Uso de plataformas de streaming Over-the-top (OTT) por parte de estudiantes y su efecto en su perfil académico y sociodemográfico
DOI:
https://doi.org/10.24310/ijtei.101.2024.17082Palabras clave:
Rendimiento académico, Predictores demográficos, Plataforma over-the-top, OTTResumen
Mientras el mundo se tambalea bajo los efectos de la pandemia COVID-19, la mayoría de las personas se han enfrentado al cambio hacia modos de comunicación en línea en esferas como la educación, el trabajo desde casa e incluso el entretenimiento. Los estudiantes recurrieron a plataformas over-the-top (OTT) para relajarse y aliviar el estrés. El presente estudio intenta medir el uso de plataformas OTT y su efecto en la vida académica de los estudiantes en relación con el rendimiento académico, la concentración y la productividad, los problemas de salud, la gestión del tiempo y su perfil sociodemográfico. El estudio empleó diseños de investigación descriptivos explicativos y utilizó instrumentos que miden el uso de OTT y otras variables a 800 estudiantes de toda la India. El estudio obtuvo 535 respuestas exitosas de los estudiantes que cursaban desde el 11º grado hasta el posgrado. El análisis de datos incluyó estadística descriptiva, prueba t paramétrica, ANOVA y MANOVA. El estudio reveló que los estudiantes utilizaban ampliamente las plataformas OTT para entretenerse. Los datos descriptivos dieron cuenta detallada de su vida académica durante la crisis de la COVID-19. El uso de OTT afectó a su rendimiento académico, concentración y productividad, salud y gestión del tiempo. El estudio recomienda a futuros investigadores encontrar los efectos positivos y negativos del uso de OTT en los jóvenes en el escenario pospandémico.
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Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes. 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Ali, S., Qamar, A., Habes, M., & Al Adwan, M. N. (2021). Gender discrepancies concerning social media usage and its influences on student’s academic performance. Utopía Y Praxis Latinoamericana, 26, 321-333. https://doi.org/10.5281/zenodo.4556283
Amboy, M. K. Q., Habaña, M. P., Ramirez, L. M. M., Sotelo, M. G., Penuela, A. C., & Oducado, R. M. (2023). A cross-sectional study on Zoom fatigue and satisfaction with online learning among Filipino nursing students. Innoeduca. International Journal of Technology and Educational Innovation, 9(1), 53–66. https://doi.org/10.24310/innoeduca.2023.v9i1.15402
Ball-Rokeach, S.J., & DeFleur, M.L. (1976). A Dependency Model of Mass-Media Effects. Communication Research, 3(1), 3–21. https://doi.org/10.1177/009365027600300101
Barton, B. A., Adams, K. T., Browne, B. L., & Arrastia-Chisholm, M. C. (2018). The effects of social media usage on attention, motivation, and academic performance. Active Learning in Higher Education, 22(1), 11–22. https://doi.org/10.1177/1469787418782817
Ben-Arieh, A., & Frønes, I. (2007). Indicators of children’s well-being: What should be measured and why? Social Indicators Research, 84(3), 249–250. https://doi.org/10.1007/s11205-007-9183-6
Best, P., Manktelow, R., & Taylor, B. (2014). Online communication, social media and adolescent wellbeing: A systematic narrative review. Children and Youth Services Review, 41, 27–36. https://doi.org/10.1016/j.childyouth.2014.03.001
Braghieri, L., Levy, R., & Makarin, A. (2022). Social media and mental health. The American Economic Review, 112(11), 3660–3693. https://doi.org/10.1257/aer.20211218
Bücker, S., Nuraydin, S., Simonsmeier, B. A., Schneider, M., & Luhmann, M. (2018). Subjective well-being and academic achievement: A meta-analysis. Journal of Research in Personality, 74, 83–94. https://doi.org/10.1016/j.jrp.2018.02.007
Buheji, M., & Ahmed, D. (2020). Implications of zoom and similar apps on "Flip-class" outcome in the new normal. International Journal of Learning and Development, 10(3), 1-10. https://doi.org/10.5296/ijld.v10i3.17374
Callahan, D. (1973). The WHO definition of “Health.” The Hastings Center Studies, 1(3), 77-87. https://doi.org/10.2307/3527467
Castro, D., Rigby, J. M., Cabral, D., & Nisi, V. (2021). The binge-watcher’s journey: Investigating motivations, contexts, and affective states surrounding Netflix viewing. Convergence: The International Journal of Research into New Media Technologies, 27(1), 3–20. https://doi.org/10.1177/1354856519890856
Dandamudi, V. A., & Sathiyaseelan, A. (2018). Binge Watching: Why are college students glued to their screens. Journal of Indian Health Psychology, 12(2), 41-52.
