Algerian secondary school students' preferences for the use of YouTube in their informal learning
DOI:
https://doi.org/10.55056/etq.697Keywords:
learning, e-learning, informal learning, social network site, YouTubeAbstract
Various technological tools are adopted in the learning process to help students access available knowledge on the net. Due to the COVID-19 pandemic, many Algerian teachers relied more on social network sites, such as YouTube and other applications, to provide their students with lessons. The current study sought to determine the types of videos that Algerian secondary school learners prefer. The study sample included 413 secondary-level students (66% females and 34% males). A short four-question questionnaire was used to collect data. The results indicated that students spent more than 4 hours online daily. They preferred educational content in short videos of 10 minutes at maximum, as well as videos containing content related to materials and exercises pertinent to baccalaureate exercises and/or a presentation about methods of solving exercises without the presence of a teacher's picture. The study suggested recommendations on the importance of using the available technological tools and training teachers in ICT in education.
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References
Almurashi, W.A., 2016. The Effective Use of Youtube Videos for Teaching English Language in Classrooms as Supplementary Material at Taibah University in Alula. International Journal of English Language and Linguistics Research, 4(3), p.32–47. Available from: https://tinyurl.com/mr49e8r4.
Alpizar, D., Adesope, O.O. and Wong, R.M., 2020. A meta-analysis of signaling principle in multimedia learning environments. Educational Technology Research and Development, 68(5), pp.2095–2119. Available from: https://doi.org/10.1007/s11423-020-09748-7. DOI: https://doi.org/10.1007/s11423-020-09748-7
Anderson, P., 2007. What is Web 2.0? Ideas, technologies, and implications for education. (JISC Technology & Standards Watch). Available from: http://21stcenturywalton.pbworks.com/f/What+is+Web+2.0.pdf.
Ayres, P. and Sweller, J., 2014. The Split-Attention Principle in Multimedia Learning. In: R.E. Mayer, ed. The Cambridge Handbook of Multimedia Learning. Cambridge University Press, Cambridge Handbooks in Psychology, p.206–226. Available from: https://doi.org/10.1017/CBO9781139547369. DOI: https://doi.org/10.1017/CBO9781139547369.011
Colliot, T. and Jamet, É., 2018. Understanding the effects of a teacher video on learning from a multimedia document: an eye-tracking study. Educational Technology Research and Development, 66(6), pp.1415–1433. Available from: https://doi.org/10.1007/s11423-018-9594-x. DOI: https://doi.org/10.1007/s11423-018-9594-x
Coman, C., T, îru, L.G., Meses, an-Schmitz, L., Stanciu, C. and Bularca, M.C., 2020. Online Teaching and Learning in Higher Education during the Coronavirus Pandemic: Students’ Perspective. Sustainability, 12(24), p.10367. Available from: https://doi.org/10.3390/su122410367. DOI: https://doi.org/10.3390/su122410367
Davis, R.O., 2018. The impact of pedagogical agent gesturing in multimedia learning environments: A meta-analysis. Educational Research Review, 24, pp.193–209. Available from: https://doi.org/10.1016/j.edurev.2018.05.002. DOI: https://doi.org/10.1016/j.edurev.2018.05.002
Day, J.A., 2008. Investigating learning with web lectures. Ph.D. thesis. Georgia Institute of Technology. Available from: https://repository.gatech.edu/server/api/core/bitstreams/b5c3a11b-10bc-41fe-82b6-6b959884066b/content.
Demiray, U., ed., 2010. e-Learning Practices: Cases on Challenges Facing E-Learning and National Development: Institutional Studies and Practices, vol. II. Eskisehir-Turkey: Anadolu University. Available from: https://eric.ed.gov/?id=ED508255.
Domagk, S., 2010. Do Pedagogical Agents Facilitate Learner Motivation and Learning Outcomes? Journal of Media Psychology, 22(2), pp.84–97. Available from: https://doi.org/10.1027/1864-1105/a000011. DOI: https://doi.org/10.1027/1864-1105/a000011
Ezell, D., 2023. The Ultimate Guide to Easily Make Instructional Videos. Available from: https://www.techsmith.com/blog/instructional-videos/.
