Learning and Promotion of Philippine Dances via Facebook and YouTube. The role of Enjoyment to Actual use and Dance Engagement

Joseph Lobo; Jonar Martin; Andrea Audine Bulquerin

doi:10.24310/ijtei.101.2024.16950

Autores/as

Joseph Lobo Independent Researcher, Filipinas https://orcid.org/0000-0002-2553-467X
Jonar Martin Central Luzon State University, Filipinas https://orcid.org/0000-0002-1677-6589
Andrea Audine Bulquerin Iloilo National High School, Filipinas https://orcid.org/0009-0005-9775-9172

DOI:

https://doi.org/10.24310/ijtei.101.2024.16950

Palabras clave:

Uso real, compromiso con la danza, disfrute, patrimonio cultural inmaterial, promoción

Resumen

Se descubrió que el patrimonio cultural inmaterial, como las danzas tradicionales filipinas, es eficaz en términos de aprendizaje y promoción cuando se combina con las TIC, como diversas plataformas de medios sociales como Facebook y YouTube. En este sentido, el objetivo de este estudio era evaluar la relación causal entre el uso real (mediante la adopción del Modelo de Aceptación de la Tecnología) y la participación en la danza, y cómo el disfrute modera la relación entre las dos variables mediante la realización de un Modelo de Ecuaciones Estructurales de Mínimos Cuadrados Parciales. Tras obtener datos de una muestra de estudiantes universitarios de una destacada universidad local de Filipinas [N_hombres = 723(37,7%), N_mujeres = 1193(62,3%)], se descubrió que la Facilidad de Uso Percibida está altamente correlacionada con la Utilidad Percibida; PEOU y PU influyen en la Intención de Uso Conductual; y BI desencadena el Uso Real de Facebook y YouTube. Sin embargo, AU influye negativamente en el compromiso con el baile. En el lado positivo, el disfrute modera positivamente la relación entre AU y DE. A partir de estos resultados, el disfrute es clave para motivar a los estudiantes a participar en la danza mediante el aprendizaje y la promoción de las danzas tradicionales de Filipinas a través de Facebook y YouTube. También se presentan intervenciones prácticas y recomendaciones para futuras investigaciones.

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Biografía del autor/a

Joseph Lobo, Independent Researcher,

Independent Researcher, Angeles City, Pampanga, Philippines

Jonar Martin, Central Luzon State University,

Institute of Sports, Physical Education, and Recreation, College of Education

Andrea Audine Bulquerin, Iloilo National High School,

Department of Education, Iloilo City

Citas

Acuña, M. C. (2018). Folkdances in the province of Camarines Sur, Philippines. International Journal of Recent Scientific Research, 9(6), 27448–27454. https://doi.org/10.24327/ijrsr.2018.0906.2260

Al-Bashayreh, M., Almajali, D., Altamimi, A., Masa’deh, R., & Al-Okaily, M. (2022). An Empirical Investigation of Reasons Influencing Student Acceptance and Rejection of Mobile Learning Apps Usage. Sustainability, 14(7), e4325. https://doi.org/10.3390/su14074325

Alawadhi, M., Alhumaid, K., Almarzooqi, S., Aljasmi, S., Aburayya, A., Salloum, S. A., & Almesmari, W. (2022). Factors Affecting Medical Students’ Acceptance of the Metaverse System in Medical Training in the United Arab Emirates. South Eastern European Journal of Public Health, 19(5), 1–14. https://doi.org/10.11576/seejph-5759

Alivizatou-barakou, M., Kitsikidis, A., Tsalakanidou, F., Dimitropoulos, K., Giannis, C., Nikolopoulos, S., Kork, S. Al, Denby, B., Buchman, L., Adda-decker, M., Pillot-loiseau, C., Dupont, S., Charisis, V., Hadjidimitriou, S., Hadjileontiadis, L., Manitsaris, S., & Grammalidis, N. (2017). Mixed Reality and Gamification for Cultural Heritage. In M. Ioannides, N. Magnenat-Thalmann, & G. Papagiannakis (Eds.), Mixed Reality and Gamification for Cultural Heritage (pp. 129-158). Springer International Publishing. https://doi.org/10.1007/978-3-319-49607-8

Alvi, I. (2021). College students’ reception of social networking tools for learning in India: an extended UTAUT model. Smart Learning Environments, 8(1), e19. https://doi.org/10.1186/s40561-021-00164-9

Bergdahl, N., Fors, U., Hernwall, P., & Knutsson, O. (2018). The Use of Learning Technologies and StudentEngagement in Learning Activities. Nordic Journal of Digital Literacy, 13(2), 113–130. https://doi.org/10.18261/issn.1891-943x-2018-02-04

Bond, M., & Bedenlier, S. (2019). Facilitating Student Engagement Through Educational Technology: Towards a Conceptual Framework. Journal of Interactive Media in Education, 2019(1), 1–14. https://doi.org/10.5334/jime.528

