Vocal Music Teaching Mode Based on Computer Platform
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| Udgivet i: | Journal of Electrical Systems vol. 20, no. 9s (2024), p. 476 |
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| Hovedforfatter: | |
| Andre forfattere: | |
| Udgivet: |
Engineering and Scientific Research Groups
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| Fag: | |
| Online adgang: | Citation/Abstract Full Text - PDF |
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| 001 | 3081429635 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1112-5209 | ||
| 035 | |a 3081429635 | ||
| 045 | 2 | |b d20240101 |b d20241231 | |
| 100 | 1 | |a Cui, Chang |u School of Music and Film, Changzhou University, Changzhou, Jiangsu, 213159, The People's Republic of China | |
| 245 | 1 | |a Vocal Music Teaching Mode Based on Computer Platform | |
| 260 | |b Engineering and Scientific Research Groups |c 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This study investigates the efficacy of integrating computer platform-based teaching modes into vocal music education. Through a mixed-methods approach encompassing quantitative analysis and qualitative exploration, the research examines the impact of technology-mediated instruction on vocal music learning outcomes, engagement, and accessibility. Participants include vocal music educators and students from educational institutions and private instruction settings. Quantitative analysis reveals significant improvements in vocal proficiency for both traditional and computer platform-based instruction groups, with the latter exhibiting greater enhancement. Qualitative insights highlight increased engagement, motivation, and accessibility among participants in the experimental group, attributed to the interactive and multimedia-rich nature of technology-mediated learning resources. These findings underscore the potential of computer platform-based teaching modes to augment traditional methods and foster innovation in music pedagogy. | |
| 653 | |a Teaching methods | ||
| 653 | |a Impact analysis | ||
| 653 | |a Qualitative analysis | ||
| 653 | |a Accessibility | ||
| 653 | |a Technology assessment | ||
| 653 | |a Learning | ||
| 653 | |a Education | ||
| 653 | |a Quantitative analysis | ||
| 653 | |a Multimedia | ||
| 653 | |a Pedagogy | ||
| 653 | |a Cognitive science | ||
| 653 | |a Student participation | ||
| 653 | |a Vocal music | ||
| 653 | |a Ethics | ||
| 653 | |a Interviews | ||
| 653 | |a Teachers | ||
| 653 | |a Music education | ||
| 653 | |a Inclusion | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Voice training | ||
| 653 | |a Educational objectives | ||
| 653 | |a Computer platforms | ||
| 653 | |a Research design | ||
| 653 | |a Qualitative research | ||
| 700 | 1 | |a Ju, Cheng |u Baidu Online Network Technology (Beijing) Co., Ltd., ACG., Beijing, 100193, The People's Republic of China | |
| 773 | 0 | |t Journal of Electrical Systems |g vol. 20, no. 9s (2024), p. 476 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3081429635/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3081429635/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |