Internet of Things and Cloud Computing Integration of Opera Elements into Vocal Singing Teaching Practice Exploration

Authors

  • Gang Li School of Music and Dance Yulin Normal University

DOI:

https://doi.org/10.4108/eetsis.4233

Keywords:

Internet of things, cloud computing, opera elements, vocal singing teaching

Abstract

INTRODUCTION: With the rapid development of computer technology, the application of the Internet of Things and cloud computing technology is becoming more and more common. However, there is no more computer technology integration in integrating opera elements into vocal singing teaching. Therefore, compared with other industries, the development of verbal singing teaching could be faster and adapt to the current era of the Internet of Things and cloud computing. Thus studies the exploration of the practice of integrating opera elements into vocal singing teaching based on the Internet of Things and cloud computing.

OBJECTIVES: To improve the level of China's Internet of Things and cloud computing technology-based opera elements into vocal singing teaching practice; to solve the current problem of China's traditional culture not being integrated into verbal singing teaching; to promote the development of China's opera industry, the modernization of oral singing teaching, and to enhance the relevance of the Internet and economic development.

METHODS: In the study, firstly, the Internet of Things (IoT) and cloud computing technology are used for the establishment of the evaluation model; secondly, the feasibility of integrating opera elements into vocal singing teaching is analyzed through theoretical discussions; lastly, through the analysis of the model of the Internet of Things (IoT) and cloud computing, the feasibility of integrating opera elements into vocal singing teaching is illustrated by the analysis of the model of the Internet of Things (IoT) and cloud computing, and how the Internet of Things and cloud computing can assist opera elements to be integrated into vocal singing teaching.

RESULTS: Using the Internet of Things and cloud computing technology to enrich the vocal singing teaching model from multiple perspectives can better enhance the integration of opera elements into verbal singing teaching. Internet of Things and cloud computing technology play an auxiliary role in the integration of opera elements into vocal singing teaching; the study of the additional mechanism reveals that the effect of the integration of opera elements into verbal singing teaching can be improved through the improvement of the means of the auxiliary function.

CONCLUSION: As a representative of Chinese culture, the integration of opera elements into vocal singing teaching practice is of great significance, and the Internet of Things and cloud computing technology play an essential role in helping the integration of opera elements into vocal singing teaching practice.

References

Beans, C. (2021). The Internet of Things Comes to the Farm. BioScience, 453(453), 225–238. https://doi.org/10.1093/biosci/biab064

Benboujja, F., Greenberg, M., Normand, A., Rath, N., & Hartnick, C. (2021). Evaluation of the Human Vocal Fold Lamina Propria Development Using Optical Coherence Tomography. The Laryngoscope, 131(9), 78–88. https://doi.org/10.1002/lary.29516

Cécile Hérivaux, Vinatier, F., Sabir, M., Guillot, F., & Rinaudo, J. D. (2021). Combining narrative scenarios, local knowledge, and land-use change modeling for integrating soil erosion in a global perspective. Land Use Policy, 105(1), 105406. https://doi.org/10.1016/j.landusepol.2021.105406

Filipa, M. B. L., Sundberg, J., & Granqvist, S. (2022). Augmented visual-feedback of airflow: Immediate effects on voice-source characteristics of students of singing: Psychology of Music, 50(3), 933–944. https://doi.org/10.1177/03057356211026735

Gold, E., Christin Kirchhübel, Earnshaw, K., & Ross, S. (2021). Regional variation in British English voice quality. English World-Wide, 235(235), 233–248. https://doi.org/10.1075/eww.20007.gol

Hamilton, L. G., O’Halloran, I., & Cutting, N. (2021). Individual differences in narrative production in late childhood: Associations with age and fiction reading experience: First Language, 41(2), 179–199. https://doi.org/10.1177/0142723720946553

Katsu, N., & Okanoya, K. (2021). Stimulus modality affects the accuracy of rhythm production in rats. Behavioural Processes, 194, 104560. https://doi.org/10.1016/j.beproc.2021.104560

Khaled, S. M., Catalina, P., Lina, B., Iman, A., Marwa, A. A., Kien, L. T., Mneimneh, Z. N., Sampson, N. A., Kessler, R. C., & Woodruff, P. W. (2021). Conducting a state-of-the-art mental health survey in a traditional setting: Challenges and lessons from piloting the World Mental Health Survey in Qatar. International Journal of Methods in Psychiatric Research. https://doi.org/10.1002/mpr.1885

Mack, J. E. B., ElenaWeintraub, SandraMesulam, M.-MarselThompson, Cynthia K. (2021). Quantifying grammatical impairments in primary progressive aphasia: Structured language tests and narrative language production. Neuropsychologia, 151(1), 56–68.

