The Influence of Presence Types on Learning Engagement in a MOOC: The Role of Autonomous Motivation and Grit

References

• Veletsianos G, Collier A, Schneider E. Digging deeper into learners’ experiences in MOOCs: participation in social networks outside of MOOCs, notetaking and contexts surrounding content consumption. Br J Educ Technol. 2015;46(3):570–587. doi:10.1111/bjet.12297
   Web of Science ®Google Scholar
• Richardson JC, Newby T. The role of students’ cognitive engagement in online learning. Am J Dist Educ. 2018;20(1):23–37. doi:10.1207/s15389286ajde2001_3
   Google Scholar
• Ma J, Han X, Yang J, Cheng J. Examining the necessary condition for engagement in an online learning environment based on learning analytics approach: the role of the instructor. Int Higher Educ. 2015;24:26–34. doi:10.1016/j.iheduc.2014.09.005
   Web of Science ®Google Scholar
• Deng R, Benckendorff P, Gannaway D. Progress and new directions for teaching and learning in MOOCs. Comput Educ. 2019;129:48–60. doi:10.1016/j.compedu.2018.10.019
   Web of Science ®Google Scholar
• Kala D, Chaubey DS. Examination of relationships among technology acceptance, student engagement, and perceived learning on tourism-related MOOCs. J Teach Travel Tour. 2022;23(1):39–56. doi:10.1080/15313220.2022.2038342
   Web of Science ®Google Scholar
• Breslow L, Pritchard DE, Deboer J, Stump GS, Ho AD, Seaton DT. Studying learning in the worldwide classroom research into edx’s first MOOC. Res Pract Assess. 2013;8:13–25.
   Google Scholar
• Kizilgunes B, Tekkaya C, Sungur S. Modeling the relations among students’ epistemological beliefs, motivation, learning approach, and achievement. J Educ Res. 2009;102(4):243–256. doi:10.3200/JOER.102.4.243-256
   Web of Science ®Google Scholar
• Shea P, Bidjerano T. Community of inquiry as a theoretical framework to foster “epistemic engagement” and “cognitive presence” in online education. Comput Educ. 2009;52(3):543–553. doi:10.1016/j.compedu.2008.10.007
   Web of Science ®Google Scholar
• Hollands FM, Tirthali D. Resource requirements and costs of developing and delivering MOOCs. Int Rev Res Open Distributed Learn. 2014;15(5). doi:10.19173/irrodl.v15i5.1901
   Google Scholar
• Jordan K. Initial trends in enrolment and completion of massive open online courses. Int Rev Res Open Distributed Learn. 2014;15(1). doi:10.19173/irrodl.v15i1.1651
   Web of Science ®Google Scholar
• Allen RE, Kannangara C, Carson J. True grit: how important is the concept of grit for education? A narrative literature review. Int J Educ Psychol. 2021;10(1):73. doi:10.17583/ijep.2021.4578
   Web of Science ®Google Scholar
• Quesada-Pallarès C, González-ortiz-de-zárate A, Pineda-Herrero P, Cascallar E. Intention to transfer and transfer following eLearning in Spain. Vocat Learn. 2022;15(2):359–385. doi:10.1007/s12186-022-09292-w
   PubMed Web of Science ®Google Scholar
• Datu JAD, Yuen M, Chen G. Development and validation of the Triarchic Model of Grit Scale (TMGS): evidence from Filipino undergraduate students. Pers Individ Dif. 2017;114:198–205. doi:10.1016/j.paid.2017.04.012
   Web of Science ®Google Scholar
• Muenks K, Wigfield A, Yang JS, O’Neal CR. How true is grit? Assessing its relations to high school and college students’ personality characteristics, self-regulation, engagement, and achievement. J Educ Psychol. 2017;109(5):599–620. doi:10.1037/edu0000153
   Web of Science ®Google Scholar
• Pennings HJM, van Tartwijk J, Wubbels T, Claessens LCA, van der Want AC, Brekelmans M. Real-time teacher–student interactions: a dynamic systems approach. Teaching Teacher Educ. 2014;37:183–193. doi:10.1016/j.tate.2013.07.016
   Web of Science ®Google Scholar
• Hew KF, Cheung WS. Students’ and instructors’ use of massive open online courses (MOOCs): motivations and challenges. Educ Res Rev. 2014;12:45–58. doi:10.1016/j.edurev.2014.05.001
   Web of Science ®Google Scholar
• Xiong Y, Li H, Kornhaber ML, Suen HK, Pursel BK, Goins DD. Examining the relations among student motivation, engagement, and retention in a MOOC: a structural equation modeling approach. Global Educ Rev. 2015;2(3):23–33.
   Google Scholar
• Wang Y, Baker R. Grit and intention: why do learners complete MOOCs? Int Rev Res Open Distributed Learn. 2018;19(3). doi:10.19173/irrodl.v19i3.3393
   Web of Science ®Google Scholar
• Duckworth AL, Quinn PD. Development and Validation of the Short Grit Scale (Grit–S). J Person Assess. 2009;91(2):166–174. doi:10.1080/00223890802634290
   PubMed Web of Science ®Google Scholar
• Cupitt C, Golshan N. Participation in Higher Education Online: Demographics, Motivators, and Grit. Perth, Australia: National Centre for Student Equity in Higher Education, Curtin University; 2014.
   Google Scholar
• Garrison R, Cleveland-Innes M, Fung T. Student role adjustment in online communities of inquiry: model and instrument validation. Online Learn. 2019;8(2). doi:10.24059/olj.v8i2.1828
   Google Scholar
• Garrison DR, Anderson T, Archer W. The first decade of the community of inquiry framework: a retrospective. Int Higher Educ. 2010;13(1–2):5–9. doi:10.1016/j.iheduc.2009.10.003
   Web of Science ®Google Scholar
• Garrison DR, Akyol Z. The community of inquiry theoretical framework. In: Handbook of Distance Education. Routledge; 2013:3.
   Google Scholar
• Caskurlu S, Maeda Y, Richardson JC, Lv J. A meta-analysis addressing the relationship between teaching presence and students’ satisfaction and learning. Comput Educ. 2020;157:103966. doi:10.1016/j.compedu.2020.103966
   Web of Science ®Google Scholar
• Swan K, Ice P. The community of inquiry framework ten years later: introduction to the special issue. Int Higher Educ. 2010;13(1–2):1–4. doi:10.1016/j.iheduc.2009.11.003
   Web of Science ®Google Scholar
• Garrison DR, Akyol Z. Toward the development of a metacognition construct for communities of inquiry. Int Higher Educ. 2013;17:84–89. doi:10.1016/j.iheduc.2012.11.005
   Web of Science ®Google Scholar
• Garrison DR, Anderson T, Archer W. Critical thinking, cognitive presence, and computer conferencing in distance education. Am J Dist Educ. 2001;15(1):7–23. doi:10.1080/08923640109527071
   Google Scholar
• Rourke L, Anderson T, Garrison DR, Archer W. Assessing social presence in asynchronous, text-based computer conferencing. J Distance Educ. 1999;14(2):50–71.
   Google Scholar
• Anderson T, Rourke L, Garrison R, Archer W. Assessing teaching presence in a computer conferencing context. Online Learn. 2019;5(2). doi:10.24059/olj.v5i2.1875
   Google Scholar
• Kozan K, Richardson JC. New exploratory and confirmatory factor analysis insights into the community of inquiry survey. Int Higher Educ. 2014;23:39–47. doi:10.1016/j.iheduc.2014.06.002
   Web of Science ®Google Scholar
• Zhao H, Sullivan KPH. Teaching presence in computer conferencing learning environments: effects on interaction, cognition and learning uptake. Br J Educ Technol. 2015;48(2):538–551. doi:10.1111/bjet.12383
   Web of Science ®Google Scholar
• Jung Y, Lee J. Learning engagement and persistence in Massive Open Online Courses (MOOCS). Comput Educ. 2018;122:9–22. doi:10.1016/j.compedu.2018.02.013
   Web of Science ®Google Scholar
• Sha JR, Kan ZC, Li W. An empirical research on the improvement of college students’ school engagement by teachers’ support strategies in Blended Learning Environment. China Educ Technol. 2020;08:127–133.
   Google Scholar
• Lu J, Churchill D. The effect of social interaction on learning engagement in a social networking environment. Interact Learn Environ. 2012;22(4):401–417. doi:10.1080/10494820.2012.680966
   Web of Science ®Google Scholar
• Kuo Y-C, Walker AE, Schroder KEE, Belland BR. Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. Int Higher Educ. 2014;20:35–50. doi:10.1016/j.iheduc.2013.10.001
   Web of Science ®Google Scholar
• Domagk S, Schwartz RN, Plass JL. Interactivity in multimedia learning: an integrated model. Comput Human Behav. 2010;26(5):1024–1033. doi:10.1016/j.chb.2010.03.003
   Web of Science ®Google Scholar
• Wu XE, Chen XH. Research status, hot topics and development trends of international online presence research. China Educ Technol. 2018;02:37–45.
   Google Scholar
• Sheldon KM, Elliot AJ. Goal striving, need satisfaction, and longitudinal well-being: the self-concordance model. J Person Soc Psychol. 1999;76(3):482–497. doi:10.1037/0022-3514.76.3.482
   PubMed Web of Science ®Google Scholar
• Deci EL, Eghrari H, Patrick BC, Leone DR. Facilitating internalization: the self-determination theory perspective. J Person. 1994;62(1):119–142. doi:10.1111/j.1467-6494.1994.tb00797.x
   PubMed Web of Science ®Google Scholar
• Levesque C, Zuehlke AN, Stanek LR, Ryan RM. Autonomy and competence in German and American University Students: a comparative study based on self-determination theory. J Educ Psychol. 2004;96(1):68–84. doi:10.1037/0022-0663.96.1.68
   Web of Science ®Google Scholar
• Soenens B, Vansteenkiste M. Antecedents and outcomes of self-determination in 3 life domains: the role of parents’ and teachers’ autonomy support. J Youth Adolesc. 2005;34(6):589–604. doi:10.1007/s10964-005-8948-y
   Web of Science ®Google Scholar
• Vansteenkiste M, Simons J, Lens W, Soenens B, Matos L. Examining the motivational impact of intrinsic versus extrinsic goal framing and autonomy-supportive versus internally controlling communication style on early adolescents’ academic achievement. Child Dev. 2005;76(2):483–501. doi:10.1111/j.1467-8624.2005.00858.x
   PubMed Web of Science ®Google Scholar
• Reeve J. How students create motivationally supportive learning environments for themselves: the concept of agentic engagement. J Educ Psychol. 2013;105(3):579–595. doi:10.1037/a0032690
   Web of Science ®Google Scholar
• Mouratidis A, Michou A, Aelterman N, Haerens L, Vansteenkiste M. Begin-of-school-year perceived autonomy-support and structure as predictors of end-of-school-year study efforts and procrastination: the mediating role of autonomous and controlled motivation. Educ Psychol. 2017;38(4):435–450. doi:10.1080/01443410.2017.1402863
   Web of Science ®Google Scholar
• Saeed S, Zyngier D. How motivation influences student engagement: a qualitative case study. J Educ Learn. 2012;1(2). doi:10.5539/jel.v1n2p252
   Google Scholar
• Samuel A. Adding some TEC-VARIETY: 100+ activities for motivating and retaining learners online by Curtis J. Bonk and Elaine Khoo. Am J Dist Educ. 2015;29(2):150–152. doi:10.1080/08923647.2015.1023593
   Web of Science ®Google Scholar
• Mazzolini M, Maddison S. When to jump in: the role of the instructor in online discussion forums. Comput Educ. 2007;49(2):193–213. doi:10.1016/j.compedu.2005.06.011
   Web of Science ®Google Scholar
• Hostetter C, Busch M. Measuring up online: the relationship between social presence and student learning satisfaction. J Scholarship Teach Learn. 2006;6(2):1–12.
