Clicking with Confidence: Influence of a Student Co-Designed MOOC on Students' Emotions and Online Learning Self-Efficacy
Keywords:Online Learning Self-Efficacy, Emotion, MOOC, Self-Efficacy Beliefs
The COVID-19 pandemic has taught us that being able to learn online is now a crucial life skill and cannot be left to chance. Pedagogical interventions are critical to support students in building their digital skills and confidence, given identified links between online learning readiness and academic success. Based on this premise, the purpose of this study is to investigate the influence of an online learning preparatory MOOC on students’ emotions and levels of online learning self-efficacy (OLSE). The paper begins by illustrating how the design and delivery of the MOOC had the potential to provide participants with the necessary mastery experiences, vicarious experiences, verbal persuasion, and affective regulation opportunities to evaluate and develop their online learning self-efficacy beliefs. Students starting or continuing their higher education online because of COVID-19 were encouraged to take the MOOC as part of their development. Students’ self-reports of their emotion and OLSE were compared pre- and post-MOOC. Paired sample t-tests found significant differences in all four dimensions of OLSE following participation in the MOOC. Participants reported higher levels of Self-Efficacy Navigating Technology, Self-Efficacy Managing Time, Self-Efficacy Learning at a Distance, and Self-Efficacy Communicating Online. Additionally, changes in learners’ emotions were observed post-MOOC. Most participants reported feeling anxious about online learning before the MOOC. This changed, however, post-MOOC, with the majority feeling positive and hopeful about online learning following the two-week course. The paper concludes by discussing the implications for practice.
Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133-148
Alyami, M., Melyani, Z., Al Johani, A., Ullah, E., Alyami, H., Sundram, F., Hill, A., & Hennig, M (2017). The impact of self-esteem, academic self-efficacy and perceived stress on academic performance: A cross-sectional study of Saudi psychology students. European Journal of Educational Sciences, 4(3), 51-63.
Artino Jr, A. R., & Jones II, K. D. (2012). Exploring the complex relations between achievement emotions and self-regulated learning behaviors in online learning. The Internet and Higher Education, 15(3), 170-175.
Artino Jr, A. R., & Stephens, J. M. (2009). Academic motivation and self-regulation: A comparative analysis of undergraduate and graduate students learning online. The Internet and Higher Education, 12(3-4), 146-151.
Artino, A. R. (2008). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of computer assisted learning, 24(3), 260-270.
Bandura, A. (1989). Social cognitive theory. In R. Vasta (Ed.), Annals of child development. Vol. 6. Six theories of child development (pp. 1-60). Greenwich, CT: JAI Press
Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
Bartimote-Aufflick, K., Bridgeman, A., Walker, R., Sharma, M., & Smith, L. (2016). The study, evaluation, and improvement of university student self-efficacy. Studies in Higher Education, 41(11), 1918-1942.
Beirne, E. (2020). What a feeling! A multistage, multimethod investigation of emotions and their antecedents in an Irish Language MOOC (Doctoral dissertation, Dublin City University).
Authors (2022). [Omitted for Blind Review].
Buckley-Marudas, M.F. & Rose, S. (2021). Collaboration, Risk, and Pedagogies of Care: Looking to a Postpandemic Future. The Journal of Interactive Technology and Pedagogy, 19.
Buonomo, I., Fiorilli, C., & Benevene, P. (2019). The impact of emotions and hedonic balance on teachers’ self-efficacy: testing the bouncing back effect of positive emotions. Frontiers in psychology, 10, 1670.
Burić, I., Slišković, A., & Sorić, I. (2020). Teachers’ emotions and self-efficacy: A test of reciprocal relations. Frontiers in Psychology, 11, 1650.
Burke, K., & Larmar, S. (2020). Acknowledging another face in the virtual crowd: Reimagining the online experience in higher education through an online pedagogy of care. Journal of Further and Higher Education, 1-15.
Butz, N. T., Stupnisky, R. H., & Pekrun, R. (2015). Students’ emotions for achievement and technology use in synchronous hybrid graduate programmes: A control-value approach. Research in Learning Technology, 23.
Chemers, M. M., Hu, L. T., & Garcia, B. F. (2001). Academic self-efficacy and first year college student performance and adjustment. Journal of Educational psychology, 93(1), 55.
Chien, H., & Yeh, Y., & Kwok, O. (2022). How online learning readiness can predict online learning emotional states and expected academic outcomes: testing a theoretically based mediation model. Online Learning, 26(4), 193-208.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
D'Mello, S. (2013). A selective meta-analysis on the relative incidence of discrete affective states during learning with technology. Journal of Educational Psychology, 105(4), 1082.
