Engaging university students in online learning: a regional comparative study from the perspective of social presence theory

Alsowat, H. (2016). An flipped classroom teaching model: Effects on english language higher-order thinking skills, student engagement and satisfaction. Journal of Education and Practice, 7(9), 108–121. Biocca, F. (1997). The Cyborg’s Dilemma: Progressive embodiment in virtual environments. Journal of Computer-Mediated Communication. https://doi.org/10.1111/j.1083-6101.1997.tb00070.x Bowden, J. (2022). Analogues of engagement: Assessing tertiary student engagement in contemporary face-to-face and blended learning contexts. Higher Education Research & Development, 41(4), 997–1012. Chakraborty, M., & Nafukho, F. (2014). Strengthening student engagement: What do students want in online courses? European Journal of Training and Development, 38(9), 782–802. Chang, C., & Hsu, M. (2016). Understanding the determinants of users’ subjective well-being in social networking sites: An integration of social capital theory and social presence theory. Behaviour & Information Technology, 35(9), 720–729. Chitkushev, L., Vodenska, I., & Zlateva, T. (2014). Digital learning impact factors: Student satisfaction and performance in online courses. International Journal of Information and Education Technology, 4(4), 356–359. Conrad, C., Deng, Q., Caron, I., Shkurska, O., Skerrett, P., & Sundararajan, B. (2022). How student perceptions about online learning difficulty influenced their satisfaction during Canada’s Covid-19 response. British Journal of Educational Technology, 53(3), 534–557. Dodwell, D. (2022). Time for a Covid-19 audit. South China Morning Post, Hong Kong. May 9, 2022, B3. El-Sayad, G., Md Saad, N. H., & Thurasamy, R. (2021). How higher education students in Egypt perceived online learning engagement and satisfaction during the COVID-19 pandemic. Journal of Computers in Education, 8(4), 527–550. Fan, X., Jiang, X., & Deng, N. (2022). Immersive technology: A meta-analysis of augmented/virtual reality applications and their impact on tourism experience. Tourism Management, 91, 104534. Finn, K., FitzPatrick, K., & Yan, Z. (2017). Integrating lecture and laboratory in health sciences courses improves student satisfaction and performance. Journal of College Science Teaching, 47(1), 66–75. Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. Garrison, D. R. (2007). Online community of inquiry review: Social, cognitive, and teaching presence issues. Journal of Asynchronous Learning Networks, 11(1), 61–72. Gefen, D., & Straub, D. W. (2004). Consumer Trust in B2C e-Commerce and the importance of social presence: experiments in e-products and e-services. Omega, 32, 407–424. Hair, F., Hult, G., Ringle, C., & Sarstedt, M. (2022). A primer on partial least squares Structural Equation Modelling (3rd ed.). Sage. Hair, F., Risher, J., Sarstedt, M., & Ringle, C. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. Kahn, P., Everington, L., & Kelm, K. (2017). Understanding student engagement in online learning environments: The role of reflexivity. Educational Technology Research and Development, 65, 203–218. Karaoglan Yilmaz, F. G., & Yilmaz, R. (2022). Exploring the role of sociability, sense of community and course satisfaction on students’ engagement in flipped classroom supported by facebook groups. Journal of Computers in Education. https://doi.org/10.1007/s40692-022-00226-y Karaoglan Yilmaz, F. G., & Yilmaz, R. (2022). Learning analytics intervention improves students’ engagement in online learning. Technology, Knowledge and Learning, 27, 449–460. Karaoglan Yilmaz, F. G., Zhang, K., Ustun, A., & Yilmaz, R. (2022). Transactional distance perceptions, student engagement, and course satisfaction in flipped learning: a correlational study. Interactive Learning Environment. https://doi.org/10.1080/10494820.2022.2091603 Kuo, Y., Walker, A., Schroder, K., & Belland, B. (2014). Interaction, Internet self-efficacy and self-regulated learning as predictors of student satisfaction in online education courses. Internet and Higher Education, 20, 35–50. Leong, P. (2011). Role of social presence and cognitive absorption in online learning environments. Distance Education, 32(1), 