Abstract
Studies have shown discourse constructs of affiliation and emotion to be critical factors influencing learning performance and outcomes in both traditional environments and Massive Open Online Courses (MOOCs). However, there is limited research investigating the affiliation and emotions of MOOC learners and how these factors develop over time. To gain a deeper understanding of the MOOC population and to facilitate MOOC environment design, we addressed this gap by conducting a longitudinal analysis of change of affiliation and emotions presented in discussion forums of five Coursera courses. They have been offered numerous times from 2012 to 2015. We demonstrate that discussion forums have reflected decreasing affiliation and increasing negative emotions over the four years for most courses, with no significant overall change in positive emotions.
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References
Libbey, H.P.: Measuring student relationships to school: attachment, bonding, connectedness, and engagement. J. Sch. Health 74(7), 274–283 (2004)
Weiss, C.L.A., Cunningham, D.L., Lewis, C.P., Clark, M.G.: Enhancing student connectedness to schools. Center for School Mental Health Analysis and Action. Department of Psychiatry, University of Maryland School of Medicine, Baltimore (2005)
Centers for Disease Control and Prevention.: School connectedness: Strategies for increasing protective factors among youth. Department of Health and Human Services, Atlanta (2009)
Goodenow, C.: Classroom belonging among early adolescent students: relationships to motivation and achievement. J. Early Adolesc. 13(1), 21–43 (1993)
Danielsen, A.G., Wiium, N., Wilhelmsen, B.U., Wold, B.: Perceived support provided by teachers and classmates and students’ self-reported academic initiative. J. Sch. Psychol. 48(3), 247–267 (2010)
Zhu, M., Bergner, Y., Zhang, Y., Baker, R., Wang, Y., Paquette, L.: Longitudinal engagement, performance, and social connectivity: a MOOC case study using exponential random graph models. In: Proceedings of the Sixth International Conference on Learning Analytics and Knowledge, pp. 223–230. ACM, New York (2016)
Anderman, E.M.: School effects on psychological outcomes during adolescence. J. Educ. Psychol. 94(4), 795–809 (2002)
Angelaki, C., Mavroidis, I.: Communication and social presence: the impact on adult learners’ emotions in distance learning. Eur. J. Open Distance E-learn. 16(1), 78–93 (2013)
Um, E.R., Plass, J.L., Hayward, E.O., Homer, B.D.: Emotional design in multimedia learning. J. Educ. Psychol. 104(2), 485–498 (2012)
Marchand, G.C., Gutierrez, A.P.: The role of emotion in the learning process: comparisons between online and face-to-face learning settings. Internet High. Educ. 15(3), 150–160 (2012)
Vogel, S., Schwabe, L.: Learning and memory under stress: implications for the classroom. Npj Sci. Learn. 1, 16011 (2016)
D’Mello, S., Lehman, B., Pekrun, R., Graesser: A confusion can be beneficial for learning. Learn. Instr. 29, 153–170 (2014). (Supplement C)
Pennebaker, J.W., Boyd, R.L., Jordan, K., Blackburn, K.: The development and psychometric properties of LIWC2015. University of Texas at Austin, Austin (2015)
Nakagawa, S., Schielzeth, H.: A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods Ecol. Evol. 4(2), 133–142 (2013). https://doi.org/10.1111/j.2041-210x.2012.00261.x
Cheng, J.C.: An exploratory study of emotional affordance of a massive open online course. Eur. J. Open Distance E-learn. 17(1), 43–55 (2014)
Wise, A.F., Cui, Y., Vytasek, J.: Bringing order to chaos in MOOC discussion forums with content-related thread identification. In: Proceedings of the Sixth International Conference on Learning Analytics and Knowledge, pp. 188–197. ACM, New York (2016)
Dowell, N.M., Nixon, T., Graesser, A.C.: Group communication analysis: a computational linguistics approach for detecting sociocognitive roles in multi-party interactions. Behavior Research Methods (2018). https://arxiv.org/abs/1801.03563
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Hu, J., Dowell, N., Brooks, C., Yan, W. (2018). Temporal Changes in Affiliation and Emotion in MOOC Discussion Forum Discourse. In: Penstein Rosé, C., et al. Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science(), vol 10948. Springer, Cham. https://doi.org/10.1007/978-3-319-93846-2_26
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DOI: https://doi.org/10.1007/978-3-319-93846-2_26
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