Dhawan, S. (2020). Online Learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018
Eseadi, C. (2023). Online Learning Attitude and Readiness of Students in Nigeria during the Covid-19 pandemic: A Case of Undergraduate Accounting Students. Innoeduca. International Journal of Technology and Educational Innovation, 9(1), 27–38. https://doi.org/10.24310/innoeduca.2023.v9i1.15503
Exelmans, L., & Van den Bulck, J. (2017). Binge viewing, sleep, and the role of pre-sleep arousal. Journal of Clinical Sleep Medicine, 13(8), 1001–1008. https://doi.org/10.5664/jcsm.6704
Farrukh, M., Rizvi, W. R., & Hassan, A. (2021). Transposition inertia at tertiary level: The impact of online entertainment via cell phones on privacy, safety, psychological wellbeing and academic achievements of University students. Global Mass Communication Review, 6(1), 172-191. https://doi.org/10.31703/gmcr.2021(VI-I).14
Feijter, D. de, de Feijter, D., Khan, V.-J., & van Gisbergen, M. (2016). Confessions of a“Guilty” Couch Potato understanding and using context to optimize binge-watching behaviour. Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video. https://doi.org/10.1145/2932206.2932216
Flayelle, M., Maurage, P., Di Lorenzo, K. R., Vögele, C., Gainsbury, S. M., & Billieux, J. (2020). Binge-watching: What do we know so far? A first systematic review of the evidence. Current Addiction Reports, 7(1), 44–60. https://doi.org/10.1007/s40429-020-00299-8
Gangadharbatla, H., Ackerman, C., & Bamford, A. (2019). Antecedents and consequences of binge-watching for college students. First Monday, 24(12). https://doi.org/10.5210/fm.v24i12.9667
Garcia, F.P. (2023). The platformization of higher education: challenges and implications. Pixel-Bit: Revista de Medios y Educación, (67), 7-33. https://doi.org/10.12795/pixelbit.99213
Ghode, R. (2020). “Media and Me” in the lock-down: An exploratory study to understand media consumption pattern among Urban Millennial during lock-down period due to Covid-19. Global Media Journal, 18(36), 1–6.
Gillick, M., & Magoulias, C. (2020). Competing against outside distractions in online classrooms for Grade-School students. http://dx.doi.org/10.13140/RG.2.2.25181.13285
Gill, P. S., Kamath, A., & Gill, T. S. (2012). Distraction: An assessment of smartphone usage in health care work settings. Risk Management and Healthcare Policy, 5, 105–114. http://dx.doi.org/10.2147/RMHP.S34813
Gupta, G., & Singharia, K. (2021). Consumption of OTT media streaming in COVID-19 lockdown: Insights from PLS analysis. Vision: The Journal of Business Perspective, 25(1), 36–46. https://doi.org/10.1177/0972262921989118
Harjule, P., Rahman, A., & Agarwal, B. (2021). A cross-sectional study of anxiety, stress, perception and mental health towards online learning of school children in India during COVID-19. Journal of Interdisciplinary Mathematics, 24(2), 411–424. https://doi.org/10.1080/09720502.2021.1889780
Hofmann, W., Vohs, K. D., & Baumeister, R. F. (2012). What people desire, feel conflicted about, and try to resist in everyday life. Psychological Science, 23(6), 582–588. https://doi.org/10.1177/0956797612437426
Hope, N., Koestner, R., & Milyavskaya, M. (2014). The role of self-compassion in goal pursuit and well-being among university freshmen. Self and Identity, 13(5), 579–593. https://doi.org/10.1080/15298868.2014.889032
Hudimova, A. (2021). The impact of social media on young web users’ psychological well-being during the COVID-19 pandemic progression. Amazonia investiga, 10(38), 50-61. https://doi.org/10.34069/ai/2021.39.03.5
Iskender, M. (2011). The influence of self-compassion on academic procrastination and dysfunctional attitudes. Educational Research and Reviews, 6(2), 230-234.
Kotzé, M., & Kleynhans, R. (2013). Psychological well-being and resilience as predictors of first-Year Students’ academic performance. Journal of Psychology in Africa, 23(1), 51–59. https://doi.org/10.1080/14330237.2013.10820593
Kroese, F. M., Evers, C., Adriaanse, M. A., & de Ridder, D. T. D. (2016). Bedtime procrastination: A self-regulation perspective on sleep insufficiency in the general population. Journal of Health Psychology, 21(5), 853–862. https://doi.org/10.1177/1359105314540014
Kubey, R., & Csikszentmihalyi, M. (2002). Television addiction is no mere metaphor. Scientific American, 286(2), 74–80. http://dx.doi.org/10.1038/scientificamerican0202-74
Lacka, E., Wong, T. Y., & Haddoud, M. Y. (2021). Can digital technologies improve students’ efficiency? Exploring the role of virtual learning environment and social media use in higher education. Computers & Education, 163, Art. 104099. https://doi.org/10.1016/j.compedu.2020.104099
Leonhardt, M., & Overå, S. B. (2021). Are there differences in video gaming and use of social media among boys and girls?—A mixed methods approach. International Journal of Environmental Research and Public Health, 18(11), e6085. https://doi.org/10.3390/ijerph18116085
Madnani, D., Fernandes, S., & Madnani, N. (2020). Analysing the impact of COVID-19 on over-the-top media platforms in India. International Journal of Pervasive Computing and Communications, 16(5), 457–475. https://doi.org/10.1108/ijpcc-07-2020-0083
Madhani, R., & Nakhate, V. (2020). Comparative study of viewers’ behaviour over traditional television channels and over OTT video platforms in Maharashtra. International Journal of Advanced Science and Technology, 29(12s), 2076–2086.
