Social sensitivity: a manifesto for CSCL research

Jaana Isohätälä1, Piia Näykki2, Sanna Järvelä1, Michael Baker3, Kristine Lund4
1University of Oulu, Oulu, Finland
2University of Jyväskylä, Jyväskylä, Finland
3Telecom Paris & CNRS, Paris, France
4University of Lyon & CNRS, Lyon, France

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Allwood, J., Traum, D., & Jokinen, K. (2000). Cooperation, dialogue and ethics. International Journal of Human-Computer Studies, 53(6), 871–914.

Altebarmakian, M., & Alterman, R. (2019). Cohesion in online environments. International Journal of Computer-Supported Collaborative Learning, 14(4), 443–465. https://doi.org/10.1007/s11412-019-09309-y

Andriessen, J., & Baker, M. J. (2014). Arguing to Learn. In K. Sawyer (Ed.), The Cambridge Handbook of the Learning Sciences (2nd ed., pp. 439–460). Cambridge: Cambridge University Press. https://doi.org/10.1017/cbo9780511816833.027

Avry, S., Molinari, G., Bétrancourt, M., Chanel, G. (2020) Sharing emotions contributes to regulating collaborative intentions in group problem-solving. Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2020.01160

Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–147.

Barron, B. (2003). When smart groups fail. Journal of the Learning Sciences, 12(3), 307–359. https://doi.org/10.1207/S15327809JLS1203

Baker, M. J., Andriessen, J., & Järvelä, S. (2013). Introduction: Visions of learning together. In M. J. Baker, J. Andriessen, & S. Järvelä (Eds.), Affective Learning Together: Social and emotional dimensions of collaborative learning (pp. 1–30). Routledge.

Beaunoyer, E., Dupéré, S., Guitton, M. (2020). COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies. Computers in Human Behavior 111. https://doi.org/10.1016/j.chb.2020.106424

Bender, L., Walia, G., Kambhampaty, K., Nygard, K., & Nygard, T. (2012). Social sensitivity and classroom team projects: An empirical investigation. In Proceedings of the 43rd ACM Technical Symposium on Computer Science Education (pp. 403–408). New York, NY, USA: Association for Computing Machinery.

Bloom, P. (2016). The perils of empathy. The Wall Street Journal. Retrieved from https://www.wsj.com/articles/the-perils-of-empathy-1480689513.

Borge, M., & Mercier, E. (2019). Towards a micro-ecological approach to CSCL. International Journal of Computer-Supported Collaborative Learning, 14(2), 219–235. https://doi.org/10.1007/s11412-019-09301-6

Chanel, G., Lalanne, D., Lavoué, E., Lund, K., Molinari, G., Ringeval, F., & Weinberger, A. (2016). Grand challenge problem 2: Adaptive awareness for social regulation of emotions in online collaborative learning environments. Eberle J., Lund K., Tchounikine P., Fischer F. (Eds.). Grand Challenge Problems in Technology-Enhanced Learning II: MOOCs and Beyond (pp. 13–16). Berlin: Springer.

Cress, U., Oshima, J., Rosé, C. & Wise, A. (Eds.) (2021). International Handbook of Computer-Supported Collaborative Learning. Springer. ISBN 978–3–030–65291–3.

Dawson, S., Joksimovic, S., Poquet, O., & Siemens, G. (2019). Increasing the impact of learning analytics. In Proceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK19) (pp. 446–455). New York, NY, USA: Association for Computing Machinery.

Damşa, C., & Jornet, A. (2020). The unit of analysis in learning research: Approaches for imagining a transformative agenda. Learning, Culture and Social Interaction. Online first. https://doi.org/10.1016/j.lcsi.2020.100407

Delahunty, J., Verenikina, I., & Jones, P. (2014). Socio-emotional connections: Identity, belonging and learning in online interactions. A literature review. Technology, Pedagogy and Education, 23(2), 243–265. https://doi.org/10.1080/1475939x.2013.813405

Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350–352. https://doi.org/10.2307/2666999

Enyedy, N., & Stevens, R. (2014). Analyzing collaboration. In K. Sawyer (Ed.), The Cambridge Handbook of the Learning Sciences (2nd ed., pp. 191–212). Cambridge University Press.

Hadwin, A. F., Järvelä, S., & Miller, M. (2018). Self-regulation, co-regulation and shared regulation in collaborative learning environments. In D. Schunk & J. Greene (Eds.), Handbook of Self-Regulation of Learning and Performance (2nd ed., pp. 83–106). Routledge.

Han, A., Krieger, F., & Greiff, S. (2021). Collaboration analytics need more comprehensive models and methods: An opinion paper. Journal of Learning Analytics, 8(1), 13–29. https://doi.org/10.18608/jla.2021.7288

Harley, J., Lajoie, S., Frasson, C., & Hall, N. (2017). Developing emotion-aware, advanced learning technologies: A taxonomy of approaches and features. International Journal of Artificial Intelligence in Education, 27(2), 268–297. https://doi.org/10.1007/s40593-016-0126-8

Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. EDUCAUSE Review. Retrieved from https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teaching-and-online-learning

Isohätälä, J., Näykki, P., & Järvelä, S. (2020). Convergences of joint, positive interactions and regulation in collaborative learning. Small Group Research, 51(2), 229–264. https://doi.org/10.1177/1046496419867760

Jacobson, M. J., Lund, K., Hoadley, C., Vatrapu, R., Kolodner, J. L., & Reimann, P. (2016). Beyond just getting our word out: Creating pipelines from learning sciences research to educational practices. In C-K. Looi, J. L. Polman, U. Cress, & P. Reimann (Eds.), Transforming Learning, Empowering Learners: The International Conference of the Learning Sciences (ICLS) 2016, Volume 2 (pp. 1071–1073). Singapore: International Society of the Learning Sciences.

Järvelä, S., Gašević, D., Seppänen, T., Pechenizkyi, M., & Kirschner, P. A. (2020). Bridging learning sciences, machine learning, and affective computing for understanding cognition and affect in collaborative learning. British Journal of Educational Technology. Online first. https://doi.org/10.1111/bjet.12917

Judele, R., & Weinberger, A. (2017). Adaptive signposts out of the echo chamber: Enhancing argumentation in social networks. Civitas Educationis. Education, Culture, and Politics, 6(1).

Karau, S. J., & Elsaid, A. M. M. K. (2009). Individual differences in beliefs about groups. Group Dynamics: Theory, Research, and Practice, 13, 1–13. https://doi.org/10.1037/a0013366

Kreijns, K., Kirschner, P. A., & Vermeulen, M. (2013). Social aspects of CSCL environments: A research framework. Educational Psychologist, 48(4), 229–242. https://doi.org/10.1080/00461520.2012.750225

Lämsä, J., Uribe, P., Jiménez, A., Caballero, D., Hämäläinen, R., & Araya, R. (2021). Deep networks for collaboration analytics: Promoting automatic analysis of face-to-face interaction in the context of inquiry-based learning. Journal of Learning Analytics, 8(1), 113–125. https://doi.org/10.18608/jla.2021.7118

Lehmann-Willenbrock, N., Hung, H., & Keyton, J. (2017). New frontiers in analyzing dynamic group interactions: Bridging social and computer science. Small Group Research, 48(5), 519–531. https://doi.org/10.1177/1046496417718941

Lindgren, R. (2012). Generating a learning stance through perspective-taking in a virtual environment. Computers in Human Behavior, 28(4), 1130–1139.

Loades, M., Chatburn, E., Higson-Sweeney, N., Reynolds, S., Shafran, R., & Bridgen, A,...Crawley, E. . (2020). Rapid systematic review: The impact of social isolation and loneliness on the mental health of children and adolescents in the context of COVID-19. Journal of the American Academy of Child & Adolescent Psychiatry. Online First. https://doi.org/10.1016/j.jaac.2020.05.009

Luckin, R., & Holmes, W. (2016). Intelligence unleashed: An argument for AI in education. London, UK: Pearson.

