Abstract
Socio-emotional interaction is considered a crucial factor that may affect the effectiveness and efficiency of collaborative argumentation and deserves further exploration. This study explored what temporal and sequential patterns of socio-emotional interaction could promote or hinder productive collaborative argumentation by comparing the differences between four high- and four low-performing groups. The 8 target groups were selected from a larger sample of 14 groups according to their scores of groups’ argument maps after participating in a 90-min collaborative argumentation activity. Using content analysis method, groups’ video recordings were coded and analyzed. The results indicated several differences between the high- and low-performing groups. First, more positive socio-emotional interactions were found in the high-performing groups while more negative socio-emotional interactions were discovered in the low-performing groups. Second, using smiles or laughter to express disagreement (P2) and interrupting others (N1) were more essential factors that may affect argumentation quality in the Chinese context. Third, temporal analysis suggested that in low-performing groups, the sharp rise in negative socio-emotional interactions may be provoked by more cognitive interactions in the initial phase that aimed to persuade opponents. Fourth, sequential analysis showed that repeated negative interactions in low-performing groups may lead to a negative atmosphere and thus, made the increasing tension less likely to be relieved by positive interactions. Whereas in high-performing groups, frequent transitions between positive socio-emotional interactions helped create a positive atmosphere, which could avoid conflict escalation and resolve the potential tension caused by negative interactions. Finally, pedagogical implications were suggested.







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References
Andriessen, J., Baker, M. J., & van der Puil, C. (2011). Socio-cognitive tension in collaborative working relations. In S. Ludvigsen, A. Lund, I. Rasmussen, & R. Säljö (Eds.), Learning across sites: New tools, infrastructures and practices (pp. 222–242). Routledge.
Andriessen, J., Pardijs, M., & Baker, M. J. (2013). Getting on and getting along: Tension in the development of collaboration. In M. J. Baker, J. Andriessen, & S. Järvelä (Eds.), Affective learning together: Social and emotional dimensions of collaborative learning (pp. 205–230). Routledge.
Asterhan, C. S., & Schwarz, B. B. (2016). Argumentation for learning: Well-trodden paths and unexplored territories. Educational Psychologist, 51(2), 164–187. https://doi.org/10.1080/00461520.2016.1155458
Avry, C., & G., Bétrancourt, M., & Molinari, G. (2020). Achievement appraisals, emotions and socio-cognitive processes: How they interplay in collaborative problem-solving? Computers in Human Behavior, 107, 106267. https://doi.org/10.1016/j.chb.2020.106267
Bakeman, R., & Gottman, J. M. (1997). Observing interaction: An introduction to sequential analysis (2nd ed.). Cambridge University Press.
Bakhtiar, A., Webster, E. A., & Hadwin, A. F. (2017). Regulation and socio-emotional interactions in a positive and a negative group climate. Metacognition and Learning, 13(1), 57–90. https://doi.org/10.1007/s11409-017-9178-x
Baytelman, I., & K., & Constantinou, C. P. (2020). Epistemic beliefs and prior knowledge as predictors of the construction of different types of arguments on socioscientific issues. Journal of Research in Science Teaching, 57(8), 1199–1227.
Chen, W., & H.-H., Lu, Y.-Y., Lin, H., & Hong, Z.-R. (2016). Using a modified argument-driven inquiry to promote elementary school students’ engagement in learning science and argumentation. International Journal of Science Education, 38(2), 170–191. https://doi.org/10.1080/09500693.2015.1134849
Cohen, M., Morrison, L., & K. (2018a). Coding and content analysis. In L. Cohen, L. Manion, & K. Morrison (Eds.), Research Methods in Education (8th ed., pp. 668–685). Routledge.
Cohen, M., Morrison, L., & K. (2018b). Discourses: Conversations, narratives and autobiographies as texts. In L. Cohen, L. Manion, & K. Morrison (Eds.), Research Methods in Education (8th ed., pp. 686–701). Routledge.
