Pre-service CEIT teachers’ preferred YouTube use motives, engagements, video categories, and differences by gender

References

• Alexa. (2021). The Top 500 Sites on the Web. Retrieved May 14, 2021, from http://www.alexa.com/topsites
   Google Scholar
• Alhadabi, A., & Karpinski, A.C. (2020). Development and psychometric assessment of the social media motives scale among university students. European Journal of Educational Research, 9(2), 835–851. https://doi.org/10.12973/eu-jer.9.2.835
   Google Scholar
• Bärtl, M. (2018). YouTube channels, uploads and views: A statistical analysis of the past 10 years. Convergence: The International Journal of Research into New Media Technologies, 24(1), 16–32. https://doi.org/10.1177/1354856517736979
   Web of Science ®Google Scholar
• Bergdahl, N., Nouri, J., Fors, U., & Knutsson, O. (2020). Engagement, disengagement and performance when learning with technologies in upper secondary school. Computers and Education, 149, 103783. https://doi.org/10.1016/j.compedu.2019.103783
   Web of Science ®Google Scholar
• Buf, D.M., & Ștefăniță, O. (2020). Uses and gratifications of YouTube: A comparative analysis of users and content creators. Romanian Journal of Communication and Public Relations, 22(2), 75–89. https://doi.org/10.21018/rjcpr.2020.2.301
   Google Scholar
• Burgess, J., & Green, J. (2018). YouTube: Online video and participatory culture. John Wiley & Sons.
   Google Scholar
• Cayari, C. (2011). The YouTube effect: How YouTube has provided new ways to consume, create, and share music. International Journal of Education & the Arts, 12(6), 1–30.
   Google Scholar
• Chau, C. (2010). YouTube as a participatory culture. New Directions for Youth Development, 2010(128), 65–74. https://doi.org/10.1002/yd.376
   PubMedGoogle Scholar
• Che, X., Ip, B., & Lin, L. (2015). A survey of current YouTube video characteristics. IEEE MultiMedia, 22(2), 56–63. https://doi.org/10.1109/MMUL.2015.34
   Web of Science ®Google Scholar
• Dahiru, A.S., & Bah, M. (2020). Effect of YouTube video instruction on secondary school students’ interest span and achievement in practical land preparation skills in Yobe State. International Journal of Innovative Information System and Technology Research, 8(1), 100–108.
   Google Scholar
• Dean, B. (2021). How Many People Use YouTube in 2021?. Retrieved December 10, 2021 from https://backlinko.com/youtube-users
   Google Scholar
• Dumrongsiri, N., & Pornsakulvanich, V. (2010). Social networking sites in Thailand: Motives and predictors of university students’ behaviours. International Journal of Innovation and Learning, 8(4), 427–444. ht tps://doi.org/https://www.inderscienceonline.com/doi/pdf/10.1504/IJIL.2010.035751
   Google Scholar
• Field, A. (2009). Discovering statistics using SPSS (3rd ed.). Sage.
   Google Scholar
• Gil-Quintana, J., Malvasi, V., Castillo-Abdul, B., & Romero-Rodríguez, L.M. (2020). Learning leaders: Teachers or YouTubers? Participatory culture and STEM competencies in Italian secondary school students. Sustainability, 12(18), 7466. https://doi.org/10.3390/su12187466
   Web of Science ®Google Scholar
• Guo, P.J., Kim, J., & Rubin, R. (2014). How video production affects student engagement: An empirical study of MOOC videos, In Proceedings of the first ACM conference on Learning@ scale conference (pp. 41e50). ACM. https://doi.org/10.1145/2556325.2566239
   Google Scholar
• Haridakis, P., & Hanson, G. (2009). Social interaction and co-viewing with YouTube: Blending mass communication reception and social connection. Journal of Broadcasting & Electronic Media, 53(2), 317–335. https://doi.org/10.1080/08838150902908270
   Web of Science ®Google Scholar
• Hollebeek, L. (2011). Exploring customer brand engagement: Definition and themes. Journal of Strategic Marketing, 19(7), 555–573. https://doi.org/10.1080/0965254X.2011.599493
   Google Scholar
• Hooper, D., Coughlan, J., & Mullen, M.R. (2008). Structural equation modelling: Guidelines for determining model fit. International Journal of Offshore and Polar Engineering, 6(1), 53–60.