Chao, C.-M. (2019). Factors Determining the Behavioral Intention to Use Mobile Learning: An Application and Extension of the UTAUT Model. Frontiers in Psychology, 10, 1–14. https://doi.org/10.3389/fpsyg.2019.01652

Charness, N., & Boot, W. R. (2016). Technology, Gaming, and Social Networking. In K. Warner & S. L. Willis (Eds.), Handbook of the Psychology of Aging: Eighth Edition (pp. 389–407). Elsevier. https://doi.org/10.1016/B978-0-12-411469-2.00020-0

Cruz, E. A., & Tullao, M. R. (2015). Philippine Folk Dance through the Eyes of the Maloleno Youth. European Academic Research, III(4), 4038–4061.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

dos Santos, P. M., & Cirillo, M. Â. (2021). Construction of the average variance extracted index for construct validation in structural equation models with adaptive regressions. Communications in Statistics - Simulation and Computation, 52(4), 1639-1650. https://doi.org/10.1080/03610918.2021.1888122

Enu-Kwesi, F., & Opoku, M. O. (2020). Relevance of the technology acceptance model (TAM) in information management research: a review of selected empirical evidence. Pressacademia, 7(1), 34–44. https://doi.org/10.17261/Pressacademia.2020.1186

Ginzarly, M., Pereira Roders, A., & Teller, J. (2019). Mapping historic urban landscape values through social media. Journal of Cultural Heritage, 36, 1–11. https://doi.org/10.1016/j.culher.2018.10.002

Gratsiouni, D., Koutsouba, M., Venetsanou, F., & Tyrovola, V. (2016). Learning and Digital Environment of Dance – The Case of Greek Traditional Dance in Youtube. European Journal of Open, Distance and E-Learning, 19(2), 80–95. https://doi.org/10.1515/eurodl-2016-0009

Guillén, F., & Martínez-Alvarado, J. R. (2014). Escala de compromiso deportivo: una adaptación de la Escala de Compromiso en el Trabajo de Utrecht (UWES) para ambientes deportivos. Universitas Psychologica, 13(3), 975–984. https://doi.org/10.11144/Javeriana.UPSY13-3.sesa

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Springer International Publishing. https://doi.org/10.1007/978-3-030-80519-7

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Huang, Y.-M. (2019). Exploring students’ acceptance of educational computer games from the perspective of learning strategy. Australasian Journal of Educational Technology, 35(3), 132–149. https://doi.org/10.14742/ajet.3330

Ji, R., Yue, X., & Zheng, X. (2021). Using PLS-SEM to Examine the Structure of First-year University Students’ Mathematics-related Beliefs. Higher Education Studies, 11(4), 7-18. https://doi.org/10.5539/hes.v11n4p7

Juma’h Ahmed, Y., & Ismail, I. A. (2021). the Effectiveness of Technology Integration on the Students’ Motivation and Engagement From Teachers’ Perspective: a Case Study At Sarta Secondary Girls’ School. European Journal of Computer Science and Information Technology, 9(1), 40–47.

Kico, I., Grammalidis, N., Christidis, Y., & Liarokapis, F. (2018). Digitization and Visualization of Folk Dances in Cultural Heritage: A Review. Inventions, 3(4), 72. https://doi.org/10.3390/inventions3040072

Li, Z., Zhou, M., & Teo, T. (2018). Mobile technology in dance education: a case study of three Canadian high school dance programs. Research in Dance Education, 19(2), 183–196. https://doi.org/10.1080/14647893.2017.1370449

Liang, X., Lu, Y., & Martin, J. (2021). A Review of the Role of Social Media for the Cultural Heritage Sustainability. Sustainability, 13(3), 1055. https://doi.org/10.3390/su13031055

Lima, A. A. S. de, Moura, S. A. B. de, Fernandes, Â., Araujo, M. R. de, Machado, M. Â. N., & Soares, S. S. K. de P. (2021). Use of Facebook as a pedagogical tool for university education. Revista Da ABENO, 21(1), e1525. https://doi.org/10.30979/revabeno.v21i1.1525

Liu, Y. (2022). Application of Digital Technology in Intangible Cultural Heritage Protection. Mobile Information Systems, 2022, e7471121. https://doi.org/10.1155/2022/7471121

Lobo, J. (2023). Protecting Philippine Dance Traditions via Education of Tomorrow’s Pedagogues: The Role of Individual Interest and School Engagement. Journal of Ethnic and Cultural Studies, 10(1), 98–124. https://doi.org/10.29333/ejecs/1527

Ma, Q. (2022). Integrating traditional ritual dance and minority culture of Western Hunan into dance instruction: Utilizing information technology to preserve China’s intangible heritage. Digital Scholarship in the Humanities, 38(29, 635–646. https://doi.org/10.1093/llc/fqac057

Miller, R., & Melton, J. (2015). College students and risk-taking behaviour on Twitter versus Facebook. Behaviour & Information Technology, 34(7), 678–684. https://doi.org/10.1080/0144929X.2014.1003325