5–28. Marques, R., Malafaia, C., Faria, J., & Menezes, I. (2020). Using online tools in participatory research with adolescents to promote civic engagement and environmental mobilization: The WaterCircle (WC) project. Environmental Education Research, 26(7), 1043–1059. Miranda, S., & Saunders, C. (2003). The social construction of meaning: An alternative perspective on information sharing. Information Systems Research, 14(1), 87–106. Ng, P. M., Chan, J. K., & Lit, K. K. (2022). Student learning performance in online collaborative learning. Education and Information Technologies, 27(6), 8129–8145. Ooi, K. B., Hew, J. J., & Lee, V. H. (2018). Could the mobile and social perspectives of mobile social learning platforms motivate learners to learn continuously? Computers & Education, 120, 127–145. Orlowski, M., Mejia, C., Back, R., & Fridrich, J. (2021). Transition to online culinary and beverage labs: Determining student engagement and satisfaction during COVID-19. Journal of Hospitality & Tourism Education, 33(3), 163–175. Osei-Frimpong, K., & McLean, G. (2018). Examining online social brand engagement: A social presence theory perspective. Technology Forecasting & Social Change, 128, 10–21. Salas-Pilco, S. Z., Yang, Y., & Zhang, Z. (2022). Student engagement in online learning in Latin American higher education during the COVID-19 pandemic: A systematic review. British Journal of Educational Technology, 53(3), 593–619. TheVibes (February 2022) Leave decision on reopening campuses to unis, colleges: academics tell govt. Accessed on 15 Jun 2022, from https://www.thevibes.com/articles/education/54287/leave-decisions-on-reopening-of-campus-to-universities-colleges-academics-tell-govt Quin, D. (2017). Longitudinal and contextual associations between teacher-student relationship and student engagement: A systematic review. Review of Educational Research, 87(2), 345–387. Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: A principle-agent perspective. MIS Quarterly, 31, 105–136. Rodriguez-Ardura, I., & Meseguer-Artola, A. (2020). Journal of Theoretical and Applied Electronic Commerce Research, 15(2), 1–5. Shen, K. N., & Khalifa, K. (2008). Exploring multidimensional conceptualization of social presence in the context of online communities. International Journal of Human-Computer Interaction, 24(2), 722–748. Shen, K. N., Yu, A. Y., & Khalifa, K. (2010). Knowledge contribution in virtual communities: Accounting for multiple dimensions of social presence through social identity. Behaviour & Information Technology, 29(4), 337–348. Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European journal of marketing. https://doi.org/10.1108/EJM-02-2019-0189 Su, C. Y., & Guo, Y. (2021). Factors impacting university students’ online learning experiences during the COVID-19 epidemic. Journal of Computer Assisted Learning, 37(6), 1578–1590. Sun, J. C. Y., & Rueda, R. (2012). Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education. British Journal of Educational Technology, 43(2), 191–204. Ustun, A., Karaoglan Yilmaz, F. G., & Yilmaz, R. (2021). Investigating the role of accepting learning management system on students’ engagement and sense of community in blended learning. Education and Information Technologies, 26, 4751–4769. Wut, T. M., & Lee, S. W. (2021). Factors affecting students’ online behavioral intention in using discussion forum. Interactive Technology and Smart Education, 19(3), 300. Wut, T. M., Lee, S. W., & Xu, J. (2022a). Work from home challenges of the pandemic era in Hong Kong: A stimulus-organism-response perspective. International Journal of Environmental Research and Public Health, 19, 3420. Wut, T. M., Wong, H. S., & Sum, C. (2022). A Study of Continuance use intention of an online learning system after Coronavirus disease 2019 pandemic outbreak. Asia Pacific Journal of Education. https://doi.org/10.1080/02188791.2022.2051696 Wut, T. M., & Xu, J. (2021). Person-to-person interactions in online classroom settings under the impact of COVID-19: a social presence theory perspective. Asia Pacific Education Review. https://doi.org/10.1007/s12564-021-09673-1 Yu, A., Tian, S., Vogel, D., & Kwok, R. (2010). Can learning be virtually boosted? An investigation of online social networking impacts? Computer & Education, 55(4), 1494–1503.