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Author:

Lu, Yi (Lu, Yi.) | Huang, Tao (Huang, Tao.) | Liu, Jian (Liu, Jian.) | Gong, Jiangtao (Gong, Jiangtao.)

Indexed by:

EI Scopus

Abstract:

In the Plan for New-generation Artificial Intelligence Development promulgated by the state in recent years, the introduction of artificial intelligence and immersive teaching into smart education has been put forward, aiming to construct the online education model with an XR integration and to build interactive learning environment through the energizing of 5G. This project discusses about how to design education products integrating virtual and real factors so as to effectively improve the situationality and experience of children in the learning of music theory, mobilize children to learn through visual sense, kinesthesis, hearing and other senses with the help of AR recognition technology, thus presenting abstract concepts and theories to the children in a more intuitive way, thus improving their learning efficiency. Finally, the researchers designed and developed a set of game products for music learning combining software and hardware, and a usability test of the prototype was conducted so as to carry out the iterated design. The design in this project addresses the problems of boredom and passive learning seen in children learning music theory in the traditional way, combines obscure knowledge of music theory with interactive games, thus promoting children learners’ understanding of music theory. The way of immersive learning with an integration of virtual and real factors, interactive means and perception methods have improved the learning efficiency and creativity of the learners, optimized the design and realization process of the interaction and feedback mechanism, and brought about game-changing changes to educational ideas and teaching approaches. © 2021, Springer Nature Switzerland AG.

Keyword:

E-learning Efficiency Engineering education Learning systems Artificial intelligence Product design Software testing Software prototyping Teaching Curricula Game design Audition Computer aided instruction

Author Community:

  • [ 1 ] [Lu, Yi]Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Huang, Tao]Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Liu, Jian]Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Gong, Jiangtao]Lenovo Group Co., LTD., Beijing; 100085, China

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Source :

ISSN: 0302-9743

Year: 2021

Volume: 12785 LNCS

Page: 292-301

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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