Learning and Promotion of Philippine Dances via Facebook and YouTube. The role of Enjoyment to Actual use and Dance Engagement
DOI:
https://doi.org/10.24310/ijtei.101.2024.16950Keywords:
Actual Use, Dance Engagement, Enjoyment, Intangible Cultural Heritage, PromotionAbstract
Intangible Cultural Heritage such as Philippine Traditional Dances were found to be effective in terms of learning and promotion when combined with ICT such as various social media platforms like Facebook and YouTube. In this regard, this study aimed to assess the causal relationship between the actual use (by adopting Technology Acceptance Model) and dance engagement, and how enjoyment moderates the relationship between the two variables by performing Partial Least Square-Structural Equation Modelling. After obtaining data from a sample of undergraduate students from a prominent local college in the Philippines [Nmale = 723 (37.7%), Nfemale = 1193 (62.3%)], it was found that Perceived Ease of Use is highly correlated to Perceived Usefulness; PEOU and PU influence Behavioral Intention to Use; and BI triggers Actual Use of Facebook and YouTube. However, AU negatively influences dance engagement. On the positive side, Enjoyment positively moderates the relationship between AU and DE. Based on these findings, enjoyment is key in order to motivate students to engage in dance through learning and promotion of the traditional dances of the Philippines through Facebook and YouTube. Practical interventions and future research recommendations are also presented.
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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
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