با همکاری مشترک دانشگاه پیام نور و انجمن یادگیری الکترونیکی ایران

نوع مقاله : علمی-پژوهشی

نویسندگان

معلم ابتدایی مدرس دانشگاه فرهنگیان کردستان

10.30473/idej.2023.67333.1146

چکیده

خلاصه
یادگیری آلات موسیقی در دهه های گذشته به سرعت رواج یافته است. با این حال، با محدودیت‌های همه‌گیر COVID-19 و قفل‌هایی مواجه است که سخنرانی‌های موسیقی چهره به چهره را محدود می‌کند. هدف این تحقیق طراحی و توسعه یک سیستم آموزشی آنلاین به نام Nuance برای یادگیری آلات موسیقی است. عملکرد سیستم برای بررسی تأثیر سیستم پیشنهادی بر مهارت‌های یادگیری شناختی و عملی یک ساز ایرانی به نام سه‌تار آزمایش و تحلیل می‌شود. این پژوهش با روش «پژوهشی نیمه تجربی» برای جمعیت 900 نفری دانش‌آموزان سه‌تار ابتدایی شهر سنندج در سال تحصیلی 91-90 انجام شد. از روش نمونه گیری در دسترس برای تشکیل دو گروه همگن، شامل کنترل و آزمایش، هر کدام با 15 یادگیرنده استفاده می شود. گروه آزمایش از سیستم Nuance استفاده می کند، در حالی که گروه کنترل فیلم های آنلاین را دریافت می کند. از آزمون Shapiro-Wilk برای تست نرمال بودن داده ها استفاده می شود، در حالی که از آزمون های ANOVA یک طرفه و آزمون تعقیبی Tukey برای تجزیه و تحلیل داده ها و مطالعه عملکرد سیستم پیشنهادی استفاده می شود. نتایج نشان می‌دهد که بین هر دو گروه تفاوت معنی‌داری وجود دارد و پشتیبانی می‌کند که سیستم پیشنهادی عملکرد بهتری برای مهارت‌های یادگیری موسیقی شناختی و عملی نسبت به سیستم آنلاین استاندارد دارد (۰۵/۰P<).

