Abstract
Certain affective states are less conducive to learning than others. Moreover, results from studies suggest that a classroom’s social-emotional climate affects student motivation and performance; and that moods can be automatically transferred among individuals in a group. The ClassMood App is an online classroom orchestration tool for social emotional learning that identifies the aggregate mood of a class and suggests classroom activities for educators to help shift the class mood to one that is more conducive to learning. Suggested activities are categorized based on how they aim to impact students’ internal state of arousal. The application aims to facilitate learner and educator development of self-awareness and self-management competencies consistent with the CASEL framework for systemic social and emotional learning. Preliminary results, conducted as part of an iterative designed-based research process, suggest that the tool is perceived as being easy-to-use for both educators and undergraduate students.
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References
Mega, C., Ronconi, L., De Beni, R.: What makes a good student? How emotions, self-regulated learning, and motivation contribute to academic achievement. J. Educ. Psychol. 106(1), 121 (2014)
Pardos, Z.A., Baker, R.S., San Pedro, M.O., Gowda, S.M., Gowda, S.M.: Affective states and state tests: investigating how affect and engagement during the school year predict end-of-year learning outcomes. J. Learn. Anal. 1(1), 107–128 (2014)
Brackett, M.A., Reyes, M.R., Rivers, S.E., Elbertson, N.A., Salovey, P.: Classroom emotional climate, teacher affiliation, and student conduct. J. Classr. Interact. 46, 27–36 (2011)
Reyes, M.R., Brackett, M.A., Rivers, S.E., White, M., Salovey, P.: Classroom emotional climate, student engagement, and academic achievement. J. Educ. Psychol. 104(3), 700 (2012)
Barsade, S.G.: The ripple effect: emotional contagion and its influence on group behavior. Adm. Sci. Q. 47(4), 644–675 (2002)
Cho, H., Ryu, S., Noh, J., Lee, J.: The effectiveness of daily mindful breathing practices on test anxiety of students. PLoS One 11(10), e0164822 (2016)
Zins, J.E., Bloodworth, M.R., Weissberg, R.P., Walberg, H.J.: The scientific base linking social and emotional learning to school success. J. Educ. Psychol. Consult. 17(2–3), 191–210 (2007)
Weissberg, R.P., Durlak, J.A., Domitrovich, C.E., Gullotta, T.P.: Social and emotional learning: past, present, and future. In: Durlak, J.A., Domitrovich, C.E., Weissberg, R.P., Gullotta, T.P. (eds.) Handbook of Social and Emotional Learning: Research and Practice, pp. 3–19. Guilford Press, New York (2015)
Durlak, J.A., Weissberg, R.P., Dymnicki, A.B., Taylor, R.D., Schellinger, K.B.: The impact of enhancing students’ social and emotional learning: a meta-analysis of school-based universal interventions. Child Dev. 82(1), 405–432 (2011)
Nathanson, L., Rivers, S.E., Flynn, L.M., Brackett, M.A.: Creating emotionally intelligent schools with RULER. Emot. Rev. 8(4), 305–310 (2016)
Dillenbourg, P.: Design for classroom orchestration. Comput. Educ. 69, 485–492 (2013)
van Leeuwen, A., Rummel, N.: Orchestration tools to support the teacher during student collaboration: a review. Unterrichtswissenschaft 47, 143–158 (2019). https://doi.org/10.1007/s42010-019-00052-9
Russell, J.A., Peterson, B.S.: The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Dev. Psychopathol. 17(3), 715–734 (2005)
Plutchik, R.: The nature of emotions: human emotions have deep evolutionary roots, a fact that may explain their complexity and provide tools for clinical practice. Am. Sci. 89(4), 344–350 (2001)
Jacobson, E.: Progressive Relaxation. University of Chicago Press, Chicago (1938)
Acknowledgements
This work has been co-funded by the European Union, Project Number 2018-1-ES01-KA201-050646 (Spotlighters) under the Erasmus + programme; and partially supported by FEDER, the National Research Agency of the Spanish Ministry of Science MDM-2015-0502, TIN2014-53199-C3-3-R, TIN2017-85179-C3-3-R. DHL is a Serra Húnter Fellow. Note: The material in this paper reflects only the authors’ views and the European Commission cannot be held responsible for any use that may be made of the information it contains. The authors want to thank Pablo Abenia for the technical implementation of the application, and Minna Huotilainen for her advice regarding the student graphical interface.
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Beardsley, M., Vujovic, M., Portero-Tresserra, M., Hernández-Leo, D. (2019). ClassMood App: A Classroom Orchestration Tool for Identifying and Influencing Student Moods. In: Scheffel, M., Broisin, J., Pammer-Schindler, V., Ioannou, A., Schneider, J. (eds) Transforming Learning with Meaningful Technologies. EC-TEL 2019. Lecture Notes in Computer Science(), vol 11722. Springer, Cham. https://doi.org/10.1007/978-3-030-29736-7_75
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