   Google Scholar
• Jeong, J.W., Lee, J.Y., & Lee, C.S. (2019). An analysis of characteristics and user reactivity by video categories on YouTube. Journal of Digital Contents Society, 20(12), 2573–2582. https://doi.org/10.9728/dcs.2019.20.12.2573
   Google Scholar
• Jill, M.D., Wang, D., & Mattia, A. (2019). Are instructor generated YouTube videos effective in accounting classes? A study of student performance, engagement, motivation, and perception. Journal of Accounting Education, 47, 63–74. https://doi.org/10.1016/j.jaccedu.2019.02.002
   Google Scholar
• Kalaycı, Ş. (2010). Multivariate statistical techniques with SPSS (vol. 5). Asil Yayın Dağıtım.
   Google Scholar
• Katz, E., Haas, H., & Gurevitch, M. (1973). On the use of the mass media for important things. American Sociological Review, 38(2), 164–181. https://doi.org/10.2307/2094393
   Web of Science ®Google Scholar
• Khan, M.L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236–247. https://doi.org/10.1016/j.chb.2016.09.024
   Web of Science ®Google Scholar
• Khan, G.F., & Sokha, V. (2014). Virality over YouTube: An empirical analysis. Internet Research, 24(5), 629–647. https://doi.org/10.1108/IntR-05-2013-0085
   Web of Science ®Google Scholar
• Kim, J.H., & Koo, J.H. (2021). Tweens’ information needs and information practices on YouTube. Journal of Korean Library and Information Science Society, 52(2), 275–301. https://doi.org/10.5392/JKCA.2020.20.02.114
   Google Scholar
• Kitamura, S., Kawai, D., & Sasaki, Y. (2019). How social network site users’ motives predict their online network sizes: A quantile regression approach to Japanese twitter usage. International Journal of Human–Computer Interaction, 35(7), 548–558. https://doi.org/10.1080/10447318.2018.1471838
   Web of Science ®Google Scholar
• Lange, P.G. (2007). Publicly private and privately public: Social networking on YouTube. Journal of Computer-Mediated Communication, 13(1), 361–380. https://doi.org/10.1111/j.1083-6101.2007.00400.x
   Web of Science ®Google Scholar
• Lee, J.Y., Ham, M., & Lee, S.W. (2021). Empirical study on video clip consumption: Focusing on viewing habits and use motives. International Journal of Mobile Communications, 19(2), 153–168. https://doi.org/10.1504/IJMC.2021.113450
   Web of Science ®Google Scholar
• Lesser, O., Hayat, T., & Elovici, Y. (2017). The role of network setting and gender in online content popularity. Information, Communication & Society, 20(11), 1607–1624. https://doi.org/10.1080/1369118X.2016.1252411
   Web of Science ®Google Scholar
• Liikkanen, L.A., & Salovaara, A. (2015). Music on YouTube: User engagement with traditional, user-appropriated and derivative videos. Computers in Human Behavior, 50, 108–124. https://doi.org/10.1016/j.chb.2015.01.067
   Web of Science ®Google Scholar
• Lim, J.S., Heinrichs, J.H., & Lim, K.S. (2017). Gender and hedonic usage motive differences in social media site usage behavior. Journal of Global Marketing, 30(3), 161–173. https://doi.org/10.1080/08911762.2017.1308615
   Google Scholar
• Lin, K.Y., & Lu, H.P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152–1161. https://doi.org/10.1016/j.chb.2010.12.009
   Web of Science ®Google Scholar
• Lopez-Buenache, G., Meseguer-Martínez, Á., Ros-Gálvez, A., & Rosa-Garcia, A. (2022). Connected audiences in digital media markets: The dynamics of university online video impact. European Research on Management and Business Economics, 28(1), 100176. https://doi.org/10.1016/j.iedeen.2021.100176
   Web of Science ®Google Scholar
• McMillan, J.H., & Schumacher, S. (2010). Research in education: Evidence-based inquiry. MyEducationLab Series, Pearson.