De Wever, B., Schellens, T., Valcke, M., & van Keer, H. (2006). Content analysis schemes to analyze transcripts of online asynchronous discussion groups: A review. Computers and Education, 46(1), 6–28. https://doi.org/10.1016/j.compedu.2005.04.005
Felton, M., Garcia-Mila, M., Villarroel, C., & Gilabert, S. (2015). Arguing collaboratively: Argumentative discourse types and their potential for knowledge building. British Journal of Educational Psychology, 85(3), 372–386. https://doi.org/10.1111/bjep.12078
Felton, M., Crowell, A., Garcia-Mila, M., & Villarroel, C. (2019). Capturing deliberative argument: An analytic coding scheme for studying argumentative dialogue and its benefits for learning. Learning, Culture and Social Interaction. https://doi.org/10.1016/j.lcsi.2019.100350
Firer, E., Slakmon, B., Dishon, G., & Schwarz, B. B. (2021). Quality of dialogue and emotion regulation in contentious discussions in higher education. Learning, Culture and Social Interaction, 30, 100535. https://doi.org/10.1016/j.lcsi.2021.100535
Gravetter, F. J., & Wallnau, L. B. (2017). Statistics for the behavioral sciences. Cengage Learning.
Han, J., Kim, K. H., Rhee, W., & Cho, Y. H. (2021). Learning analytics dashboards for adaptive support in face-to-face collaborative argumentation. Computers and Education, 163, 104041–104041. https://doi.org/10.1016/j.compedu.2020.104041
Isohätälä, J., Näykki, P., Järvelä, S., & Baker, M. J. (2018). Striking a balance: Socio-emotional processes during argumentation in collaborative learning interaction. Learning, Culture and Social Interaction, 16, 1–19. https://doi.org/10.1016/j.lcsi.2017.09.003
Isohätälä, J., Näykki, P., & Järvelä, S. (2020a). Cognitive and socio-emotional interaction in collaborative learning: exploring fluctuations in students’ participation. Scandinavian Journal of Educational Research, 64(6), 831–851. https://doi.org/10.1080/00313831.2019.1623310
Isohätälä, J., Näykki, P., & Järvelä, S. (2020b). Convergences of joint, positive interactions and regulation in collaborative learning. Small Group Research, 51(2), 229–264. https://doi.org/10.1177/1046496419867760
Järvenoja, H., Järvelä, S., & Malmberg, J. (2020). Supporting groups’ emotion and motivation regulation during collaborative learning. Learning and Instruction, 70, 101090. https://doi.org/10.1016/j.learninstruc.2017.11.004
Kelley, T. L. (1939). The selection of upper and lower groups for the validation of test items. Journal of Educational Psychology, 30(1), 17–24. https://doi.org/10.1037/h0057123
Krippendorff, K. (2019). Conceptual foundation. In K. Krippendorff (Ed.), Content analysis (pp. 24–50). SAGE Publications Inc.
Kwon, K., Liu, Y. H., & Johnson, L. P. (2014). Group regulation and social-emotional interactions observed in computer supported collaborative learning: Comparison between good vs. poor collaborators. Computers and Education, 78, 185–200.
