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Articles

Do online teaching and social presences contribute to motivational growth?

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Pages 66-85 | Received 13 Jan 2022, Accepted 07 Jun 2022, Published online: 22 Jun 2022

References

  • Alghamdi, A., Karpinski, A. C., Lepp, A., & Barkley, J. (2020). Online and face-to-face classroom multitasking and academic performance: Moderated mediation with self-efficacy for self-regulated learning and gender. Computers in Human Behavior, 102, 214–222. https://doi.org/10.1016/j.chb.2019.08.018
  • Anderson, T., Rourke, L., Garrison, D. R., & Archer, W. (2001). Assessing teaching presence in a computer conferencing context. Journal of Asynchronous Learning Networks, 5(2), 1–17. http://hdl.handle.net/2149/725
  • Arbaugh, J. B., Cleveland-Innes, M., Diaz, S. R., Garrison, D. R., Ice, P., Richardson, J. C., & Swan, K. P. (2008). Developing a community of inquiry instrument: Testing a measure of the community of inquiry framework using a multi-institutional sample. The Internet and Higher Education, 11(3), 133–136. https://doi.org/10.1016/j.iheduc.2008.06.003
  • Artino, A. R. (2009). Think, feel, act: Motivational and emotional influences on military students’ online academic success. Journal of Computing in Higher Education, 21(2), 146–166. https://doi.org/10.1007/s12528-009-9020-9
  • Artino, A. R., & McCoach, D. B. (2008). Development and initial validation of the online learning value and self-efficacy scale. Journal of Educational Computing Research, 38(3), 279–303. https://doi.org/10.2190/EC.38.3.c
  • Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman.
  • Bandura, A. (2002). Growing primacy of human agency in adaptation and change in the electronic era. European Psychologist, 7(1), 2–16. https://doi.org/10.1027/1016-9040.7.1.2
  • Bangert, A. (2008). The influence of social presence and teaching presence on the quality of online critical inquiry. Journal of Computing in Higher Education, 20(1), 34–61. https://doi.org/10.1007/BF03033431
  • Bawa, P. (2016). Retention in online courses: Exploring issues and solutions: A literature review. Sage Open, 6(1), 1–11. https://doi.org/10.1177/2158244015621777
  • Bong, M., Kim, S., Reeve, J., Lim, H. J., Lee, W., Ahn, H. S., Back, S. H., Cho, C., Chung, Y., Hwang, A., Jiang, Y., Kim, H. J., Kim, J. H., Lee, J., Lee, K. H., Lee, M., Lee, S. K., Lee, S. Y., No, U. K., … Woo, Y. (2012). SMILES: The Student Motivation in the Learning Environment Scales. Korea University, Brain and Motivation Research Institute. https://bmri.korea.ac.kr/english/kcp670pm/list.asp?listType=3
  • Bonk, C. J., & Khoo, E. (2014). Adding some TEC-VARIETY: 100+ activities for motivating and retaining learners online. OpenWorldBooks.com; Amazon CreateSpace.
  • Cakir, O., Karademir, T., & Erdogdu, F. (2018). Psychological variables of estimating distance learners' motivation. Turkish Online Journal of Distance Education, 19(1), 163–182. https://doi.org/10.17718/tojde.382795
  • Caskurlu, S. (2018). Confirming the subdimensions of teaching, social, and cognitive presences: A construct validity study. The Internet and Higher Education, 39, 1–12. https://doi.org/10.1016/j.iheduc.2018.05.002
  • Caskurlu, S., Maeda, Y., Richardson, J. C., & Lv, J. (2020). A meta-analysis addressing the relationship between teaching presence and students’ satisfaction and learning. Computers & Education, 157, Article 103966. https://doi.org/10.1016/j.compedu.2020.103966
  • Chen, R. H. (2022). Effects of deliberate practice on blended learning sustainability: a community of inquiry perspective. Sustainability, 14(3), Article 1785. https://doi.org/10.3390/su14031785
  • Chiu, C. M., & Wang, E. T. (2008). Understanding Web-based learning continuance intention: The role of subjective task value. Information & Management, 45(3), 194–201. https://doi.org/10.1016/j.im.2008.02.003
  • Cho, M. H., & Heron, M. L. (2015). Self-regulated learning: the role of motivation, emotion, and use of learning strategies in students’ learning experiences in a self-paced online mathematics course. Distance Education, 36(1), 80–99. https://doi.org/10.1080/01587919.2015.1019963
  • Cole, A., Anderson, C., Bunton, T., Cherney, M., Fisher, V. C., Featherston, M., Motel, L., Nicolini, K., Peck, B., & Allen, M. (2017). Student predisposition to instructor feedback and perceptions of teaching presence predict motivation toward online courses. Online Learning Journal, 21(4), 245–262. https://olj.onlinelearningconsortium.org/index.php/olj/article/view/966 https://doi.org/10.24059/olj.v21i4.966
  • Cui, Y. (2021). Self-efficacy for self-regulated learning and Chinese students’ intention to use online learning in COVID-19: A moderated mediation model. International Journal of Information and Education Technology, 11(11), 532–537. https://doi.org/10.18178/ijiet.2021.11.11.1561
  • Dunlap, J., & Lowenthal, P. (2018). Online educators’ recommendations for teaching online: Crowdsourcing in action. Open Praxis, 10(1), 79–89. https://doi.org/10.5944/openpraxis.10.1.721
  • Eccles, J. (2009). Who am I and what am I going to do with my life? Personal and collective identities as motivators of action. Educational Psychologist, 44(2), 78–89. https://doi.org/10.1080/00461520902832368
  • Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109–132. https://doi.org/10.1146/annurev.psych.53.100901.135153
  • Eccles, J. S., & Wigfield, A. (2020). From expectancy-value theory to situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation. Contemporary Educational Psychology, 61, Article 101859. https://doi.org/10.1016/j.cedpsych.2020.101859
  • Edwards, O. V. (2020). The impact of the social context on value and expectancy beliefs in an online graduate program: The role of social presence. Journal of Computer Assisted Learning, 37(2), 333–345. https://doi.org/10.1111/jcal.12492
  • Esra, M., & Sevilen, Ç. (2021). Factors influencing EFL students’ motivation in online learning: A qualitative case study. Journal of Educational Technology and Online Learning, 4(1), 11–22. https://dergipark.org.tr/en/pub/jetol/issue/60134/817680
  • Fiock, H. (2020). Designing a community of inquiry in online courses. The International Review of Research in Open and Distributed Learning, 21(1), 135–153. https://doi.org/10.19173/irrodl.v20i5.3985
  • Francescato, D., Porcelli, R., Mebane, M., Cuddetta, M., Klobas, J., & Renzi, P. (2006). Evaluation of the efficacy of collaborative learning in face-to-face and computer-supported university contexts. Computers in Human Behavior, 22(2), 163–176. https://doi.org/10.1016/j.chb.2005.03.001
  • Francis, M. K., Wormington, S. V., & Hulleman, C. (2019). The costs of online learning: Examining differences in motivation and academic outcomes in online and face-to-face community college developmental mathematics courses. Frontiers in Psychology, 10, Article 2054. https://doi.org/10.3389/fpsyg.2019.02054
  • Garrison, D. R., Anderson, T., & Archer, W. (1999). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2), 87–105. https://doi.org/10.1016/S1096-7516(00)00016-6
  • Garrison, D. R., Anderson, T., & Archer, W. (2001). Critical thinking, cognitive presence, and computer conferencing in distance education. American Journal of Distance Education, 15(1), 7–23. https://doi.org/10.1080/08923640109527071
  • Gurjar, N. (2019). Embedding social media to enhance social presence: Perceived learning and cognitive engagement in an online graduate course. In K. Graziano (Ed.), Proceedings of the Society for Information Technology & Teacher Education International Conference (pp. 2730–2739). Association for the Advancement of Computing in Education. https://www.learntechlib.org/primary/p/208036/
  • Hartnett, M. (2016). Motivation in online education. Springer.
