Artificial intelligence in dance education: Dance for students with special educational needs

Hu, Mengyu; Wang, Jingyi

doi:10.1016/j.techsoc.2021.101784

Cited by 18 publications

(7 citation statements)

References 34 publications

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“…A digitális fordulat a technológia megítélését még sokkal bonyolultabbá tette, sőt, a mesterséges intelligencia már az emberi szubjektum mibenlétére, világban elfoglalt helyére vonatkozó kérdéseket vet fel, mivel részt vesz az alkotásban, még olyan területeken is, amelyeket korábban kizárólag emberinek, ember által gyakorolhatott tevékenységnek tartottak (Chatterjee, 2022). Ez a tánc esetében is így van, ugyanis az emberi mozgással, emóciókkal, tanulással, terápiákkal kapcsolatos AI-alkalmazások sora egyre nő (Hu & Wang, 2021).…”

Section: A Technológia Mint Filozófiai Problémaunclassified

Koreográfiák az AI világában : Az emlékezet, az esemény és a techongenezis

Marx

2024

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A mesterséges intelligencia (AI) térnyerésével új lehetőségek nyílnak a művészetek, így a táncművészet számára is. Az AI kezdetben a táncok lejegyzésének gyakorlatát könnyítette meg, mára innovatív koreográfiai teendőket is ellát. A fenomenológia és a technológiafilozófia képviselői teoretizálják a lehetséges előnyöket és hátrányokat, amelyekkel ennek a beláthatatlanul gyorsan fejlődő technológiának a terjedése járhat, és újfajta ontológiai megközelítéseket sürgetnek. A kutatók az AI-filozófiát a valóságos, korporeális táncról szerzett ismereteikkel és tapasztalataikkal alapozzák meg, és egy új, technogenetikus korszak bekövetkeztét jósolják. A tanulmány ezekbe a teóriákba enged bepillantást, részletesebben kitérve egy kortárs táncfilozófus, Erin Manning innovatív technogenezis-koncepciójára is.

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Section: A Technológia Mint Filozófiai Problémaunclassified

Koreográfiák az AI világában : Az emlékezet, az esemény és a techongenezis

Marx

2024

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“…x . The reality of a random sequence is a cluster of non-random ordinary series, and only one reality of a random sequence is usually available in practical problems such as event development and average city temperature [23]. Random sequence {} t x is also called a time series because its time variable t refers to equal integer variations, and taken as a whole.…”

Section: Time Seriesmentioning

confidence: 99%

Applying Time Series Analysis to Study the Development Trend and Influencing Factors of Ethnic Folk Dance

Ning

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, firstly, we propose to use time series analysis to observe the development and change process of social events, using the DF test and ADF test to eliminate the random autocorrelation in order to exclude the interference of white noise series. Secondly, the instantaneous frequency of non-smooth data is defined by analyzing the signal, and the constraints are modified from global constraints to local constraints. The Fourier-transformed eigenmode function is used to satisfy the four necessary conditions of completeness, orthogonality, localization, and adaptability. Finally, the development trend of ethnic folk dances and the change in communication dynamics are analyzed. The results show that the change of language on the spreading attitude of folk dance is 4.381, the change of custom on the spreading attitude is 5.943, the change of culture on the spreading attitude is 10.866, and the change of culture on the spreading attitude of folk dance is the largest, which shows that the development of folk dance away from the development of folk dance is not separated from the support of culture. The study will have a positive impact on passing on the distinctive art of ethnic folk dance and enriching Chinese traditional culture and art.

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“…Pan & Yang [28] presents a framework for investigating the subjective factors that improve educational enhancement in teachers' workplaces, aided by AI Administrative documents are examined using historical and cultural theory, which provides a way for both conventional data analysis and modelling estimation of individual output in feedforward neural networks. Hu & Wang [29] investigates the potential for and attitudes toward using AI in dance teaching. Terblanche et al [30] measured the performance and perceptions of the student for adopting an AI-based coach for the training program.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the Students

et al. 2022

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Technology adoption is accepting, integrating, and using the latest innovative technologies in society. Artificial intelligence (AI) and robotics are changing the face of the industrial and service sectors. There is a need to change the traditional way of teaching by introducing the latest innovative methods. This study aims to measure the intention of adopting AI-based robots in the educational system of Indian universities. This study uses three theories technology acceptance model, the theory of planned behaviour, and the technology readiness index. Thirteen hypotheses are proposed for this study. The teachers and students survey Indian universities. This study also measures the users' attitudes and the impact on their intention. Nine hypotheses got accepted, and four hypotheses got rejected. This study will benefit the university administration as they will understand the importance of AI-based robots and their applications. These will also be helpful in a way that the students and teachers both are in favours of the adoption process.

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Artificial intelligence in dance education: Dance for students with special educational needs

Cited by 18 publications

References 34 publications

Koreográfiák az AI világában : Az emlékezet, az esemény és a techongenezis

Koreográfiák az AI világában : Az emlékezet, az esemény és a techongenezis

Applying Time Series Analysis to Study the Development Trend and Influencing Factors of Ethnic Folk Dance

Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the Students

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