   Google Scholar
• Boston W, Díaz SR, Gibson AM, Ice P, Richardson J, Swan K. An exploration of the relationship between indicators of the community of inquiry framework and retention in online programs. Online Learn. 2019;14(1). doi:10.24059/olj.v14i1.1636
   Google Scholar
• Leite LO, Go W, Havu-Nuutinen S. Exploring the learning process of experienced teachers focused on building positive interactions with pupils. Scand J Educ Res. 2020;66(1):28–42. doi:10.1080/00313831.2020.1833237
   Web of Science ®Google Scholar
• Ross J, Bayne SE. Spotlight issue: digital education at the University of Edinburgh. In: TechTrends. Vol. 59. Springer; 2015:1.
   Google Scholar
• Duckworth AL, Peterson C, Matthews MD, Kelly DR. Grit: perseverance and passion for long-term goals. J Person Soc Psychol. 2007;92(6):1087–1101. doi:10.1037/0022-3514.92.6.1087
   PubMed Web of Science ®Google Scholar
• Lee S, Sohn YW. Effects of grit on academic achievement and career-related attitudes of college students in Korea. Soc Behav Person. 2017;45(10):1629–1642. doi:10.2224/sbp.6400
   Web of Science ®Google Scholar
• Oriol X, Miranda R, Bazán C, Benavente E. Distinct routes to understand the relationship between dispositional optimism and life satisfaction: self-control and grit, positive affect, gratitude, and meaning in life. Front Psychol. 2020;11. doi:10.3389/fpsyg.2020.00907
   Web of Science ®Google Scholar
• Allen IE, Seaman J. Grade Level: Tracking Online Education in the United States. Boston, MA: Sloan Consortium, Babson Survey Research Group; 2015.
   Google Scholar
• Zimmerman BJ, Schunk DH. Self-Regulated Learning and Performance: An Introduction and an Overview. Routledge/Taylor & Francis Group; 2011.
   Google Scholar
• Singh K, Jha SD. Positive and negative affect, and grit as predictors of happiness and life satisfaction. J Indian Acad Appl Psychol. 2008;34:40–45.
   Google Scholar
• Aparicio M, Bacao F, Oliveira T. Grit in the path to e-learning success. Comput Human Behav. 2017;66:388–399. doi:10.1016/j.chb.2016.10.009
   Web of Science ®Google Scholar
• Chi MTH, Adams J, Bogusch EB, et al. Translating the ICAP Theory of Cognitive Engagement Into Practice. Cognit Sci. 2018;42(6):1777–1832. doi:10.1111/cogs.12626
   Web of Science ®Google Scholar
• Deng R, Benckendorff P, Gannaway D. Linking learner factors, teaching context, and engagement patterns with MOOC learning outcomes. J Comput Assist Learn. 2020;36(5):688–708. doi:10.1111/jcal.12437
   Web of Science ®Google Scholar
• Arbaugh JB, Cleveland-Innes M, Diaz SR, et al. Developing a community of inquiry instrument: testing a measure of the Community of Inquiry framework using a multi-institutional sample. Int Higher Educ. 2008;11(3–4):133–136. doi:10.1016/j.iheduc.2008.06.003
   Web of Science ®Google Scholar
• Ryan RM, Connell JP. Perceived locus of causality and internalization: examining reasons for acting in two domains. J Person Soc Psychol. 1989;57(5):749–761. doi:10.1037/0022-3514.57.5.749
   PubMed Web of Science ®Google Scholar
• Schaufeli WB, Martínez IM, Pinto AM, Salanova M, Bakker AB. Burnout and Engagement in University Students. J Cross Cult Psychol. 2016;33(5):464–481. doi:10.1177/0022022102033005003
   Google Scholar
• Fang LT, Shi K, Zhang FH. Research on reliability and validity of Utrecht Work Engagement Scale-student. Chin J Clin Psychol. 2008;16(6):618–620.
