Training the Body: The Potential of AIED to Support Personalized Motor Skills Learning

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• 作者：Olga C. Santos
• 关键词：Procedural learning ; Motor skills learning ; Psychomotor learning domain ; Artificial intelligence ; Education ; Internet of me ; Quantified ; self ; Wearable devices ; Big data ; 3D modelling ; 3D printing ; Ambient intelligence ; TORMES methodology
• 刊名：International Journal of Artificial Intelligence in Education
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：26
• 期：2
• 页码：730-755
• 全文大小：593 KB
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• 作者单位：Olga C. Santos (1)
  
  1. aDeNu Research Group. Artificial Intelligence Dept. Computer Science School, UNED, Madrid, Spain
  
• 刊物类别：Artificial Intelligence (incl. Robotics); Educational Technology; User Interfaces and Human Computer
• 刊物主题：Artificial Intelligence (incl. Robotics); Educational Technology; User Interfaces and Human Computer Interaction; Computers and Education;
• 出版者：Springer New York
• ISSN：1560-4306

文摘

This paper argues that the research field of Artificial Intelligence in Education (AIED) can benefit from integrating recent technological advances (e.g., wearable devices, big data processing, 3D modelling, 3D printing, ambient intelligence) and design methodologies, such as TORMES, when developing systems that address the psychomotor learning domain. In particular, the acquisition of motor skills could benefit from individualized instruction and support just as cognitive skills learning has over the last decades. To this point, procedural learning has been considered since the earliest days of AIED (dating back to the 1980’s). However, AIED developments in motor skills learning have lagged significantly behind. As technology has evolved, and supported by the do-it-yourself and quantified-self movements, it is now possible to integrate emerging interactive technologies in order to provide personal awareness and reflection for behavioural change at low cost and with low intrusion. Many activities exist that would benefit from personalizing motor skills learning, such as playing a musical instrument, handwriting, drawing, training for surgery, improving the technique in sports and martial arts, learning sign language, dancing, etc. In this context, my suggestions for AIED research in the coming 25 years focus on addressing challenges regarding 1) modelling the psychomotor interaction, and 2) providing appropriate personalized psychomotor support.