The influence of a gesture-based learning approach on preschoolers' learning performance, motor skills, and motion behaviors

被引:4
|
作者
Hsiao, Hsien-sheng [1 ]
Chen, Jyun-chen [1 ]
Lin, Chien-Yu [1 ]
Chen, Wen-Nong [1 ]
机构
[1] Natl Taiwan Normal Univ, Dept Technol Applicat & Human Resource Dev, Taipei, Taiwan
关键词
Gesture-based learning; game-based learning; motor skills; learning and motion behaviors; virtual interactive learning environment;
D O I
10.1080/10494820.2017.1419498
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This study developed a gesture-based learning approach to build a virtual interactive learning environment for preschoolers by combining a gesture-based computing device and a game-based learning model. Using sequential analysis, this study investigated how this approach influenced children's learning performance, motor skills, and motion behaviors. A quasi-experiment was conducted with 142 kindergarten-level-3 preschoolers. The results showed that the gesture-based learning approach improved the students' learning performance and motor skills compared with the traditional activity-based learning approach. The main learning pattern showed that the preschoolers controlled their body motion behaviors and movements to learning cognitive knowledge, which achieving a flow state that improved preschoolers' learning performance and motor skills. In addition, the main motion pattern showed that the preschoolers interacted with the game by coordinating their body movement with the projected human skeleton's movement, which improved their motor skills.
引用
收藏
页码:869 / 881
页数:13
相关论文
共 50 条
  • [41] Influence of Learning Activities Based on the Constructionism Approach in Digital Learning Ecosystem on Self-directed Learning Skills
    Techakosit, Somsak
    Rukngam, Teerapop
    International Journal of Interactive Mobile Technologies, 2024, 18 (12) : 85 - 98
  • [42] INFLUENCE OF SOME MOTOR ABILITIES ON THE BASIC GYMNASTICS SKILLS PERFORMANCE THROUGH THE LEARNING PROCESS
    Kalinski, Suncica Delas
    Jelaska, Petra Mandic
    Atikovic, Almir
    6TH INTERNATIONAL SCIENTIFIC CONFERENCE ON KINESIOLOGY: INTEGRATIVE POWER OF KINESIOLOGY, 2011, : 219 - 222
  • [43] Factors that Predict Learning of Gross Motor Skills in Preschoolers Participating in a Universally Designed Intervention
    Miedema, Sally
    Casner, Chandler
    Stribing, Alexandra
    Griffin, Stephen
    Case, Layne
    JOURNAL OF SPORT & EXERCISE PSYCHOLOGY, 2022, 44 : S19 - S19
  • [44] Embodied Cognition and Gesture-based Learning ICALT2014: Closing Ceremony Invited Speech
    Chen, Nian-Shing
    Fang, Wei-Chieh
    2014 14TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT), 2014, : 6 - 7
  • [45] Advancements in Machine Learning Techniques for Hand Gesture-Based Sign Language Recognition: A Comprehensive Review
    Rastogi, Umang
    Mahapatra, Rajendra Prasad
    Kumar, Sushil
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2025,
  • [46] Motor learning based on biological motion demonstrations
    Rodrigues, Sergio Tosi
    Castello, Vania Maria
    Jardim, Juliana Gomes
    Aguiar, Stefane Aline
    MOTRIZ-REVISTA DE EDUCACAO FISICA, 2012, 18 (04): : 636 - 645
  • [47] Gesture-Based learning for Preschooler: A Case Study of Teaching English Alphabet and Body Parts Vocabulary
    Hsu, Chia-Ning
    Cheng, I-Ling
    Chew, Sie Wai
    Wu, Guan Ying
    Zhu, Chun-Yu
    Liu, Pin-Yang
    Chen, Nian-Shing
    2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT), 2016, : 332 - 336
  • [48] Gesture recognition approach based on learning sparse representation
    Xiao, L., 1600, Editorial Board of Journal on Communications (34):
  • [49] MOTOR LEARNING IN RHYTHMIC GYMNASTICS: INFLUENCE OF FUNDAMENTAL MOVEMENT SKILLS
    Kezic, Ana
    Miletic, Durdica
    Lujan, Ivana Kujundzic
    ACTA KINESIOLOGICA, 2018, 12 (02): : 20 - 27
  • [50] DNA of learning behaviors: A novel approach of learning performance prediction by NLP
    Lin C.-C.
    Cheng E.S.J.
    Huang A.Y.Q.
    Yang S.J.H.
    Computers and Education: Artificial Intelligence, 2024, 6