Is it the same, socially? Fully online learning and its impacts on social identification, academic performance and confidence

References

• Amemado, D. (2020). COVID-19: An unexpected and unusual driver to online education. International Higher Education, (102), 12–14. https://doi.org/10.36197/IHE.2020.102.06
   Google Scholar
• Aristovnik, A., Keržič, D., Ravšelj, D., Tomaževič, N., & Umek, L. (2020). Impacts of the COVID-19 pandemic on life of higher education students: A global perspective. Sustainability, 12(20), 8438. https://doi.org/10.3390/su12208438
   Web of Science ®Google Scholar
• Biggs, J. (1999). What the student does: Teaching for enhanced learning. Higher Education Research & Development, 18(1), 57–75. https://doi.org/10.1080/0729436990180105
   Google Scholar
• Biggs, J., Kember, D., & Leung, D. Y. (2001). The revised two-factor study process questionnaire: R-SPQ-2F. British Journal of Educational Psychology, 71(Pt 1), 133–149. https://doi.org/10.1348/000709901158433
   PubMedGoogle Scholar
• Bliuc, A. M., Ellis, R. A., Goodyear, P., & Hendres, D. M. (2011a). The role of social identification as university student in learning: Relationships between students’ social identity, approaches to learning, and academic achievement. Educational Psychology, 31(5), 559–574. https://doi.org/10.1080/01443410.2011.585948
   Web of Science ®Google Scholar
• Bliuc, A. M., Ellis, R. A., Goodyear, P., & Hendres, D. M. (2011b). Understanding student learning in context: Relationships between university students’ social identity, approaches to learning, and academic performance. European Journal of Psychology of Education, 26(3), 417–433. https://doi.org/10.1007/s10212-011-0065-6
   Web of Science ®Google Scholar
• Choy, J. L. F., O’Grady, G., & Rotgans, J. I. (2012). Is the study process questionnaire (SPQ) a good predictor of academic achievement? Examining the mediating role of achievement-related classroom behaviours. Instructional Science, 40(1), 159–172. https://doi.org/10.1007/s11251-011-9171-8
   Web of Science ®Google Scholar
• Chu, T.-H., & Chen, Y.-Y. (2016). With good we become good: Understanding e-learning adoption by theory of planned behavior and group influences. Computers & Education, 92–93, 37–52. https://doi.org/10.1016/j.compedu.2015.09.013
   Web of Science ®Google Scholar
• Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71–75. https://doi.org/10.1207/s15327752jpa4901_13
   PubMed Web of Science ®Google Scholar
• Guy, R., Byrne, B., & Dobos, M. (2018). Optional anatomy and physiology e-learning resources: Student access, learning approaches, and academic outcomes. Advances in Physiology Education, 42(1), 43–49. https://doi.org/10.1152/advan.00007.2017
   PubMed Web of Science ®Google Scholar
• Haslam, S. A. (2004). Psychology in organizations: The social identity approach (2nd ed.). Sage.
   Google Scholar
• Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications.
   Google Scholar
• Irwin, C., & Berge, Z. (2006). Socialization in the online classroom. E-Journal of Instructional Science and Technology, 9(1), n1. ISSN 1324-0781.
   Google Scholar
• Kemp, N., & Grieve, R. (2014). Face-to-face or face-to-screen? Undergraduates’ opinions and test performance in classroom vs. Online learning. Frontiers in Psychology, 5, 1278. https://doi.org/10.3389/fpsyg.2014.01278
   PubMed Web of Science ®Google Scholar
• Li, F., Qi, J., Wang, G., & Wang, X. (2014). Traditional classroom vs e-learning in higher education: Difference between students’ behavioral engagement. International Journal of Emerging Technologies in Learning (iJET), 9(2), 48–51. https://doi.org/10.3991/ijet.v9i2.3268
   Google Scholar
• McInnerney, J. M., & Roberts, T. S. (2004). Online learning: Social interaction and the creation of a sense of community. Journal of Educational Technology & Society, 7(3), 73–81. ISSN 11763647.