Fleck, B.K.B., Beckman, L.M., Sterns, J.L. and Hussey, H.D., 2014. YouTube in the Classroom: Helpful Tips and Student Perceptions. Journal of Effective Teaching, 14(3), pp.21–37. Available from: https://eric.ed.gov/?id=EJ1060489.
Gaur, M. and Bohra, R., 2019. Efficacy of New Media Based Video Lectures in Open and Distance Education System of India. Asian Journal of Distance Education, 14(2), pp.144–159. Available from: https://eric.ed.gov/?id=EJ1297342.
Guo, P.J., Kim, J. and Rubin, R., 2014. How video production affects student engagement: an empirical study of MOOC videos. Proceedings of the First ACM Conference on Learning @ Scale Conference. New York, NY, USA: Association for Computing Machinery, L@S ’14, p.41–50. Available from: https://doi.org/10.1145/2556325.2566239. DOI: https://doi.org/10.1145/2556325.2566239
Hamid, O.H. and El Samad, A., 2015. The Blurred Line between “Long” and “Short”: How the Length of Video Lectures Affects the Viewing Behavior of E-Learners. Computer Engineering and Intelligent Systems, 6(3), pp.32–37. Available from: https://iiste.org/Journals/index.php/CEIS/article/view/20462.
Hassinger-Das, B., Dore, R.A., Aloisi, K., Hossain, M., Pearce, M. and Paterra, M., 2020. Children’s Reality Status Judgments of Digital Media: Implications for a COVID-19 World and Beyond. Frontiers in Psychology, 11. Available from: https://doi.org/10.3389/fpsyg.2020.570068. DOI: https://doi.org/10.3389/fpsyg.2020.570068
Heidig, S. and Clarebout, G., 2011. Do pedagogical agents make a difference to student motivation and learning? Educational Research Review, 6(1), pp.27–54. Available from: https://doi.org/10.1016/j.edurev.2010.07.004. DOI: https://doi.org/10.1016/j.edurev.2010.07.004
Henderson, M.L. and Schroeder, N.L., 2021. A Systematic review of instructor presence in instructional videos: Effects on learning and affect. Computers and Education Open, 2, p.100059. Available from: https://doi.org/10.1016/j.caeo.2021.100059. DOI: https://doi.org/10.1016/j.caeo.2021.100059
Himeur, S. and Bieaziz, I., 2021. Recreational uses of YouTube and its impact on educational attainment: A field study on a sample of adolescents in the county of M’sila. Journal of Social and Human Sciences, 11(1), p.582–606. Available from: https://www.asjp.cerist.dz/en/article/160511.
Internet World Stats, 2021. Algeria Internet Stats and Telecommunications Report. Available from: https://www.internetworldstats.com/af/dz.htm.
Kalyuga, S. and Sweller, J., 2014. The Redundancy Principle in Multimedia Learning. In: R.E. Mayer, ed. The Cambridge Handbook of Multimedia Learning. Cambridge University Press, Cambridge Handbooks in Psychology, p.247–262. Available from: https://doi.org/10.1017/CBO9781139547369. DOI: https://doi.org/10.1017/CBO9781139547369.013
Kemp, S., 2022. Digital 2022: Algeria. Available from: https://datareportal.com/reports/digital-2022-algeria.