کلیدواژه‌ها

موضوعات

  • References

    • Abumalloh, R. A., Asadi, S., Nilashi, M., Minaei-Bidgoli, B., Nayer, F. K., Samad, S., Mohd, S., & Ibrahim, O. (2021). The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education. Technology in Society, 67, 101728.
    • Ali, M. F., Kundra, S., Alam, M. A., & Alam, M. (2021). Investigating stress, anxiety, social support and sex satisfaction on physical education and sports teachers during the COVID-19 pandemic. Heliyon, 7(8), e07860.
    • Arkorful, V., & Abaidoo, N. (2015). The role of e-learning, advantages and disadvantages of its adoption in  higher education. International Journal of Instructional Technology and Distance Learning, 12(1), 29–42
    • Aróstegui, J. L. (2011). Educating Music Teachers for the 21st Century. SensePublishers.
    • Atlantis PresseiHart, C. M., Berger, D., Jacob, B., Loeb, S., & Hill, M. (2019). Online learning, offline outcomes: Online course taking and high school student performance. Aera Open, 5(1).
    • Bai, X. (2017). Promote Technology Self-efficacy via a SCORM-Based e-Learning Approach. International Journal of Information and Education Technology, 7(8), 575–580.
    • Bauer, W. I. (2020). Music learning today: Digital pedagogy for creating, performing, and responding to music. Oxford University Press.
    • Biasutti, M., Antonini Philippe, R., & Schiavio, A. (2022). Assessing teachers’ perspectives on giving music lessons remotely during the COVID-19 lockdown period. Musicae Scientiae, 26(3), 585-603.
    • Blake, J. N. (2018). Distance learning music education. Journal of Online Higher Education, 2(3), 1-23.
    • Calderón-Garrido, D., & Gustems-Carnicer, J. (2021). Adaptations of music education in primary and secondary school due to COVID-19: the experience in Spain. Music Education Research, 23(2), 139-150.
    • Cano, M. D., & Sanchez-Iborra, R. (2015). On the use of a multimedia platform for music education with handicapped children: A case study. Computers & Education, 87, 254–276.
    • Carmody, K. and Berge, Z. L. (2005). Elemental analysis of the online learning International Journal of Education and Development Using Information and Communication Technology, 1(3), 108–119.
    • Chan, L. M., Jones, A. C., Scanlon, E., & Joiner, R. (2006). The use of ICT to support the development of practical music skills through acquiring keyboard skills: a classroom based study. Computers & Education, 46(4), 391–406.
    • Chertoff, J. D., Zarzour, J. G., Morgan, D. E., Lewis, P. J., Canon, C. L., & Harvey, J. A. (2020). The Early Influence and Effects of the Coronavirus Disease 2019 (COVID-19) Pandemic on Resident Education and Adaptations. Journal of the American College of Radiology, 17(10), 1322–1328.
    • Choudhury, S., & Pattnaik, S. (2020). Emerging themes in e-learning: A review from the stakeholders’ perspective. Computers & Education, 144, 103657.
    • Cloete, A. L. (2017). Technology and education: Challenges and opportunities. HTS: Theological Studies, 73(3), 1-7.
    • Colwell, R., & Richardson, C. (Eds.). (2002). The new handbook of research on music teaching and learning: A project of the Music Educators National Conference. Oxford University Press.
    • Elcullada Encarnacion, R., Galang, A. A., & Hallar, B. J. (2021). The Impact and Effectiveness of E-Learning on Teaching and Learning. International Journal of Computing Sciences Research, 5(1), 383–397.
    • Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the technology  acceptance model (TAM) to examine  faculty use of learning management systems (LMSs)  in higher education institutions. Journal of Online  Learning & Teaching, 11(2), 210-232
    • Feldman, E., Contzius, A., Lutch, M., Bugaj, K. K., & Battisti, F. L. (2020). Instrumental music education: Teaching with the musical and practical in harmony. Routledge.
    • Fick, J., & Bulgren, C. (2022). Developing 21st-Century Musicianship: Tablet- based Music Production in the General Music Classroom. Journal of General Music Education, 35(2), 4-12.
    • Gherheș, V., F, C. E., Fărcașiu, M. A., & Stanici, M. (2021). E-Learning vs. Face- To-Face Learning: Analyzing Students’ Preferences and Behaviors. Sustainability, 13(8), 4381.
    • Groulx, T. J., & Hernly, P. (2010). Online master’s degrees in music education: The growing pains of a tool to reach a larger community. Update: Applications of research in music education, 28(2), 60-70.
    • Ho, T. K. L., Lin, H. S., Chen, C. K., & Tsai, J. L. (2013). Development of a computer-based visualised quantitative learning system for playing violin vibrato. British Journal of Educational Technology, 46(1), 71–81.
    • Ho, W. C. (2007). Students? experiences with and preferences for using information technology in music learning in Shanghai?s secondary schools. British Journal of Educational Technology, 38(4), 699–714.
    • Holdhus, K., Murphy, R., & Espeland, M. I. (2021). Music education as craft. Springer International Publishing.
    • Huang, C. F., Nien, W. P., & Yeh, Y. S. (2015). Learning effectiveness of applying automated music composition software in the high grades of elementary school. Computers & Education, 83, 74–89.
    • Hung, C. Y., Sun, J. C. Y., & Liu, J. Y. (2018). Effects of flipped classrooms integrated with MOOCs and game-based learning on the learning motivation and outcomes of students from different backgrounds. Interactive Learning Environments, 27(8), 1028–1046.
    • Jagušt, T., Botički, I., & So, H. J. (2018). Examining competitive, collaborative and adaptive gamification in young learners’ math learning. Computers & Education, 125, 444–457.
    • Johnson, C. (2017). Teaching music online: Changing pedagogical approach when moving to the online environment. London Review of Education.
    • Johnson, C. (2020). A conceptual model for teaching music online. International Journal on Innovations in Online Education, 4(2).
    • Jonassen, D. H. (1992). Evaluating Constructivistic Learning in Duffy. TM & Jonassen, DH Construtivism and the Technology of Instruction-A Conversation. LEA Publishers.
    • Jorgensen, E. R. (2008). Transforming Music Education: Indiana University Press.
    • Joyce, B. R. and Weil, M. (2008). Models of teaching (8th ed.). Pearson.