Martin, F., Dennen, V., & Bonk, C. (2020). A synthesis of systematic review research on emerging learning environments and technologies. Educational Technology Research and Development, 68, 1613–1633. https://doi.org/10.1007/s11423-020-09812-2

May, K., Elder, A. (2018). Efficient, helpful, or distracting? A literature review of media multitasking in relation to academic performance. International Journal of Educational Technology in Higher Education, 15. https://doi.org/10.1186/s41239-018-0096-z

Meyer, D. G., & Turner, J. C. (2002). Discovering emotion in classroom motivation research. Educational Psychologist, 37(2), 107–114.

McStay, A. (2020). Emotional AI, and EdTech: Serving the public good? Learning, Media and Technology, 45(3), 270–283. https://doi.org/10.1080/17439884.2020.1686016

Mercer, N. (1996). The quality of talk in children’s collaborative activity in the classroom. Learning and Instruction, 6(4), 359–377. https://doi.org/10.1016/S0959-4752(96)00021-7

Molinari, G. & Lund, K. (2012). How a power game shapes expressing opinions in a chat and in an argument graph during a debate: A case study. In J. van Aalst, B.J. Reiser, C. Hmelo-Silver, K. Thompson (Eds.), The Future of Learning: Proceedings of the 10th International Conference of the Learning Sciences (ICLS 2012) (pp. 232–236). Sydney: International Society of the Learning Sciences.

Nokes-Malach, T. J., Richey, J. E., & Gadgil, S. (2015). When is it better to learn together? Insights from research on collaborative learning. Educational Psychology Review, 27, 645–656. https://doi.org/10.1007/s10648-015-9312-8

Näykki, P., Järvelä, S., Kirschner, P. A., & Järvenoja, H. (2014). Socio-emotional conflict in collaborative learning – A process-oriented case study in a higher education context. International Journal of Educational Research, 68, 1–14. https://doi.org/10.1016/j.ijer.2014.07.001

Ogan A., Finkelstein S., Walker E., Carlson R., & Cassell J. (2012). Rudeness and rapport: Insults and learning gains in peer tutoring. In Cerri S.A., Clancey W.J., Papadourakis G., Panourgia K. (Eds.) Intelligent Tutoring Systems. ITS 2012. Lecture Notes in Computer Science, vol 7315. Berlin: Springer. https://doi.org/10.1007/978-3-642-30950-2_2

Öztok, M. (2016). Cultural ways of constructing knowledge: The role of identities in online group discussions. International Journal of Computer-Supported Collaborative Learning, 11, 157–186. https://doi.org/10.1007/s11412-016-9233-7.

Overdijk, M., van Diggelen, W., Kirschner, P. A., & Baker, M. J. (2012). Connecting agents and artifacts in CSCL: Towards a rationale of mutual shaping. International Journal of Computer Supported Collaborative Learning, 7(2), 193–210.

Pedro, L., Barbosa C., Santos, C. (2018). A critical review of mobile learning integration in formal educational contexts. International Journal of Educational Technology in Higher Education, 15. https://doi.org/10.1186/s41239-018-0091-4

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, 123–156. https://doi.org/10.1007/s11412-016-9232-8

Richmond, V. P., & McCroskey, J. C. (1984). Power in the classroom II: Power and learning. Communication Education, 33(2), 125–136.

Riggio, R. (1986). Assessment of basic social skills. Journal of Personality and Social Psychology, 51(3), 649–660.