Morris, T., & Roychowdhury, D. (2020). Physical activity for health and wellbeing: the role of motives for participation. Health Psychology Report, 8(4), 391–407. https://doi.org/10.5114/hpr.2020.100111

Nelson, T. F., & Kuh, G. D. (2005). Student Experiences With Information Technology And Their Relationship To Other Aspects Of Student Engagement. Research in Higher Education, 46(2), 211–233. https://doi.org/10.1007/S11162-004-1600-Y

Patterson, R. L., Domondon, G. T., & Sumang, B. N. (2018). Indigenous Dances of Aetas. Trames. Journal of the Humanities and Social Sciences, 22(2), 159-172. https://doi.org/10.3176/tr.2018.2.04

Rashid, T., & Asghar, H. M. (2016). Technology use, self-directed learning, student engagement and academic performance: Examining the interrelations. Computers in Human Behavior, 63, 604–612. https://doi.org/10.1016/j.chb.2016.05.084

Ríos, A., & Romero, R. (2022). YouTube and formal math learning. Perceptions of students in COVID-19 times. Innoeduca. International Journal of Technology and Educational Innovation, 8(2), 27-42. https://doi.org/10.24310/innoeduca.2022.v8i2.14516

Rodriguito, A., Lacap, J. P. G., Dizon, A. G. P., & Carlos, C. J. C. (2022). Perceived Academic Service Quality and Behavioral Intentions: The Intervening Roles of Brand Image and Performance. Journal of Applied Structural Equation Modeling, 6(2), 1–22. https://doi.org/10.47263/JASEM.6(2)01

Schindler, L. A., Burkholder, G. J., Morad, O. A., & Marsh, C. (2017). Computer-based technology and student engagement: a critical review of the literature. International Journal of Educational Technology in Higher Education, 14(1), e25. https://doi.org/10.1186/s41239-017-0063-0

Shuangyun, Y. (2021). Ethnic Identity and Acculturation Orientation of Chinese Yi Villagers in the Context of Social Media. Journal of Ethnic and Cultural Studies, 8(4), 109–127. https://doi.org/10.29333/ejecs/831

Şimşek, A. S., & Ateş, H. (2022). The extended technology acceptance model for Web 2.0 technologies in teaching. Innoeduca. International Journal of Technology and Educational Innovation, 8(2), 165–183. https://doi.org/10.24310/innoeduca.2022.v8i2.15413

Şuşu, P. (2018). 2. On the Educational Potential of Folk Dance. Review of Artistic Education, 15(1), 127–150. https://doi.org/10.2478/rae-2018-0013

Tahar, A., Riyadh, H. A., Sofyani, H., & Purnomo, W. E. (2020). Perceived Ease of Use, Perceived Usefulness, Perceived Security and Intention to Use E-Filing: The Role of Technology Readiness. The Journal of Asian Finance, Economics and Business, 7(9), 537–547. https://doi.org/10.13106/jafeb.2020.vol7.no9.537

Winarno, W. A., Mas’ud, I., & Palupi, T. W. (2021). Perceived Enjoyment, Application Self-efficacy, and Subjective Norms as Determinants of Behavior Intention in Using OVO Applications. Journal of Asian Finance, Economics and Business, 8(2), 1189–1200. https://doi.org/10.13106/jafeb.2021.vol8.no2.1189

Won, D., Chiu, W., & Byun, H. (2022). Factors influencing consumer use of a sport-branded app: the technology acceptance model integrating app quality and perceived enjoyment. Asia Pacific Journal of Marketing and Logistics, ahead-of-p(ahead-of-print). https://doi.org/10.1108/APJML-09-2021-0709/FULL/XML

Yaacob, Z., & Md Saad, N. H. (2020). Acceptance of YouTube as a Learning Platform during the Covid-19 Pandemic: The Moderating Effect of Subscription Status. TEM Journal, 9(4), 1732–1739. https://doi.org/10.18421/TEM94-54

Yuliati, D., Rochwulaningsih, Y., Utama, M. P., Mufidah, R., Masruroh, N. N., & Sholihah, F. (2023). Using social media for preserving the Javanese traditional arts: Adaptation strategy of Sobokartti in the Millenial Era. Cogent Arts & Humanities, 10(1). https://doi.org/10.1080/23311983.2023.2180875

Zhao, J., Wang, Z., Wang, C., Han, L., Ruan, Y., Huangfu, Z., Zhou, S., & Zhou, L. (2022). Research on the Status of Intangible Cultural Heritage Bearers in the Human Capital Perspective. Frontiers in Psychology, 13, 1–15. https://doi.org/10.3389/fpsyg.2022.850780

Zhou, L. (2022). Model Construction of Dance Teaching System for College Students under the Background of Information Technology. Wireless Communications and Mobile Computing, 2022, e1766776. https://doi.org/10.1155/2022/1766776