Kim, J., Guo, P.J., Seaton, D.T., Mitros, P., Gajos, K.Z. and Miller, R.C., 2014. Understanding in-video dropouts and interaction peaks inonline lecture videos. Proceedings of the First ACM Conference on Learning @ Scale Conference. New York, NY, USA: Association for Computing Machinery, L@S ’14, p.31–40. Available from: https://doi.org/10.1145/2556325.2566237. DOI: https://doi.org/10.1145/2556325.2566237
Kumi, R., Conway, C.M., Limayem, M. and Goyal, S., 2013. Research Article Learning in Color: How Color and Affect Influence Learning Outcomes. IEEE Transactions on Professional Communication, 56(1), pp.2–15. Available from: https://doi.org/10.1109/TPC.2012.2208390. DOI: https://doi.org/10.1109/TPC.2012.2208390
Lagerstrom, L., Johanes, P. and Ponsukcharoen, U., 2015. The Myth of the Six-Minute Rule: Student Engagement with Online Videos. 2015 ASEE Annual Conference & Exposition. Seattle, Washington: ASEE Conferences, pp.26.1558.1–26.1558.17. Available from: https://doi.org/10.18260/p.24895. DOI: https://doi.org/10.18260/p.24895
Li, W., Wang, F., Mayer, R.E. and Liu, H., 2019. Getting the point: Which kinds of gestures by pedagogical agents improve multimedia learning? Journal of Educational Psychology, 111(8), p.1382–1395. Available from: https://doi.org/10.1037/edu0000352. DOI: https://doi.org/10.1037/edu0000352
Manalu, C., 2022. The Use of Youtube to Enhance Students’ Participation in Distance Learning Mode. Indonesian Journal of Instructional Media and Model, 4(1), p.20–27. Available from: https://doi.org/10.32585/ijimm.v4i1.2674. DOI: https://doi.org/10.32585/ijimm.v4i1.2674
Mayer, R.E., 2014. Cognitive Theory of Multimedia Learning. In: R.E. Mayer, ed. The Cambridge Handbook of Multimedia Learning. Cambridge University Press, Cambridge Handbooks in Psychology, p.43–71. Available from: https://doi.org/10.1017/CBO9781139547369. DOI: https://doi.org/10.1017/CBO9781139547369.005
Mayer, R.E., 2014. Introduction to Multimedia Learning. In: R.E. Mayer, ed. The Cambridge Handbook of Multimedia Learning. Cambridge University Press, Cambridge Handbooks in Psychology, p.1–24. Available from: https://doi.org/10.1017/CBO9781139547369. DOI: https://doi.org/10.1017/CBO9781139547369.002
Mayer, R.E., 2014. Principles Based on Social Cues in Multimedia Learning: Personalization, Voice, Image, and Embodiment Principles. In: R.E. Mayer, ed. The Cambridge Handbook of Multimedia Learning. Cambridge University Press, Cambridge Handbooks in Psychology, p.345–368. Available from: https://doi.org/10.1017/CBO9781139547369. DOI: https://doi.org/10.1017/CBO9781139547369.017
Mayer, R.E. and DaPra, C.S., 2012. An embodiment effect in computer-based learning with animated pedagogical agents. Journal of Experimental Psychology: Applied, 18(3), p.239–252. Available from: https://doi.org/10.1037/a0028616. DOI: https://doi.org/10.1037/a0028616
Nielsen, K.L., 2020. Students’ video viewing habits during a flipped classroom course in engineering mathematics. Research in Learning Technology, 28. Available from: https://doi.org/10.25304/rlt.v28.2404. DOI: https://doi.org/10.25304/rlt.v28.2404
Ocaña, M., Mejía, R., Larrea, C., Analuisa, C. and Freire, C., 2021. Informal Learning in Social Networks During the COVID-19 Pandemic: An Empirical Analysis. In: M. Botto-Tobar, H. Cruz and A. Díaz Cadena, eds. Artificial Intelligence, Computer and Software Engineering Advances. Cham: Springer International Publishing, Advances in Intelligent Systems and Computing, vol. 1327, pp.400–414. Available from: https://doi.org/10.1007/978-3-030-68083-1_30. DOI: https://doi.org/10.1007/978-3-030-68083-1_30
OECD, 2024. OECD broadband statistics update. Available from: https://www.oecd.org/digital/broadband/broadband-statistics-update.htm.
Otte, E. and Rousseau, R., 2002. Social network analysis: a powerful strategy, also for the information sciences. Journal of Information Science, 28(6), pp.441–453. Available from: https://doi.org/10.1177/016555150202800601. DOI: https://doi.org/10.1177/016555150202800601
Pattier, D., 2021. Teachers and YouTube: The use of video as an educational resource. Ricerche di Pedagogia e Didattica. Journal of Theories and Research in Education, 16(1), p.59–77. Available from: https://doi.org/10.6092/issn.1970-2221/11584.