Roeser, S. (2012). Emotional engineers: Toward morally responsible design. Science and Engineering Ethics, 18(1), 103–115. https://doi.org/10.1007/s11948-010-9236-0

Roschelle, J., & Teasley, S. D. (1995). The construction of shared knowledge in collaborative problem solving. In C. O’Malley (Ed.), Computer-Supported Collaborative Learning (pp. 69–97). Springer. https://doi.org/10.1007/978-3-642-85098-1_5

Rosé, C. P., McLaughlin, E. A., Liu, R., & Koedinger, K. R. (2019). Explanatory learner models: Why machine learning (alone) is not the answer. British Journal of Educational Technology, 50(6), 2943–2958. https://doi.org/10.1111/bjet.12858

Scardamalia, M. & Bereiter, C. (2020). Will knowledge building remain uniquely human? QWERTY 15(2), 12–26. https://doi.org/10.30557/QW000028

Schleicher, A. (2018). Teaching and Learning International Survey TALIS 2018. Insights and interpretations. OECD report. Retrieved from: http://www.oecd.org/education/talis/TALIS2018_insights_and_interpretations.pdf

Schwarz, B. B., Ben-David Kolikant, Y., & Mishenkina, M. (2012). ‘Co-alienation’ mediated by common representations in synchronous discussions. Learning, Culture and Social Interaction, 1, 216–231. https://doi.org/10.1016/j.lcsi.2012.09.002

Sinha, S., Rogat, T. K., Adams-Wiggins, K. R., & Hmelo-Silver, C. E. (2015). Collaborative group engagement in a computer-supported inquiry learning environment. International Journal of Computer-Supported Collaborative Learning, 10(3), 273–307. https://doi.org/10.1007/s11412-015-9218-y

Slakmon, B., & Schwarz, B. (2019). Deliberative emotional talk. International Journal of Computer-Supported Collaborative Learning, 14(2), 185–217. https://doi.org/10.1007/s11412-019-09304-3

Spikol, D., Ruffaldi, E., Dabisias, G., & Cukurova, M. (2018). Supervised machine learning in multimodal learning analytics for estimating success in project-based learning. Journal of Computer Assisted Learning, 34(4), 366–377. https://doi.org/10.1111/jcal.12263

Stahl, G. (2013). Theories of cognition in collaborative learning. In C. E. Hmelo-Silver, C. A. Chinn, C. Chan, & A. M. O’Donnell (Eds.), The International Handbook of Collaborative Learning (pp. 74–90). Routledge.

Strauss, S., & Rummel, N. (2020). Promoting interaction in online distance education: Designing, implementing and supporting collaborative learning. Information and Learning Sciences, 121(5), 251–260. https://doi.org/10.1108/ILS-04-2020-0090

Suthers, D. D., Lund, K., Rosé, C. P., Teplovs, C., & Law, N. (2013). Productive Multivocality in the Analysis of Group Interactions. Boston, MA, USA: Springer. https://doi.org/10.1007/978-1-4614-8960-3

Tchounikine, P. (2016). Contribution to a theory of CSCL scripts: Taking into account the appropriation of scripts by learners. International Journal of Computer-Supported Collaborative Learning, 11, 349–369. https://doi.org/10.1007/s11412-016-9240-8

Teräs, M., J Suoranta H Teräs M Curcher (2020) Post-Covid-19 education and education technology ‘solutionism’: A seller’s market Postdigital Science and Education 1–16. https://doi.org/10.1007/s42438-020-00164-x

Uttamchandani, S., Bhimdiwala, A., Hmelo-Silver, C. E. (2020). Finding a place for equity in CSCL: Ambitious learning practices as a lever for sustained educational change. International Journal of Computer-Supported Collaborative Learning 373–382. https://doi.org/10.1007/s11412-020-09325-3

Walther, J. (2012). Interaction through technological lenses: Computer-mediated communication and language. Journal of Language and Social Psychology, 31(4), 397–414.

Wise, A. F., & Schwarz, B. B. (2017). Visions of CSCL: eight provocations for the future of the field. International Journal of Computer-Supported Collaborative Learning, 12(4), 423–467. https://doi.org/10.1007/s11412-017-9267-5

Woolley, A., Chabris, C., Pentland, A., Hashmi, N., & Malone, T. (2010). Evidence for a collective intelligence factor in the performance of human groups. Science, 330(6004), 686–688. https://doi.org/10.1126/science.1193147