María Amor Barros del Río, Leticia Blázquez Arribas, Pealver, E. A., & Sigona, C. M. (2021). Teaching English to Special Educational Needs Students through an Online Tool. TESOL Quarterly, 55(3), 25–39. https://doi.org/10.1002/tesq.3038

Medeiros, N., Eugénia Castro, Julie Titske van Lith〣ijl, & Gauthier René Raymond Desuter. (2021). A Systematic Review on Surgical Treatments for Sulcus Vocalis and Vocal Fold Scar. The Laryngoscope, 46(47), 78–89. https://doi.org/10.1002/lary.29665

Miller, R. D., Miller, R. D., Correa, V. I., Correa, V. I., Katsiyannis, A., & Katsiyannis, A. (2021). Corrigendum to Effects of a Story Grammar Intervention With Repeated Retells for English Learners With Language Impairments. Communication Disorders Quarterly, 42(2), 152574012096032-. https://doi.org/10.1177/1525740117751897

Okita, N. T., Camargo, A. W., José Ribeiro, Coimbra, T. A., Benedicto, C., & Faccipieri, J. H. (2022). High-performance computing strategies for seismic-imaging software on the cluster and cloud-computing environments. Geophysical Prospecting, 70(70), 68–80. https://doi.org/10.1111/1365-2478.13158

Paul, K., Amann, A., & Roy, S. (2021). Tapered nonlinear vibration energy harvester for powering the Internet of Things. Applied Energy, 283(56–69), 116267-. https://doi.org/10.1016/j.apenergy.2020.116267

Prior, N. H., Rose, E. M., & Ball, G. F. (2022). The singing question: Re‐conceptualizing birdsong. Biological Reviews, 97(1), 326–342. https://doi.org/10.1111/brv.12800

Stephanie, V., Chamikara, M. A. P., Khalil, I., & Atiquzzaman, M. (2022). Privacy-preserving location data stream clustering on mobile edge computing and cloud. Information Systems, Jul., 107.

Tang, W., Yang, Q., Hu, X., & Yan, W. (2022). Deep learning-based linear defects detection system for large-scale photovoltaic plants based on an edge-cloud computing infrastructure. Solar Energy, 231, 527–535. https://doi.org/10.1016/j.solener.2021.11.016

Toles, L. E., Ortiz, A. J., Marks, K. L., Burns, J. A., Hron, T., Stan, J. H. V., Mehta, D. D., & Hillman, R. E. (2021). Differences Between Female Singers With Phonotrauma and Vocally Healthy Matched Controls in Singing and Speaking Voice Use During 1 Week of Ambulatory Monitoring. American Journal of Speech-Language Pathology, 1, 77–89. https://doi.org/10.1044/2020_AJSLP-20-00227

Vyshpinska, Y. (2021). Formation of Creative Personality of Students Majoring in Preschool Education in the Process of Studying the Methods of Musical Education. ATEE 2020 - Winter Conference. Teacher Education for Promoting Well-Being in School. Suceava, 2020, 346(346), 46–60. https://doi.org/10.18662/lumproc/atee2020/38

Yuan, D., & Li, P. (2021). An Analysis of the Lack of Modern Educational Technology in Teaching Secondary Vocational English Subjects and its Teaching Strategies—Take Pingli Vocational Education Center as an Example. Education study, 5(2), 3. https://doi.org/10.26689/JCER.V5I2.1826

Zhou, B., & Saad, W. (2022). Performance Analysis of Age of Information in Ultra-Dense Internet of Things (IoT) Systems With Noisy Channels. IEEE Transactions on Wireless Communications, 5, 21. https://doi.org/10.1109/TWC.2021.3122841

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Published

26-10-2023

How to Cite

1.
Li G. Internet of Things and Cloud Computing Integration of Opera Elements into Vocal Singing Teaching Practice Exploration. EAI Endorsed Scal Inf Syst [Internet]. 2023 Oct. 26 [cited 2024 Nov. 21];11(1). Available from: https://publications.eai.eu/index.php/sis/article/view/4233