Pavlovic, D. and Obradovic, N., 2015. YouTube as a resource for continuous education of journalism students. In: I. Roceanu, L. Ciolan, C. Radu, Ş.T. Matu and I.A. Stefan, eds. Education & Technology in (Post)pandemic times: Proceedings of the 17th International Scientific Conference “eLearning and Software for Education”. Bucharest, April 22 - 23, 2021. Bucharest: Carol I National Defence University Publishing House, eLSE, vol. I, pp.258–263. Available from: https://doi.org/10.12753/2066-026x-15-038. DOI: https://doi.org/10.12753/2066-026X-15-038
Plass, J.L., Heidig, S., Hayward, E.O., Homer, B.D. and Um, E., 2014. Emotional design in multimedia learning: Effects of shape and color on affect and learning. Learning and Instruction, 29, pp.128–140. Available from: https://doi.org/10.1016/j.learninstruc.2013.02.006. DOI: https://doi.org/10.1016/j.learninstruc.2013.02.006
Pultoo, A., Bullee, A., Meunier, J.N., Sheoraj, K., Panchoo, S., Naseeven, P., Ujoodha, M., Roocha, V., Rajcoomar, H. and Oojorah, A., 2020. Classe21: Educators’ acceptance of technology-enhanced classroom using the UTAUT model. Journal of Education and Social Sciences, 14(1), pp.39–48. Available from: https://www.jesoc.com/wp-content/uploads/2020/05/JESOC-14_210-B.pdf.
Reece, R.J., 2013. Lecture Capture at The University of Manchester. Available from: https://documents.manchester.ac.uk/display.aspx?DocID=29418.
Richter, J., Scheiter, K. and Eitel, A., 2016. Signaling text-picture relations in multimedia learning: A comprehensive meta-analysis. Educational Research Review, 17, pp.19–36. Available from: https://doi.org/10.1016/j.edurev.2015.12.003. DOI: https://doi.org/10.1016/j.edurev.2015.12.003
Schneider, S., Beege, M., Nebel, S. and Rey, G.D., 2018. A meta-analysis of how signaling affects learning with media. Educational Research Review, 23, pp.1–24. Available from: https://doi.org/10.1016/j.edurev.2017.11.001. DOI: https://doi.org/10.1016/j.edurev.2017.11.001
Selami, S. and Figuri, L., 2022. Educational Blogging Strategy (Educational YouTube) in Raising Educational Attainment: Properties and Experiences. Aklam Review, 1(2), pp.6–16. Available from: https://www.asjp.cerist.dz/en/downArticle/860/1/2/207394.
Stathopoulou, A., Siamagka, N.T. and Christodoulides, G., 2019. A multi-stakeholder view of social media as a supporting tool in higher education: An educator–student perspective. European Management Journal, 37(4), pp.421–431. Available from: https://doi.org/10.1016/j.emj.2019.01.008. DOI: https://doi.org/10.1016/j.emj.2019.01.008
Statista, 2021. Time spent per user worldwide per session on YouTube from January 2020 to March 2021 (in seconds). Available from: https://www.statista.com/statistics/1257254/youtubecom-time-spent-per-visit/.
Sturm, M., Kennell, T., McBride, R. and Kelly, M., 2009. The Pedagogical Implications of Web 2.0. In: M. Thomas, ed. Handbook of Research on Web 2.0 and Second Language Learning. Hershey, PA: IGI Global, p.367–384. Available from: https://doi.org/10.4018/978-1-60566-190-2.ch020. DOI: https://doi.org/10.4018/978-1-60566-190-2.ch020
Suresh, M., Vishnu Priya, V. and Gayathri, R., 2018. Effect of e-learning on academic performance of undergraduate students. Drug Invention Today, 10(9), pp.1797–1800.
Tham, C.M. and Werner, J.M., 2005. Designing and Evaluating E-Learning in Higher Education: A Review and Recommendations. Journal of Leadership & Organizational Studies, 11(2), pp.15–25. Available from: https://doi.org/10.1177/107179190501100203. DOI: https://doi.org/10.1177/107179190501100203
Yu, Z. and Gao, M., 2022. Effects of Video Length on a Flipped English Classroom. Sage Open, 12(1), p.21582440211068474. Available from: https://doi.org/10.1177/21582440211068474. DOI: https://doi.org/10.1177/21582440211068474

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Copyright (c) 2024 Khabbab Meziane Cherif, Lahcene Azzouz, Ahmed Bendania

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Accepted 2024-03-16
Published 2024-06-20