   Google Scholar
• Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Market Res. 1981;18(1):39–50. doi:10.1177/002224378101800104
   Web of Science ®Google Scholar
• Pituch KA, Stapleton LM. The performance of methods to test upper-level mediation in the presence of nonnormal data. Multivar Behav Res. 2008;43(2):237–267. doi:10.1080/00273170802034844
   PubMed Web of Science ®Google Scholar
• Hung M-L, Chou C. Students’ perceptions of instructors’ roles in blended and online learning environments: a comparative study. Comput Educ. 2015;81:315–325. doi:10.1016/j.compedu.2014.10.022
   Web of Science ®Google Scholar
• Vaughan N. Technology in support of faculty learning communities. New Direct Teach Learn. 2004;2004(97):101–109. doi:10.1002/tl.137
   Google Scholar
• Lim J, Richardson JC. Predictive effects of undergraduate students’ perceptions of social, cognitive, and teaching presence on affective learning outcomes according to disciplines. Comput Educ. 2021;161:104063.
   Web of Science ®Google Scholar
• Grieve R, Padgett CR, Moffitt RL. Assignments 2.0: the role of social presence and computer attitudes in student preferences for online versus offline marking. Int Higher Educ. 2016;28:8–16. doi:10.1016/j.iheduc.2015.08.002
   Web of Science ®Google Scholar
• Wilson KE, Martinez M, Mills C, D’Mello S, Smilek D, Risko EF. Instructor presence effect: liking does not always lead to learning. Comput Educ. 2018;122:205–220. doi:10.1016/j.compedu.2018.03.011
   Web of Science ®Google Scholar
• Froiland JM, Davison ML, Worrell FC. Aloha teachers: teacher autonomy support promotes Native Hawaiian and Pacific Islander students’ motivation, school belonging, course-taking and math achievement. Soc Psychol Educ. 2016;19(4):879–894. doi:10.1007/s11218-016-9355-9
   Web of Science ®Google Scholar
• Thomas AE, Mueller FH. A magic dwells in each beginning? Contextual effects of autonomy support on students’ intrinsic motivation in unfamiliar situations. Soc Psychol Educ. 2017;20(4):791–805. doi:10.1007/s11218-017-9393-y
   Web of Science ®Google Scholar
• Shiue Y-M, Hsu Y-C. Exploring the influence of using collaborative tools on the community of inquiry in an interdisciplinary project-based learning context. EURASIA J Math Sci Technol Educ. 2017;14(3). doi:10.12973/ejmste/81149
   Web of Science ®Google Scholar
• Stantchev V, Colomo-Palacios R, Soto-Acosta P, Misra S. Learning management systems and cloud file hosting services: a study on students’ acceptance. Comput Human Behav. 2014;31:612–619. doi:10.1016/j.chb.2013.07.002
   Web of Science ®Google Scholar
• Sheldon KM, Abad N, Ferguson Y, et al. Persistent pursuit of need-satisfying goals leads to increased happiness: a 6-month experimental longitudinal study. Motivation Emotion. 2009;34(1):39–48. doi:10.1007/s11031-009-9153-1
   Web of Science ®Google Scholar
• Lavigne GL, Vallerand RJ, Miquelon P. A motivational model of persistence in science education: a self-determination theory approach. Eur J Psychol Educ. 2007;22(3):351–369. doi:10.1007/BF03173432
   Web of Science ®Google Scholar