Liu, Q. T., Liu, B. W., & Lin, Y. R. (2019). The influence of prior knowledge and collaborative online learning environment on students’ argumentation in descriptive and theoretical scientific concept. International Journal of Science Education, 41(2), 165–187. https://doi.org/10.1080/09500693.2018.1545100
Lobczowski, N. G., Allen, E. M., Firetto, C. M., Greene, J. A., & Murphy, P. K. (2020). An exploration of social regulation of learning during scientific argumentation discourse. Contemporary Educational Psychology, 63, 101925. https://doi.org/10.1016/j.cedpsych.2020.101925
Malmberg, J., Järvelä, S., & Järvenoja, H. (2017). Capturing temporal and sequential patterns of self-, co-, and socially shared regulation in the context of collaborative learning. Contemporary Educational Psychology, 49, 160–174. https://doi.org/10.1016/j.cedpsych.2017.01.009
Mänty, K., Järvenoja, H., & Törmänen, T. (2020). Socio-emotional interaction in collaborative learning: Combining individual emotional experiences and group-level emotion regulation. International Journal of Educational Research, 102, 101589. https://doi.org/10.1016/j.ijer.2020.101589
Morgan, D. L. (1993). Qualitative content analysis: A guide to paths not taken. Qualitative Health Research, 3(1), 112–121. https://doi.org/10.1177/104973239300300107
Näykki, P., Järvenoja, H., Järvelä, S., & Kirschner, P. (2017). Monitoring makes a difference: quality and temporal variation in teacher education students’ collaborative learning. Scandinavian Journal of Educational Research, 61(1), 31–46. https://doi.org/10.1080/00313831.2015.1066440
Näykki, P., Isohätälä, J., & Järvelä, S. (2021). “You really brought all your feelings out” – Scaffolding students to identify the socio-emotional and socio-cognitive challenges in collaborative learning. Learning, Culture and Social Interaction, 30, 100536. https://doi.org/10.1016/j.lcsi.2021.100536
Polo, C., Lund, K., Plantin, C., & Niccolai, G. P. (2016). Group emotions: the social and cognitive functions of emotions in argumentation. International Journal of Computer-Supported Collaborative Learning, 11(2), 123–156. https://doi.org/10.1007/s11412-016-9232-8
Rogat, T. K., & Adams-Wiggins, K. R. (2015). Interrelation between regulatory and socioemotional processes within collaborative groups characterized by facilitative and directive other-regulation. Computers in Human Behavior, 52, 589–600. https://doi.org/10.1016/j.chb.2015.01.026
Rogat, T. K., & Linnenbrink-Garcia, L. (2011). Socially shared regulation in collaborative groups: An analysis of the interplay between quality of social regulation and group processes. Cognition and Instruction, 29(4), 375–415. https://doi.org/10.1080/07370008.2011.607930
Sikveland, R. O., & Stokoe, E. (2017). Enquiry calls to GP surgeries in the United Kingdom: Expressions of incomplete service and dissatisfaction in closing sequences. Discourse Studies, 19(4), 441–459. https://doi.org/10.1177/1461445617706999
Sohr, E. R., Gupta, A., & Elby, A. (2018). Taking an escape hatch: Managing tension in group discourse. Science Education (salem, Mass), 102(5), 883–916. https://doi.org/10.1002/sce.21448
Tao, Y., Zhang, M., Su, Y., & Li, Y. (2021). Exploring college english language learners’ social knowledge construction and socio-emotional interactions during computer-supported collaborative writing activities. The Asia-Pacific Education Researcher. https://doi.org/10.1007/s40299-021-00612-7
Winne, P. H., & Hadwin, A. F. (2008). The weave of motivation and self-regulated learning. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation and self-regulated learning: Theory, research and applications (pp. 297–314). Lawrence Erlbaum.
Zhan, Y. (2021). What matters in design? Cultivating undergraduates’ critical thinking through online peer assessment in a Confucian heritage context. Assessment and Evaluation in Higher Education, 46(4), 615–630. https://doi.org/10.1080/02602938.2020.1804826
Zheng, Y., & Yu, J. (2016). Exploring the behavioral patterns of Co-regulation in mobile computer-supported collaborative learning. Smart Learning Environments, 3(1), 1–20. https://doi.org/10.1186/s40561-016-0024-4
Acknowledgements
We thank Audrey Holmes, MA, from Liwen Bianji (Edanz) (www.liwenbianji.cn/) for editing the English text of a draft of this manuscript.
Funding
This work has been supported by the Beijing Natural Science Foundation (Grant No: 9222019), the National Natural Science Foundation of China (Grant No: 62277006) and the International Joint Research Project of Faculty of Education of Beijing Normal University (Grant No: ICER201903).
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Gao, L., Li, X., Li, Y. et al. Capturing Temporal and Sequential Patterns of Socio-Emotional Interaction in High- and Low-Performing Collaborative Argumentation Groups. Asia-Pacific Edu Res 32, 817–831 (2023). https://doi.org/10.1007/s40299-022-00698-7
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DOI: https://doi.org/10.1007/s40299-022-00698-7