Mehmood, S., & Taswir, T. (2013). The effects of social networking sites on the academic performance of students in college of applied sciences, Nizwa, Oman. International Journal of Arts and Commerce, 2(1), 111–125.
Meier, A., Reinecke, L., & Meltzer, C. E. (2016). “Facebocrastination”? Predictors of using Facebook for procrastination and its effects on students’ well-being. Computers in Human Behavior, 64, 65–76. https://doi.org/10.1016/j.chb.2016.06.011
Menon D (2022). Uses and gratifications of educational apps: A study during COVID-19 pandemic. Computers and Education Open, 3, art. 100076. https://doi.org/10.1016/J.CAEO.2022.100076
Moran, D. J., & Ming, S. (2020). The mindful action plan: Using the MAP to apply acceptance and commitment therapy to productivity and self-compassion for behavior Analysts. Behavior Analysis in Practice, 15, 330-338. http://dx.doi.org/10.1007/s40617-020-00441-y
Mosanya, M. (2020). Buffering academic stress during the COVID-19 pandemic related social Isolation: Grit and growth mindset as protective factors against the impact of loneliness. International Journal of Applied Positive Psychology, 6, 159-174. https://doi.org/10.1007/s41042-020-00043-7
Mushtaq, I., & Khan, S. N. (2012). Factors affecting students’ academic performance. Global Journal of Management and Business Research, 12(9).
Muthuprasad, T., Aiswarya, S., Aditya, K. S., & Jha, G. K. (2021). Students’ perception and preference for online education in India during COVID -19 pandemic. Social Sciences & Humanities Open, 3(1), e100101. https://doi.org/10.1016/j.ssaho.2020.100101
Nauts, S., Kamphorst, B. A., Stut, W., De Ridder, D. T. D., & Anderson, J. H. (2019). The explanations people give for going to bed late: A qualitative study of the varieties of bedtime procrastination. Behavioral Sleep Medicine, 17(6), 753–762. https://doi.org/10.1080/15402002.2018.1491850
Neff, K. D., Hsieh, Y.-P., & Dejitterat, K. (2005). Self-compassion, achievement goals, and coping with academic failure. Self and Identity, 4(3), 263–287. https://doi.org/10.1080/13576500444000317
Oberschmidt, K. (2017). The relationship between binge-watching, compensatory health beliefs, and sleep. University of Twente
Oliver, M. B., Hartmann, T., & Woolley, J. K. (2012). Elevation in response to entertainment portrayals of moral virtue. Human Communication Research, 38(3), 360–378. https://doi.org/10.1111/j.1468-2958.2012.01427.x
Oliver, M. B., & Raney, A. A. (2011). Entertainment as pleasurable and meaningful: Identifying hedonic and eudaimonic motivations for entertainment consumption. Journal of Communication, 61(5), 984–1004. https://doi.org/10.1111/j.1460-2466.2011.01585.x
Onyekwere, J., & Hoque, K. E. (2023). Relationship between technological change, digitization, and students’ attitudes toward distance learning in Lagos Higher Education institutes. Innoeduca. International Journal of Technology and Educational Innovation, 9(1), 126–142. https://doi.org/10.24310/innoeduca.2023.v9i1.15286
Patel, M. K., Khaida, R., & Awasya, G. (2020). A Study: OTT viewership in “Lockdown” and viewer’s dynamic watching experience. International Journal on Transformations of Media, Journalism & Mass Communication, 5(2), 2076–2086. https://doi.org/10.13140/RG.2.2.35708.56967
Pattier, D., & Ferreira, P. D. (2022). Video as an educational resource in higher education during the COVID-19 pandemic. Pixel-Bit. Media and Education Journal, (65), 183–208. https://doi.org/10.12795/pixelbit.93511
Pavlíková, M., Sirotkin, A., Králik, R., Petrikovičová, L., & Martin, J. G. (2021). How to keep university active during COVID-19 pandemic: Experience from Slovakia. Sustainability, 13(18), 10350. https://doi.org/10.3390/su131810350
Poots, A., & Cassidy, T. (2020). Academic expectation, self-compassion, psychological capital, social support and student wellbeing. International Journal of Educational Research, 99, e101506. https://doi.org/10.1016/j.ijer.2019.101506
Potdar, H., & Aradhya, G. (2021). A Tectonic Shift in An Education Sector by An Effective Technology Tool: A Virtual Class Room Learning in An Indian Scenario. International Journal of Innovation, Leadership, Society and Sustainability, 1(1), 1-9.
