{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T14:24:10Z","timestamp":1751466250604,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031363351"},{"type":"electronic","value":"9783031363368"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-36336-8_115","type":"book-chapter","created":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T14:02:43Z","timestamp":1688047363000},"page":"747-755","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Danc\u00c6R: Efficient and Accurate Dance Choreography Learning by Feedback Through Pose Classification"],"prefix":"10.1007","author":[{"given":"\u0130remsu","family":"Ba\u015f","sequence":"first","affiliation":[]},{"given":"Demir","family":"Alp","sequence":"additional","affiliation":[]},{"given":"Lara Ceren","family":"Ergen\u00e7","sequence":"additional","affiliation":[]},{"given":"Andy Emre","family":"Ko\u00e7ak","sequence":"additional","affiliation":[]},{"given":"Sedat","family":"Yal\u00e7\u0131n","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,30]]},"reference":[{"issue":"8","key":"115_CR1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0071182","volume":"8","author":"P Reddish","year":"2013","unstructured":"Reddish, P., Fischer, R., Bulbulia, J.: Let\u2019s dance together: synchrony, shared intentionality and cooperation. PLoS ONE 8(8), e71182 (2013)","journal-title":"PLoS ONE"},{"key":"115_CR2","doi-asserted-by":"crossref","unstructured":"Tao, D., et al.: The physiological and psychological benefits of dance and its effects on children and adolescents: a systematic review. Front. Physiol. 13 (2022)","DOI":"10.3389\/fphys.2022.925958"},{"issue":"1","key":"115_CR3","doi-asserted-by":"publisher","first-page":"153","DOI":"10.3102\/0034654307313795","volume":"78","author":"VJ Shute","year":"2008","unstructured":"Shute, V.J.: Focus on Formative Feedback. Rev. Educ. Res. 78(1), 153\u2013189 (2008)","journal-title":"Rev. Educ. Res."},{"key":"115_CR4","first-page":"50","volume":"27","author":"J Hattie","year":"2016","unstructured":"Hattie, J., Timperley, H.: The power of feedback. Rev. Educ. Res. 27, 50\u201351 (2016)","journal-title":"Rev. Educ. Res."},{"issue":"5","key":"115_CR5","first-page":"776","volume":"7","author":"BA Baht","year":"2019","unstructured":"Baht, B.A., Bhat, G.J.: Formative and summative evaluation techniques for improvement of learning process. Eur. J. Bus. Social Sci. 7(5), 776\u2013785 (2019)","journal-title":"Eur. J. Bus. Social Sci."},{"key":"115_CR6","unstructured":"Miao, F., Holmes W., Huang, R., Zhang, H.: Understanding AI and education: emerging practices and benefit-risk assessment, AI and education: a guidance for policy makers. In: UNESCO, pp. 13\u201315 (2021)"},{"issue":"3","key":"115_CR7","first-page":"50","volume":"52","author":"KE Raheb","year":"2019","unstructured":"Raheb, K.E., Stergiou, M., Katifori, A., Ioannidis, Y.: Dance interactive learning systems: a study on interaction workflow and teaching approaches. ACM Comput. Surv. 52(3), 50 (2019)","journal-title":"ACM Comput. Surv."},{"key":"115_CR8","doi-asserted-by":"crossref","unstructured":"Lee, J., Choi, J., Chuluunsaikhan, T., Nasridinov, A.: Pose evaluation for dance learning application using joint position and angular similarity. In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp-ISWC 2020), pp. 67\u201370. Association for Computing Machinery, New York (2020)","DOI":"10.1145\/3410530.3414402"},{"key":"115_CR9","doi-asserted-by":"crossref","unstructured":"Choi, J., Lee, J., Nasridinov, A.: Dance self-learning application and its dance pose evaluations. In: Proceedings of the 36th Annual ACM Symposium on Applied Computing (SAC 2021), pp. 1037\u20131045. Association for Computing Machinery, New York (2021)","DOI":"10.1145\/3412841.3441980"},{"key":"115_CR10","doi-asserted-by":"crossref","unstructured":"Shen, S., Huang, W., Anggraini, I.T., Funabiki, N., Fan, C.: Design of OpenPose-based of exercise assistant system with instructor-user synchronization for self-practice dynamic yoga. In: Proceedings of the 10th International Conference on Computer and Communications Management (ICCCM 2022), pp. 246\u2013251. Association for Computing Machinery, New York (2022)","DOI":"10.1145\/3556223.3556260"},{"key":"115_CR11","doi-asserted-by":"crossref","unstructured":"Tian, F., Zhu, Y., Li, Y.: Design and implementation of dance teaching system based on Unity3D. In: 6th International Conference on Intelligent Computing and Signal Processing (ICSP), pp. 1316\u20131320. IEEE, Xi'an (2021)","DOI":"10.1109\/ICSP51882.2021.9408673"},{"issue":"2","key":"115_CR12","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1109\/TLT.2010.27","volume":"4","author":"JCP Chan","year":"2011","unstructured":"Chan, J.C.P., Leung, H., Tang, J.K.T., Komura, T.: A virtual reality dance training system using motion capture technology. IEEE Trans. Learn. Technol. 4(2), 187\u2013195 (2011)","journal-title":"IEEE Trans. Learn. Technol."},{"key":"115_CR13","unstructured":"Tsuchida, S., Fukayama, S., Hamasaki, M., Goto. M.: AIST dance video database: multi-genre, multi-dancer, and multi-camera database for dance information processing. In Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019) (2019)"},{"key":"115_CR14","doi-asserted-by":"crossref","unstructured":"Kim, Y., Kim, D.: Interactive dance performance evaluation using timing and accuracy similarity. In: ACM SIGGRAPH 2018 Posters (SIGGRAPH 2018), vol. 67, pp. 1\u20132. Association for Computing Machinery, New York (2018)","DOI":"10.1145\/3230744.3230798"}],"container-title":["Communications in Computer and Information Science","Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-36336-8_115","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T14:12:50Z","timestamp":1688047970000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36336-8_115"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031363351","9783031363368"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36336-8_115","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"30 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIED","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Education","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.aied2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"311","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"17% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}