  • Hartnett, M., St George, A., & Dron, J. (2011). Examining motivation in online distance learning environments: Complex, multifaceted, and situation-dependent. The International Review of Research in Open and Distributed Learning, 12(6), 20–38. https://doi.org/10.19173/irrodl.v12i6.1030
  • Heilporn, G., & Lakhal, S. (2020). Investigating the reliability and validity of the community of inquiry framework: An analysis of categories within each presence. Computers & Education, 145, Article 103712. https://doi.org/10.1016/j.compedu.2019.103712
  • Hersman, B., & Schroeder, N. (2017). Strategies for designing engaging online kinesiology courses based on the community of inquiry model. Quest, 69(4), 480–493. https://doi.org/10.1080/00336297.2017.1295274
  • Holbeck, R., & Hartman, J. (2018). Efficient strategies for maximizing online student satisfaction: Applying technologies to increase cognitive presence, social presence, and teaching presence. Journal of Educators Online, 15(3), 1–5. https://www.thejeo.com/archive/archive/2018_153/holbeck_hartmanpdf https://doi.org/10.9743/jeo.2018.15.3.6
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  • Hulleman, C. S., & Harackiewicz, J. M. (2009). Promoting interest and performance in high school science classes. Science, 326, 1410–1412. https://doi.org/10.1126/science.1177067
  • Hulleman, C. S., Kosovich, J. J., Barron, K. E., & Daniel, D. B. (2017). Making connections: Replicating and extending the utility value intervention in the classroom. Journal of Educational Psychology, 109(3), 387–404. https://doi.org/10.1037/edu0000146
  • Izmirli, S., & Izmirli, O. S. (2019). Social Presence Techniques and Strategies in a Blended Course: Student Satisfaction and Suggestions. Educational Policy Analysis and Strategic Research, 14(4), 201–217. https://doi.org/10.29329/epasr.2019.220.12
  • Joo, Y., Bong, M., & Choi, H. (2000). Self-efficacy for self-regulated learning, academic self-efficacy, and internet self-efficacy in web-based instruction. Educational Technology, Research and Development, 48(2), 5–17. https://doi.org/10.1007/BF02313398
  • Joo, Y. J., Lim, K. Y., & Kim, J. (2013). Locus of control, self-efficacy, and task value as predictors of learning outcome in an online university context. Computers & Education, 62, 149–158. https://doi.org/10.1016/j.compedu.2012.10.027
  • Keller, J. M. (1983). Motivational design of instruction. In C. M. Reigeluth (Ed.), Instructional-design theories and models: An overview of their current status (pp. 383–434). Lawrence Erlbaum.