   Web of Science ®Google Scholar
• Mehall, S. (2020). Purposeful interpersonal interaction in online learning: What is it and how is it measured? Online Learning, 24(1), 182–204. https://doi.org/10.24059/olj.v24i1.2002
   Web of Science ®Google Scholar
• Mingfang, Z., & Qi, W. (2018). Empirical research on relationship between college students’ social identity and online learning performance: A case study of Guangdong province. Higher Education Studies, 8(2), 97–106. https://doi.org/10.5539/hes.v8n2p97
   Google Scholar
• Muhisn, Z., Ahmad, M., Omar, M., & Muhisn, S. (2019). The impact of socialization on collaborative learning method in e-learning management system (eLMS). International Journal of Emerging Technologies in Learning (iJET), 14(20), 137–148. https://doi.org/10.3991/ijet.v14i20.10992
   Web of Science ®Google Scholar
• Nguyen, T., Netto, C. L. M., Wilkins, J. F., Bröker, P., Vargas, E. E., Sealfon, C. D., Puthipiroj, P., Li, K. S., Bowler, J. E., Hinson, H. R., Pujar, M., & Stein, G. M. (2021). Insights into students’ experiences and perceptions of remote learning methods: From the COVID-19 pandemic to best practice for the future. Frontiers in Education, 6, 91. https://doi.org/10.3389/feduc.2021.647986
   Google Scholar
• Njenga, J. K., & Fourie, L. C. H. (2010). The myths about e-learning in higher education. British Journal of Educational Technology, 41(2), 199–212. doi:https://doi.org/10.1111/j.1467-8535.2008.00910.x
   Web of Science ®Google Scholar
• Paul, J., & Jefferson, F. (2019). A comparative analysis of student performance in an online vs. face-to-face environmental science course from 2009 to 2016. Frontiers in Computer Science, 1, 7. https://doi.org/10.3389/fcomp.2019.00007
   Web of Science ®Google Scholar
• Piumatti, G., Abbiati, M., Gerbase, M. W., & Baroffio, A. (2021). Patterns of change in approaches to learning and their impact on academic performance among medical students: Longitudinal analysis. Teaching and Learning in Medicine, 33(2), 173–183. https://doi.org/10.1080/10401334.2020.1814295
   PubMed Web of Science ®Google Scholar
• Platow, M. J., Mavor, K. I., & Grace, D. M. (2013). On the role of discipline-related self-concept in deep and surface approaches to learning among university students. Instructional Science, 41(2), 271–285. https://doi.org/10.1007/s11251-012-9227-4
   Web of Science ®Google Scholar
• Ragusa, A. T., & Crampton, A. (2018). Sense of connection, identity and academic success in distance education: Sociologically exploring online learning environments. Rural Society, 27(2), 125–142. https://doi.org/10.1080/10371656.2018.1472914
   Web of Science ®Google Scholar
• Richardson, J. T. (2000). Researching student learning: Approaches to studying in campus-based and distance education. Open University Press.
   Google Scholar
• Schwab, K., Moseley, B., & Dustin, D. (2018). Grading grades as a measure of student learning. SCHOLE: A Journal of Leisure Studies and Recreation Education, 33(2), 87–95. https://doi.org/10.1080/1937156X.2018.1513276
   Google Scholar
• Smyth, L., Chandra, V., & Mavor, K. I. (2018). Social identification and normative conflict: When student and educator learning norms collide. Journal of Applied Social Psychology, 0(0), https://doi.org/10.1111/jasp.12505
   Google Scholar
• Smyth, L., Mavor, K. I., & Platow, M. J. (2017). Learning behaviour and learning outcomes: The roles for social influence and field of study. Social Psychology of Education, 20(1), 69–95. https://doi.org/10.1007/s11218-016-9365-7
   Web of Science ®Google Scholar
• Smyth, L., Mavor, K. I., & Platow, M. J. (2019). Social identification and academic performance: Integrating two existing models of tertiary student learning. Educational Psychology: An International Journal of Experimental Educational Psychology, 39(3), 409–425. https://doi.org/10.1080/01443410.2018.1524853
   Web of Science ®Google Scholar
• Smyth, L., Mavor, K. I., Platow, M. J., & Grace, D. M. (2017). Understanding social identity in education: The modifying role for perceived norms. In K. I. Mavor, M. J. Platow, & B. Bizumic (Eds.), Self and social identity in educational contexts (pp. 212–223). Routledge.
   Google Scholar
• Smyth, L., Mavor, K. I., Platow, M. J., Grace, D. M., & Reynolds, K. J. (2015). Discipline social identification, study norms and learning approach in university students. Educational Psychology, 35(1), 53–72. https://doi.org/10.1080/01443410.2013.822962
   Web of Science ®Google Scholar
• Stewart-Brown, S., & Janmohamed, K. (2008). Warwick-Edinburgh mental well-being scale. User Guide Version, 1.
   Google Scholar
• Tajfel, H., & Turner, J. C. (2004). The social identity theory of intergroup behavior. In J. T. Jost & J. Sidanius (Eds.), Political psychology (pp. 276–293). Psychology Press. reprinted chapter originally appeared in (Psychology of Intergroup Relations [ed. by S.Worchel; WG Austin], 1986, 7–24.
   Google Scholar
• Wallace, S., Schuler, M. S., Kaulback, M., Hunt, K., & Baker, M. (2021). Nursing student experiences of remote learning during the COVID-19 pandemic. Paper presented at the Nursing Forum.
   Google Scholar
• Wang, H. (2005). A qualitative exploration of the social interaction in an online learning community. International Journal of Technology in Teaching and Learning, 1(2), 79–88. ISSN 1551-2576.
   Google Scholar
• Wouters, A., Croiset, G., Schripsema, N. R., Cohen-Schotanus, J., Spaai, G. W. G., Hulsman, R. L., & Kusurkar, R. A. (2017). A multi-site study on medical school selection, performance, motivation and engagement. Advances in Health Sciences Education, 22(2), 447–462. https://doi.org/10.1007/s10459-016-9745-y
   PubMed Web of Science ®Google Scholar