Dancing on the inside: A qualitative study on online dance learning with teacher-AI cooperation-Reference-Cited by-同舟云学术

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Dancing on the inside: A qualitative study on online dance learning with teacher-AI cooperation

Published:2023-03-04 Issue:9 Volume:28 Page:12111-12141
ISSN:1360-2357
Container-title:Education and Information Technologies
language:en
Short-container-title:Educ Inf Technol

Author:

Kang Jiwon^ORCID,Kang Chaewon,Yoon Jeewoo,Ji Houggeun,Li Taihu,Moon Hyunmi,Ko Minsam,Han Jinyoung

Funder

National Research Foundation of Korea

Institute for Information and Communications Technology Promotion

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Education

Link

https://link.springer.com/content/pdf/10.1007/s10639-023-11649-0.pdf

Reference63 articles.

1. Alexiadis, D. S., Kelly, P., Daras, P., O’Connor, N. E., Boubekeur, T., Moussa, M. B. (2011). Evaluating a dancer’s performance using inect-based skeleton tracking. In Proceedings of the 19th acm international conference on multimedia (pp. 659–662). Association for Computing Machinery.

2. Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., … et al. (2019). Guidelines for human-ai interaction. In Proceedings of the 2019 chi conference on human factors in computing systems (pp. 1–13). Association for Computing Machinery.

3. Anderson, F., Grossman, T., Matejka, J., Fitzmaurice, G. (2013). Youmove: enhancing movement training with an augmented reality mirror. In Proceedings of the 26th annual acm symposium on user interface software and technology (pp. 311–320). Association for Computing Machinery.

4. Arisidou, A., Stavrakis, E., Charalambous, P., Chrysanthou, Y., & Himona, S. L. (2015). Folk dance evaluation using laban movement analysis. Journal on Computing and Cultural Heritage (JOCCH), 8(4), 1–19.

5. Camurri, A., El Raheb, K., Even-Zohar, O., Ioannidis, Y., Markatzi, A., Matos, J. -M., … Whatley, S. (2016a). Wholodance: Towards a methodology for selecting motion capture data across different dance learning practice. In Proceedings of the 3rd international symposium on movement and computing (pp. 1–2). Association for Computing Machinery.

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