   Google Scholar
• McQuail, D. (1983). Mass communication theory: An introduction. Sage.
   Google Scholar
• Moghavvemi, S., Sulaiman, A., Jaafar, N.I., & Kasem, N. (2018). Social media as a complementary learning tool for teaching and learning: The case of YouTube. The International Journal of Management Education, 16(1), 37–42. https://doi.org/10.1016/j.ijme.2017.12.001
   Web of Science ®Google Scholar
• Moreira, J.A.M., Santana, C.L., & Bengoechea, A.G. (2019). Teaching and learning in digital social networks: The mathgurl case on YouTube. Revista de la SEECI, 50, 107–127. https://doi.org/10.15198/seeci.2019.50.107-127
   Google Scholar
• Munaro, A.C., Hübner Barcelos, R., Francisco Maffezzolli, E.C., Santos Rodrigues, J.P., & Cabrera Paraiso, E. (2021). To engage or not engage? The features of video content on YouTube affecting digital consumer engagement. Journal of Consumer Behaviour, 20(5), 1336–1352. https://doi.org/10.1002/cb.1939
   Web of Science ®Google Scholar
• Nacak, A., Bağlama, B., & Demir, B. (2020). Teacher candidate views on the use of YouTube for educational purposes. Online Journal of Communication and Media Technologies, 10(2), e202003. https://doi.org/10.29333/ojcmt/7827
   Web of Science ®Google Scholar
• Nagler, W., Haas, M., Schön, M., & Ebner, M. (2019). Professor YouTube and their interactive colleagues: How enhanced videos and online courses change the way of learning. In J. Theo Bastiaens (Ed.), Proceedings of EdMedia + Innovate Learning (pp. 796–805). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE). Retrieved November 23, 2021, from https://www.learntechlib.org/primary/p/210078/.
   Google Scholar
• Orús, C., Barlés, M.J., Belanche, D., Casaló, L., Fraj, E., & Gurrea, R. (2016). The effects of learner-generated videos for YouTube on learning outcomes and satisfaction. Computers & Education, 95, 254–269. https://doi.org/10.1016/j.compedu.2016.01.007
   Web of Science ®Google Scholar
• Pal, D., & Patra, S. (2021). University students’ perception of video-based learning in times of COVID-19: A TAM/TTF perspective. International Journal of Human–Computer Interaction, 37(10), 903–921. https://doi.org/10.1080/10447318.2020.1848164
   Web of Science ®Google Scholar
• Park, M., Naaman, M., & Berger, J. (2016, March). A data-driven study of view duration on YouTube, In Proceedings of the International AAAI Conference on Web and social media, 10(1). https://ojs.aaai.org/index.php/ICWSM/article/view/14781
   Google Scholar
• 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), 59–77. https://doi.org/10.6092/issn.1970-2221/11584
   Google Scholar
• Regueira, U., Alonso-Ferreiro, A., & Da-Vila, S. (2020). Women on YouTube: Representation and participation through the web scraping technique. Comunicar, 28(63), 31–40. https://doi.org/10.3916/C63-2020-03
   Web of Science ®Google Scholar
• Rosenthal, S. (2018). Motivations to seek science videos on YouTube: Free-choice learning in a connected society. International Journal of Science Education, 8(1), 22–39. https://doi.org/10.1080/21548455.2017.1371357
   Web of Science ®Google Scholar
• Saurabh, S., & Gautam, S. (2019). Modelling and statistical analysis of YouTube’s educational videos: A channel owner’s perspective. Computers & Education, 128, 145–158. https://doi.org/10.1016/j.compedu.2018.09.003
   Web of Science ®Google Scholar
• Schreiber, J.B., Nora, A., Stage, F.K., Barlow, E.A., & King, J. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99(6), 323–338. https://doi.org/10.3200/JOER.99.6.323-338
   Web of Science ®Google Scholar
• Shao, G. (2009). Understanding the appeal of user‐generated media: A uses and gratification perspective. Internet Research, 19(1), 7–25. https://doi.org/10.1108/10662240910927795
   Web of Science ®Google Scholar
