top 2% Scientists (2022-2023) in the Stanford University ranking (Ioannidis et al.).

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Johan Mårtensson, PhD, Lund University, Sweden

Dr. Johan Mårtensson, is Associate Professor and Head of office at Logopedics Phoniatrics and Audiology at Lund University with a joint appointment at the Humanities Lab. His research focuses on intervention studies using longitudinal MRI during language learning, often in school settings and in collaboration with teachers. His work relies on developments in MR physics to try to get a better understanding of what goes on when brain structure and function change during education.  

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Qian Yu, PhD, University of Macau, Macau, China

Dr. Qian Yu is a researcher in brain health and cognition whose work explores how lifestyle factors, including physical activity, mindfulness, and sedentary behavior, shape learning, cognitive function, and mental health across the lifespan. Her research combines multimodal neuroimaging, behavioral experimentation, physiological assessment, large-scale population databases, meta-analysis, Mendelian randomization, and machine learning. With expertise in MRI, fNIRS, EEG, TMS, and eye tracking, she aims to translate mechanistic insights from brain and behavior research into practical strategies for enhancing learning and promoting cognitive health.

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Myrto Mavilidi, PhD, Southern Cross University, Australia

Dr. Myrto Mavilidi is an Associate Professor of Brain and Learning at the Faculty of Education, Southern Cross University, Australia. Her current research is centred on the integration of movements and learning experiences, specifically through the design, development, implementation, and evaluation of school-based programs that blend movements with academic learning for children. She is looking at the benefits of active learning and cognitively engaging physical activity, through physically active lessons and active breaks, on children’s physical and cognitive (e.g., executive function, academic performance) and mental health outcomes. The main theoretical frameworks of her work are cognitive load theory and embodied cognition. She is the Chief Investigator with the Australian Research Council on a project on digital active learning in young children and Associate Investigator with the Australian Research Council Centre of Excellence for the Digital Child.

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Xiaoqing Gu, PhD, East China Normal University, China

Dr. Xiaoqing Gu is a professor and head of Department of Educational Information Technology, Faculty of Education, East China Normal University. She is the head of Shanghai Engineering Research Center of Digital Education Equipment. She is deeply committed to the research and practice of ICT in education. Research interests includes: artificial intelligence in education, learning sciences, learning analytic.  

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Markus Raab, PhD, German Sport University Cologne, Germany

Dr. Markus Raab is director and professor for psychology at the Institute of Psychology at the German Sport University, Cologne. He is Editor-in-Chief of Psychology, Sport and Exercise and past-president of the European Federation of Sport Psychology (FEPSAC). He received a PhD in sport science as well as a PhD in psychology and was fourteen times awarded by ECSS, FEPSAC, asp, DOSB, NCA, DGPs for his research. He published seven books and over 100 papers in peer-reviewed journals. His main areas he is interested in covers judgment and decision making in sports and beyond, embodiment as well as motor learning and motor control.

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Fred Paas, PhD, Erasmus University Rotterdam, Netherlands

Dr. Fred Paas is a Professor of Educational Psychology in the Department of Psychology, Education, and Child Studies at Erasmus University Rotterdam, the Netherlands. Since 1990, Dr. Paas has been a leading figure in the development of cognitive load theory, now regarded as one of the most influential frameworks in instructional design and educational research. His work focuses on applying cognitive load theory to design effective and efficient learning environments grounded in human cognitive architecture, and exploring the role of physical activity in managing cognitive load in technology-enhanced learning settings. Dr. Paas's research has had a major global impact, reflected in a Google Scholar h-index of 117 and over 76,000 citations. Since 2015, Dr. Paas has served as Editor-in-Chief of Educational Psychology Review, the leading journal in the field, and sits on the editorial board of the Journal of Educational Psychology. He is a Fellow of the American Educational Research Association (AERA).

专题征稿

具身学习涵盖从手势和物体操作到导航、社交互动以及情感和内感受信号等多种现象,其在课堂和数字环境(例如,虚拟现实/增强现实、实体界面、可穿戴设备、机器人)中的重要性日益凸显。与此同时,该领域也面临着一些关键的开放性问题:哪些具身机制是因果关系而非相关性?如何衡量具身性,包括存储的运动经验的离线效应以及运动过程中不同时间尺度上的在线效应?在什么条件下,具身强化能够提升迁移、保持和泛化能力?哪些调节因素和中介因素(例如,学习者特征、任务要求、技术、运动参数)会影响结果?以及哪些设计原则能够确保学习者在不同情境下都能获得稳健且公平的益处?

本专刊旨在汇集机制性、方法论和应用性研究成果,以推进具身学习在发展和生命周期中的理论和实证研究,并连接认知神经科学、教育心理学、学习科学和学习分析等领域。我们欢迎原创研究、元分析、系统/范围综述、叙述性综述和观点文章。

鉴于该领域的广度,我们尤其鼓励那些能够构建可推广的理论或测量框架,从而连接不同任务、领域和情境(例如,手势、虚拟现实/增强现实、社会具身认知、内感受)的研究。此类研究有助于减少碎片化,提高研究间的可比性。我们也特别邀请对边界条件的研究,包括具身认知无法促进学习甚至可能阻碍学习的情况。阐明具身认知方法何时、为何以及对哪些人群失效的研究,将有助于加深对机制的理解,并为实践提供指导。

研究主题包括但不限于以下方面:

•机制和理论:具身认知、行动论、动力系统、预测处理理论;感知-行动耦合;感觉运动和内感受对学习的贡献。

•在语言、数学、STEM 和概念学习中运用手势、动作和工具;在教学中运用多模态交流。

•技术丰富的环境中的具身学习:VR/AR/MR、触觉、有形用户界面、可穿戴设备和机器人;实现具身化的设计原则。

•社会具身性:共同行动、同步、协作、师生耦合和社会情境下的具身互动。

•神经生物学和生理学基础:运动和前运动系统、海马和皮层动力学、自主神经/情感生理学、神经调节影响。

•测量和分析:动作捕捉、惯性传感器、眼动追踪、语音/手势编码、生理传感、多模态学习分析、计算建模和因果推断。

•个体差异与包容性:发展、衰老、神经多样性、运动差异、无障碍和公平相关调节因素。

•结果与实施:迁移/推广、长期保留、生态效度、课堂部署、可扩展性和可重复性/复制性。

This collection supports and amplifies research related to SDG 3: Good Health and Well Being and SDG 4: Quality Education.

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