D'Mello, S., Blanchard, N., Baker, R., Ocumpaugh, J., & Brawner, K. (2014). Affect-sensitive instructional strategies. Design Recommendations for Intelligent Tutoring Systems: Volume 2-Instructional Management, 2(35).
Dörnyei, Z. (2009). Individual differences: Interplay of learner characteristics and learning environment. Language learning, 59, 230-248.
Ergul, H. (2004). Relationship between student characteristics and academic achievement in distance education and application on students of Anadolu University. Turkish Online Journal of Distance Education, 5(2).
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
FutureLearn (2018) The pedagogy of FutureLearn: How our learners learn [online]. Available from https://www.futurelearn.com/info/press/research-insights/pedagogy-futurelearn-learners-learn [Accessed 22nd February 2021]
Hodges, C. (2016, April). The development of learner self-efficacy in MOOCs. In Global Learn (pp. 517-522). Association for the Advancement of Computing in Education (AACE).
Holder, B. (2007). An investigation of hope, academics, environment, and motivation as predictors of persistence in higher education online programs. The Internet and higher education, 10(4), 245-260.
Huang, C. (2013). Gender differences in academic self-efficacy: A meta-analysis. European journal of psychology of education, 28(1), 1-35.
Hung, M. L., Chou, C., Chen, C. H., & Own, Z. Y. (2010). Learner readiness for online learning: Scale development and student perceptions. Computers & Education, 55(3), 1080-1090.
Jan, S. K. (2015). The relationships between academic self-efficacy, computer self-efficacy, prior experience, and satisfaction with online learning. American Journal of Distance Education, 29(1), 30-40.
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.
Joosten, T., & Cusatis, R. (2020). Online learning readiness. American Journal of Distance Education, 34(3), 180-193.
Karsten, R., & Roth, R. M. (1998). Computer self-efficacy: A practical indicator of student computer competency in introductory IS courses. Informing Science, 1(3), 61-68.
Katzman, N. F., & Stanton, M. P. (2020). The integration of social emotional learning and cultural education into online distance learning curricula: Now imperative during the COVID-19 pandemic. Creative Education, 11(9), 1561-1571.
Kim, B., & Park, M. J. (2018). Effect of personal factors to use ICTs on e-learning adoption: comparison between learner and instructor in developing countries. Information Technology for Development, 24(4), 706-732.
Kreth, Q., Spirou, M. E., Budenstein, S., & Melkers, J. (2019). How prior experience and self-efficacy shape graduate student perceptions of an online learning environment in computing. Computer Science Education, 29(4), 357-381.
Latchem, C. (2015) Gender issues in online learning. In Jung, I., & Gunawardena, C. N. (Eds.). (2015). Culture and online learning: Global perspectives and research. Stylus Publishing, LLC
Lee, Y., Choi, J., & Kim, T. (2013). Discriminating factors between completers of and dropouts from online learning courses. British Journal of Educational Technology, 44(2), 328-337.
Lehman, B., D'Mello, S., & Graesser, A. (2012). Confusion and complex learning during interactions with computer learning environments. The Internet and Higher Education, 15(3), 184-194.
Macaskill, A., & Denovan, A. (2013). Developing autonomous learning in first year university students using perspectives from positive psychology. Studies in Higher Education, 38(1), 124-142.
Martin, K. (2005). Self-efficacy as an evaluation measure for programs in support of online learning literacies for undergraduates. The Internet and higher education, 8(4), 307-322.
Mega, C., Ronconi, L., & De Beni, R. (2014). What makes a good student? How emotions, self-regulated learning, and motivation contribute to academic achievement. Journal of educational psychology, 106(1), 121.
Milligan, C., & Littlejohn, A. (2014). Supporting professional learning in a massive open online course. International Review of Research in Open and Distributed Learning, 15(5), 197-213.
Novara, C., Guazzini, A., Cardinali, P., Arcidiacono, C., Agueli, B., De Piccoli, N., ... & Esposito, C. (2022). Distance Learning during the COVID-19 Pandemic: Resources, Obstacles, and Emotional Implications for Italian Students in Higher Education. World Futures, 1-18.
OECD 2019. OECD Future of Education and Skills 2030. Available at: http://www.oecd.org/education/2030-project/ [Accessed 22nd February 2021]
Pajares, F. (1997). Current directions in self-efficacy research. Advances in motivation and achievement, 10(149), 1-49.
Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational psychology review, 18(4), 315-341.
Pekrun, R., & Perry, R. P. (2014) 'Control-value theory of achievement emotions' in Pekrun, R. and Linnenbrink-Garcia, L. (eds.) International handbook of emotions in education. New York, NY, US: Routledge/Taylor & Francis Group, pp. 120-141.
Pekrun, R., & Perry, R. P. (2014). Control-value theory of achievement emotions. In International handbook of emotions in education (pp. 130-151). Routledge.
Pekrun, R., Goetz, T., Frenzel, A. C., Barchfeld, P., & Perry, R. P. (2011). Measuring emotions in students’ learning and performance: The Achievement Emotions Questionnaire (AEQ). Contemporary educational psychology, 36(1), 36-48.
Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002). Academic emotions in students' self-regulated learning and achievement: A program of qualitative and quantitative research. Educational psychologist, 37(2), 91-105.
Pellas, N. (2014). The influence of computer self-efficacy, metacognitive self-regulation and self-esteem on student engagement in online learning programs: Evidence from the virtual world of Second Life. Computers in Human Behavior, 35, 157-170.
Perkowski, J. (2013). The role of gender in distance learning: A meta-analytic review of gender differences in academic performance and self-efficacy in distance learning. Journal of Educational Technology Systems, 41(3), 267-278.
Prior, D. D., Mazanov, J., Meacheam, D., Heaslip, G., & Hanson, J. (2016). Attitude, digital literacy and self efficacy: Flow-on effects for online learning behavior. The Internet and Higher Education, 29, 91-97.
Putwain, D., Sander, P., & Larkin, D. (2013). Academic self‐efficacy in study‐related skills and behaviours: Relations with learning‐related emotions and academic success. British Journal of Educational Psychology, 83(4), 633-650.
Raccanello, D., Balbontín-Alvarado, R., da Silva Bezerra, D., Burro, R., Cheraghi, M., Dobrowolska, B., ... & Aristovnik, A. (2022). Higher education students’ achievement emotions and their antecedents in e-learning amid COVID-19 pandemic: A multi-country survey. Learning and Instruction, 101629.
Rodriguez, B. P., & Armellini, A. (2017). Developing self-efficacy through a massive open online course on study skills. Open Praxis, 9(3), 335-343.
Rowe, A. D., & Fitness, J. (2018). Understanding the role of negative emotions in adult learning and achievement: A social functional perspective. Behavioral sciences, 8(2), 27.
Sala, A., Punie, Y., Garkov, V., & Cabrera Giraldez, M. 2020. LifeComp: The European Framework for Personal, Social and Learning to Learn Key Competence, EUR 30246 EN, Publications Office of the European Union.
Schutz, P.A., Hong, J.Y., Cross, D.I., & Osbon, J.N. (2006). 'Reflections on investigating emotion in educational activity settings', Educational Psychology Review, 18(4), pp. 343-360
Shen, D., Cho, M. H., Tsai, C. L., & Marra, R. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. The Internet and Higher Education, 19, 10-17.
Stephen, J. S., Rockinson-Szapkiw, A. J., & Dubay, C. (2020). Persistence model of non-traditional online learners: Self-efficacy, self-regulation, and self-direction. American Journal of Distance Education, 34(4), 306-321.
Tan, J., Mao, J., Jiang, Y., & Gao, M. (2021). The Influence of Academic Emotions on Learning Effects: A Systematic Review. International Journal of Environmental Research and Public Health, 18(18), 9678.
Terras, M. M., & Ramsay, J. (2015). Massive open online courses (MOOCs): Insights and challenges from a psychological perspective. British Journal of Educational Technology, 46(3), 472-487.
Wernersbach, B. M., Crowley, S. L., Bates, S. C., & Rosenthal, C. (2014). Study skills course impact on academic self-efficacy. Journal of Developmental Education, 14-33.
Wright, V. H., Sunal, C. S., & Wilson, E. K. (2006). Research on enhancing the interactivity of online learning. Greenwich, CT: Information Age Publishing Inc.
Yu, T. (2018). Examining Construct Validity of the Student Online Learning Readiness (SOLR) Instrument Using Confirmatory Factor Analysis. Online learning, 22(4), 277-288.
Yu, Z. (2021). The effects of gender, educational level, and personality on online learning outcomes during the COVID-19 pandemic. International Journal of Educational Technology in Higher Education, 18(1), 1-17.
Yukselturk, E., Ozekes, S., & Turel, Y. K. (2014). Predicting dropout student: An application of data mining methods in an online education program. European Journal of Open, Distance and e-learning, 17(1), 118-133.
Zembylas, M. (2021). The affective turn in educational theory. In Oxford Research Encyclopedia of Education. Retrieved 29 Nov. 2022, from https://oxfordre.com/education/view/10.1093/acrefore/9780190264093.001.0001/acrefore-9780190264093-e-1272.
Zimmerman, B. J. (2000). Self-efficacy: An essential motive to learn. Contemporary educational psychology, 25(1), 82-91.
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.
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