Description

• Title:
  Exploring the Pathways for Applying Big Data in Dance Education
• Creator:
  Dai, Qin;
  Zhao, Ziyi
• Description:
  Based on the practical cases of big data in dance education, this study discusses the application of big data in dance education from the perspectives of physical assessment and psychological assessment. The research results show that teachers can not only use big data technology to support dance teaching, but also draw inspiration from big data thinking to inspire students. At the same time, big data technology can assess students' physical ability on the one hand, and pay attention to students' mental health on the other hand. A comprehensive understanding of these aspects will help the dance education industry to keep pace with the times and promote the improvement of dance teaching quality.
• Object availability:
  free access
• Rights: https://creativecommons.org/licenses/by-nc-sa/4.0 ;
  Prawa autorskie (c) 2025 Qin Dai, Ziyi Zhao
• Date:
  2025.01.01
• Type:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion
• Language:
  English
• Source:
  Pedagogy and Psychology of Sport; Vol. 21 (2025); 57462;
  Pedagogy and Psychology of Sport; Tom 21 (2025); 57462;
  2450-6605
• Format:
  application/pdf
• Publisher:
  Uniwersytet Mikołaja Koprenika w Toruniu
• Relation: https://apcz.umk.pl/PPS/article/view/57462/40934
• Subject:
  Big Data;
  Dance Education;
  Application Paths
• Identifier: https://apcz.umk.pl/PPS/article/view/57462
• Data provider:
  Akademicka Platforma Czasopism
• Can I use it?:
  seek permission
• Type:
  text