• Shoufan, A. (2019). Estimating the cognitive value of YouTube’s educational videos: A learning analytics approach. Computers in Human Behavior, 92, 450–458. https://doi.org/10.1016/j.chb.2018.03.036
   Web of Science ®Google Scholar
• Shoufan, A., & Mohamed, F. (2022). YouTube and Education: A Scoping Review. IEEE Access, 10, 125576–125599. https://doi.org/10.1109/ACCESS.2022.3225419
   Web of Science ®Google Scholar
• Siersdorfer, S., Chelaru, S., Nejdl, W., & San Pedro, J. (2010, April). How useful are your comments? Analyzing and predicting YouTube comments and comment ratings. In Proceedings of the 19th international conference on World wide web (pp. 891–900). https://doi.org/10.1145/1772690.1772781
   Google Scholar
• Sigerson, L., & Cheng, C. (2018). Scales for measuring user engagement with social network sites: A systematic review of psychometric properties. Computers in Human Behavior, 83, 87–105. https://doi.org/10.1016/j.chb.2018.01.023
   Web of Science ®Google Scholar
• Srinivasacharlu, A. (2020). Using YouTube in colleges of education. Shanlax International Journal of Education, 8(2), 21–24. https://doi.org/10.34293/education.v8i2.1736
   Google Scholar
• Statista, (2021). Online Video Usage in the United States: Statistics & Facts, Online Video & Entertainment. Retrieved May 20, 2021, from https://www.statista.com/topics/1137/online-video/#dossierKeyfigures
   Google Scholar
• Szeto, E., & Cheng, A.Y.N. (2014). Exploring the usage of ICT and YouTube for teaching: A study of pre-service teachers in Hong Kong. The Asia-Pacific Education Researcher, 23(1), 53–59. https://doi.org/10.1007/s40299-013-0084-y
   Web of Science ®Google Scholar
• Szeto, E., Cheng, A.Y.N., & Hong, J.C. (2016). Learning with social media: How do preservice teachers integrate YouTube and social media in teaching? The Asia-Pacific Education Researcher, 25(1), 35–44. https://doi.org/10.1007/s40299-015-0230-9
   Web of Science ®Google Scholar
• Tahat, K.M., Al-Sarayrah, W., Salloum, S.A., Habes, M., & Ali, S. (2021). The influence of YouTube videos on the learning experience of disabled people during the COVID-19 outbreak. In Hassanien Aboul-Ella, Elghamrawy Sally M., & Zelinka Ivan (Eds.), Advances in data science and intelligent data communication technologies for COVID-19: Innovative solutions against COVID-19 (pp. 239–252). Springer International Publishing.
   Google Scholar
• Tella, A., Bode Obanla, O., & Sulyman Age, A. (2020). The perspective of undergraduate students on information needs and seeking behavior through YouTube. Journal of Electronic Resources Librarianship, 32(2), 94–109. https://doi.org/10.1080/1941126X.2020.1739826
   Google Scholar
• Turan, Z., & Cetintas, H.B. (2020). Investigating university students’ adoption of video lessons. Open Learning: The Journal of Open, Distance and E-Learning, 35(2), 122–139. https://doi.org/10.1080/02680513.2019.1691518
   Google Scholar
• Van Laer, T., Edson Escalas, J., Ludwig, S., Van Den Hende, E., Johar, G.V., Inman, J.J., & Herr, P.M. (2018). What happens in Vegas stays on TripAdvisor? A theory and technique to understand narrativity in consumer reviews. Journal of Consumer Research, 46, 267–285. https://doi.org/10.1093/jcr/ucy067
   Web of Science ®Google Scholar
• Walsh, J.N., O’Brien, M.P., & Slattery, D.M. (2019). Video viewing patterns using different teaching treatments: A case study using YouTube Analytics. Research in Education and Learning Innovation Archives, 22(22), 78. https://doi.org/10.7203/realia.22.15389
   Google Scholar
• Yang, C., Hsu, Y.C., & Tan, S. (2010). Predicting the determinants of users’ intentions for using YouTube to share video: Moderating gender effects”. Cyberpsychology, Behavior, and Social Networking, 13(2), 141–152. https://doi.org/10.1089/cyber.2009.0105
   PubMed Web of Science ®Google Scholar