  • Khalid, M. N., & Quick, D. (2016). teaching presence influencing online students' course satisfaction at an institution of higher education. International Education Studies, 9(3), 62–70. https://doi.org/10.5539/ies.v9n3p62
  • Kim, G. C., & Gurvitch, R. (2020). Online education research adopting the community of inquiry framework: a systematic review. Quest, 72(4), 395–409. https://doi.org/10.1080/00336297.2020.1761843
  • Kim, W. (2015). Learning flow, motivation, and Community of Inquiry in an online graduate degree program [Doctoral dissertation, Purdue University]. Purdue e-Pubs. https://docs.lib.purdue.edu/dissertations/AAI3736267/
  • Lee, C. (2015). Changes in self-efficacy and task value in online learning. Distance Education, 36(1), 59–79. https://doi.org/10.1080/01587919.2015.1019967
  • Li, S., & Zheng, J. (2018). The relationship between self-efficacy and self-regulated learning in one-to-one computing environment: The mediated role of task values. The Asia-Pacific Education Researcher, 27(6), 455–463. https://doi.org/10.1007/s40299-018-0405-2
  • Lim, J., & Richardson, J. C. (2021). Predictive effects of undergraduate students’ perceptions of social, cognitive, and teaching presence on affective learning outcomes according to disciplines. Computers & Education, 161, Article 104063. https://doi.org/10.1016/j.compedu.2020.104063
  • Lin, S., Hung, T. C., & Lee, C. T. (2015). Revalidate forms of presence in training effectiveness: Mediating effect of self-efficacy. Journal of Educational Computing Research, 53(1), 32–54. https://doi.org/10.1177/0735633115588772
  • Lin, Y., Lin, G., & Laffey, J. M. (2008). Building a social and motivational framework for understanding satisfaction in online learning. Journal of Educational Computing Research, 38(1), 1–27. https://doi.org/10.2190/EC.38.1.a
  • Lowenthal, P. R., & Dunlap, J. C. (2018). Investigating students’ perceptions of instructional strategies to establish social presence. Distance Education, 39(3), 281–298. https://doi.org/10.1080/01587919.2018.1476844
  • Martin, F., Wang, C., & Sadaf, A. (2020). Facilitation matters: instructor perception of helpfulness of facilitation strategies in online courses. Online Learning, 24(1), 28–49. https://doi.org/10.24059/olj.v24i1.1980
  • McInerney, D. M., & Van Etten, S. (2004). Big theories revisited. Information Age.
  • McNeish, D., Stapleton, L. M., & Silverman, R. D. (2017). On the unnecessary ubiquity of hierarchical linear modeling. Psychological Methods, 22(1), 114–140. https://doi.org/10.1037/met0000078
  • Muthén, L. K., & Muthén, B. O. (1998-2017). Mplus user’s guide eighth edition. Muthén & Muthén. https://www.statmodel.com/download/usersguide/MplusUserGuideVer_8.pdf
  • Ng, C. (2019). Shifting the focus from motivated learners to motivating distributed environments: A review of 40 years of published motivation research in distance education. Distance Education, 40(4), 469–496. https://doi.org/10.1080/01587919.2019.1681892
  • Perez, T., Cromley, J. G., & Kaplan, A. (2014). The role of identity development, values, and costs in college STEM retention. Journal of Educational Psychology, 106(1), 315–329. https://doi.org/10.1037/a0034027
  • Randi, J., & Corno, L. (2021). Addressing student motivation and learning experiences when taking teaching online. Theory Into Practice. Advance online publication. https://doi.org/10.1080/00405841.2021.1932158
  • Remedios, R., & Richardson, J. T. E. (2013). Achievement goals in adult learners: Evidence from distance education. British Journal of Educational Psychology, 83, 664–685. https://doi.org/10.1111/bjep.12001
  • Richardson, J. C., & Ice, P. (2010). Investigating students' level of critical thinking across instructional strategies in online discussions. The Internet and Higher Education, 13(1), 52–59. https://doi.org/10.1016/j.iheduc.2009.10.009
  • Sadaf, A., & Kim, S. (2019). Examining the impact of online case-based discussions on students’ perceived cognitive presence, learning and satisfaction. In D. G. Sampson, D. Ifenthaler, P. Isaías, & M. L. Mascia (Eds.), Proceedings of the 16th International Conference on Cognition and Exploratory Learning in Digital Age (pp. 421–424). International Association for Development of the Information Society. https://doi.org/10.33965/celda2019_201911c055