Rathakrishnan, B., Singh, S. S. B., Kamaluddin, M. R., Yahaya, A., Nasir, M. S., Ibrahim, F., & Rahman, Z. A. (2021). Smartphone addiction and sleep quality on academic performance of University students: An exploratory research. International Journal of Environmental Research and Public Health, 18(16), e8291. https://doi.org/10.3390/ijerph18168291
Rebecca-Clark, (2023). Domain Change: Gaming addiction perceptions among undergraduate students in Thailand and China. Pixel-Bit: Revista de Medios y Educación, (67), 219-255. https://doi.org/10.12795/pixelbit.95308
Rigby, J. M., Brumby, D. P., Gould, S. J. J., & Cox, A. L. (2018, June). “I can watch what I want.” In TVX´18 (Ed.), Proceedings of the 2018 ACM International conference on interactive experiences for TV and online video (pp. 69-80), ACM. https://doi.org/10.1145/3210825.3210832
Rusz, D., Le Pelley, M. E., Kompier, M. A. J., Mait, L., & Bijleveld, E. (2020). Reward-driven distraction: A meta-analysis. Psychological Bulletin, 146(10), 872–899. https://doi.org/10.1037/bul0000296
Sabet, S. S. A., Moradi, F., & Soufi, S. (2022). Predicting students’ satisfaction with virtual education based on health-oriented lifestyle behaviors. Innoeduca. International Journal of Technology and Educational Innovation, 8(2), 43–57. https://doi.org/10.24310/innoeduca.2022.v8i2.13079
Sirois, F. M., Nauts, S., & Molnar, D. S. (2019). Self-compassion and bedtime procrastination: an emotion regulation perspective. Mindfulness, 10(3), 434–445. https://doi.org/10.1007/s12671-018-0983-3
Stiglic, N., & Viner, R. M. (2019). Effects of screentime on the health and well-being of children and adolescents: a systematic review of reviews. BMJ Open, 9(1), Art. e023191. http://dx.doi.org/10.1136/bmjopen-2018-023191
UNICEF. (2020). COVID-19: Are children able to continue learning during school closures? https://data.unicef.org/resources/remote-learning-reachability-factsheet/
Ullah, O., Khan, W., & Khan, A. (2017). Students’ attitude towards online learning at tertiary level. PUTAJ-Human Social Sciences, 25(1-2), 63–82.
Vall-Roqué, H., Andrés, A., & Saldaña, C. (2021). The impact of COVID-19 lockdown on social network sites use, body image disturbances and self-esteem among adolescent and young women. Progress in Neuro-psychopharmacology & Biological Psychiatry, 110, Art. 110293. https://doi.org/10.1016/j.pnpbp.2021.110293
Vaterlaus, J. M., Mitchell Vaterlaus, J., Spruance, L. A., Frantz, K., & Kruger, J. S. (2019). College student television binge watching: Conceptualization, gratifications, and perceived consequences. The Social Science Journal, 56(4), 470–479. https://doi.org/10.1016/j.soscij.2018.10.004
Walton-Pattison, E., Dombrowski, S. U., & Presseau, J. (2018). “Just one more episode”: Frequency and theoretical correlates of television binge watching. Journal of Health Psychology, 23(1), 17–24. https://doi.org/10.1177/1359105316643379
Wirth, W., Hofer, M., & Schramm, H. (2012). Beyond Pleasure: Exploring the Eudaimonic entertainment experience. Human Communication Research, 38(4), 406–428. https://doi.org/10.1111/j.1468-2958.2012.01434.x
Wray-Lake, L., Wilf, S., Kwan, J. Y., & Oosterhoff, B. (2020). Adolescence during a pandemic: Examining US adolescents’ time use and family and peer relationships during COVID-19. https://doi.org/10.31234/osf.io/7vab6
World Economic Forum. (2020). The COVID-19 pandemic has changed education forever. This is how. https://www.weforum.org/agenda/2020/04/coronavirus-education-global-covid19-online-digital-learning/
Zhang, Y., Luo, X., Che, X., & Duan, W. (2016). Protective effect of self-compassion to emotional response among students with chronic academic stress. Frontiers in Psychology, 7, Art. 1802. https://doi.org/10.3389/fpsyg.2016.01802
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