    • Kaschub, M., & Smith, J. (2014). Promising Practices in 21st Century Music Teacher Education (1st ed.). Oxford University Press.
    • Koutsoupidou, T. (2014). Online distance learning and music training: benefits, drawbacks and challenges. Open Learning: The Journal of Open, Distance and e-Learning, 29(3), 243–255.
    • Leshin, C. B., Pollock, J., & Reigeluth, C. M. (1992). Instructional Design Strategies and Tactics. Educational Technology Pubns.
    • Liu, J., & Liang, L. (2021, April). The Application of Computer Music Technology in Music Education. In 2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) (pp. 791-793). IEEE.
    • Macrides, E., & Angeli, C. (2018). Domain-Specific Aspects of Technological Pedagogical Content Knowledge: Music Education and the Importance of Affect. TechTrends, 62(2), 166–175.
    • Mayer, R. E. (2009). Multimedia Learning (2nd ed.). Cambridge University Press.
    • McCarthy, C., Bligh, J., Jennings, K., & Tangney, B. (2005). Virtual collaborative learning environments for music: networked drumsteps. Computers & Education, 44(2), 173–195.
    • Means, B., Toyama, Y., Murphy, R., & Baki, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record, 115(3), 1–47
    • Moallem, M. (2003). An interactive online course: A collaborative design model. Educational Technology: Research and Development, 51(4), 85–103
    • Mroziak, J., & Bowman, J. (2016). Music TPACK in higher education: Educating the educators. Handbook of technological pedagogical content knowledge (TPACK) for educators, 285-296.
    • Mtebe, J. S., & Raphael, C. (2018). Key factors in learners’ satisfaction with the e- learning system at the  University of Dar es Salaam, Tanzania. Australasian  Journal of Educational Technology, 34(4), 4.
    • Müller, A. M., Goh, C., Lim, L. Z., & Gao, X. (2021). COVID-19 Emergency eLearning and Beyond: Experiences and Perspectives of University Educators. Education Sciences, 11(1), 19.
    • Council, N. (2000). How people learn: Brain, mind, experience, and school: Expanded edition.
    • Pople, A. (1992). Computer music and computer-based musicology. Computers & Education, 19(1–2), 173–182.
    • Prestiadi, D., Zulkarnain, W., & Sumarsono, R. B. (2019, December). Visionary leadership in total quality management: efforts to improve the quality of education in the industrial revolution 4.0. In The 4th International Conference on Education and Management (COEMA 2019) (pp. 202-206). Atlantis Press.
    • Rachels, J. R., & Rockinson-Szapkiw, A. J. (2017). The effects of a mobile gamification app on elementary students’ Spanish achievement and self-efficacy. Computer Assisted Language Learning, 31(1–2), 72–89.
    • Rahayu, F. S., Budiyanto, D., & Palyama, D. (2017). Analisis penerimaan e-learning menggunakan tech- nology acceptance model. Jurnal Terapan Teknologi Informasi, 1(2), 87–98.
    • Raja, R., & Nagasubramani, P. C. (2018). Impact of modern technology in education. Journal of Applied and Advanced Research, S33–S35.
    • Raziūnaitė, P., Miliūnaitė, A., Maskeliūnas, R., Damaševičius, R., Sidekerskienė, T., & Narkevičienė, B. (2018). Designing an educational music game for digital game based learning: A Lithuanian case study. In 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (pp. 0800-0805). IEEE.
    • Reaves, J. (2019). 21st-century skills and the fourth industrial revolution: a critical future role for online education. International Journal on Innovations in Online Education, 3(1).
    • Regelski, T. A., & Gates, J. T. (Eds.). (2009). Music education for changing times: Guiding visions for practice (Vol. 7). Springer Science & Business Media.
    • Rolisca, R. U. C., & Achadiyah, B. N. (2014). Pengembangan media evaluasi pembelajaran dalam bentuk online berbasis e-learning menggunakan software wondershare quiz creator dalam mata pelajaran akuntansi SMA Brawijaya Smart School (BSS). Jurnal Pendidikan Akuntansi Indonesia, 12(2).
    • Rosset, M., Baumann, E., & Altenmüller, E. (2021). Studying Music During the Coronavirus Pandemic: Conditions of Studying and Health-Related Challenges. Frontiers in Psychology, 12.
    • Russell, J. A. (2018). Statistics in Music Education Research (Unabridged ed.). Oxford University Press.
    • Savage, J. (2007). Reconstructing Music Education through ICT. Research in Education, 78(1), 65–77.
    • Taghizadeh, M., & Hasani Yourdshahi, Z. (2019). Integrating technology intoyoung learners’ classes: language teachers’ perceptions. Computer Assisted Language Learning, 33(8), 982–1006.
    • Tan, A. G., Tsubonou, Y., Oie, M., & Mito, H. (2019). Creativity and music education: A state of art reflection. Creativity in music education, 3-16.
    • Ulum, H. (2022). The effects of online education on academic success: A meta-analysis study. Education and Information Technologies, 27(1), 429-450.
    • Van de Velde, S., Buffel, V., van der Heijde, C., Çoksan, S., Bracke, P., Abel, T., ... & Wouters, E. (2021). Depressive symptoms in higher education students during the first wave of the COVID-19 pandemic. An examination of the association with various social risk factors across multiple high-and middle-income countries. SSM-population health, 16, 100936.
    • Walls, K. C. (2008). Distance Learning in Graduate Music Teacher Education. Journal of Music Teacher Education, 18(1), 55–66.
    • Webster, P. R. (2007). Computer-based technology and music teaching and learning: 2000–2005. In International handbook of research in arts education (pp. 1311-1330). Springer, Dordrecht.
    • Westerlund, H., Karlsen, S., & Partti, H. (2020). Visions for intercultural music teacher education (p. 219). Springer Nature.
    • Yaw Obeng, A., & Coleman, A. (2020). Evaluating the effects and outcome of technological innovation on a web-based e-learning system. Cogent Education, 7(1), 1836729.
    • Yuwono, K. T., & Sujono, H. D. (2018). The Effectiveness of E-Learning: A Meta-Analysis. Journal of Physics: Conference Series, 1140, 012024.
    • Zhao, Y., Wang, N., Li, Y., Zhou, R., & Li, S. (2020). Do cultural differences affect users’ e‐learning adoption? A meta‐analysis. British Journal of Educational Technology, 52(1), 20–41.