  • Sadaf, A., Wu, T., & Martin, F. (2021). Cognitive presence in online learning: A systematic review of empirical research from 2000 to 2019. Computers and Education Open, 2, Article 100050. https://doi.org/10.1016/j.caeo.2021.100050
  • Sansone, C., Smith, J. L., Thoman, D. B., & MacNamara, A. (2012). Regulating interest when learning online: Potential motivation and performance trade-offs. The Internet and Higher Education, 15(3), 141–149. https://doi.org/10.1016/j.iheduc.2011.10.004
  • Seckman, C. (2018). Impact of interactive video communication versus text-based feedback on teaching, social, and cognitive presence in online learning communities. Nurse Educator, 43(1), 18–22. https://doi.org/10.1097/NNE.0000000000000448
  • Shea, P., & Bidjerano, T. (2010). Learning presence: Towards a theory of self-efficacy, self-regulation, and the development of a communities of inquiry in online and blended learning environments. Computers & Education, 55(4), 1721–1731. https://doi.org/10.1016/j.compedu.2010.07.017
  • Shen, D., Cho, M. H., Tsai, C., & Marra, R. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. Internet and Higher Education, 19, 10–17. https://doi.org/10.1016/j.iheduc.2013.04.001
  • Shi, D., DiStefano, C., Maydeu-Olivares, A., & Lee, T. (2021). Evaluating SEM model fit with small degrees of freedom. Multivariate Behavioral Research. Advance online publication. https://doi.org/10.1080/00273171.2020.1868965
  • Turk, M., Heddy, B. C., & Danielson, R. W. (2022). Teaching and social presences supporting basic needs satisfaction in online learning environments: How can presences and basic needs happily meet online? Computers & Education, Article 104432. https://doi.org/10.1016/j.compedu.2022.104432
  • Vanslambrouck, S., Zhu, C., Lombaerts, K., Philipsen, B., & Tondeur, J. (2018). Students’ motivation and subjective task value of participating in online and blended learning environments. The Internet and Higher Education, 36, 33–40. https://doi.org/10.1016/j.iheduc.2017.09.002
  • Vayre, E., & Vonthron, A. M. (2017). Psychological engagement of students in distance and online learning: Effects of self-efficacy and psychosocial processes. Journal of Educational Computing Research, 55(2), 197–218. https://doi.org/10.1177/0735633116656849
  • Wang, C., Shannon, D. M., & Ross, M. E. (2013). Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302–323. https://doi.org/10.1080/01587919.2013.835779
  • Wang, Y. (2022). Effects of teaching presence on learning engagement in online courses. Distance Education, 43(1), 139–156. https://doi.org/10.1080/01587919.2022.2029350
  • Wang, Y., & Stein, D. (2021). Effects of online teaching presence on students’ cognitive conflict and engagement. Distance Education, 42(4), 547–566. https://doi.org/10.1080/01587919.2021.1987837
  • Xie, K. U. I., Debacker, T. K., & Ferguson, C. (2006). Extending the traditional classroom through online discussion: The role of student motivation. Journal of Educational Computing Research, 34(1), 67–89. https://doi.org/10.2190/7BAK-EGAH-3MH1-K7C6
  • Zhang, H., Lin, L., Zhan, Y., & Ren, Y. (2016). The impact of teaching presence on online engagement behaviors. Journal of Educational Computing Research, 54(7), 887–900. https://doi.org/10.1177/0735633116648171
  • Zimmerman, B. J., Bandura, A., & Martinez-Pons, M. (1992). Self-motivation for academic attainment: The role of self-efficacy beliefs and personal goal setting. American Educational Research Journal, 29(3), 663–676. https://doi.org/10.3102/00028312029003663
  • Zimmerman, W. A., & Kulikowich, J. M. (2016). Online learning self-efficacy in students with and without online learning experience. American Journal of Distance Education, 30(3), 180–191. https://doi.org/10.1080/08923647.2016.1193801
  • Zydney, J., deNoyelles, A., Chen, B., & Patton, K. (2021). Enhancing online protocols through design-based research to improve cognitive presence in a large enrolment course. Australasian Journal of Educational Technology, 38(1), 53–6. https://doi.org/10.14742/ajet.5994

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