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Shared meaning-making in online intergroup discussions around sensitive topics

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Abstract

Shared meaning-making across differences in today’s polarized society requires a socio-political perspective toward conceptualizing and operationalizing collaborative competence. Thus, there is a pressing need for socio-political pedagogies and designs in CSCL to empower students as cultural-historical agents who can communicate and work effectively across different communities. As the initial steps of our larger efforts to conceptualize and operationalize a model of multicultural collaborative competence (MCC), we explore communication patterns associated with productive and dysfunctional shared meaning-making around difficult topics related to identity (e.g., race, gender) during intergroup dialogues in a CSCL context. We also examine how our preexisting, general model of collaborative competence (GCC) aligns with these communication patterns to explore (1) whether GCC is robust enough to capture the socio-political dynamics of difficult dialogues and (2) the ways in which we could modify it to better address the tensions between GCC and MCC goals. We collected the discussion transcripts of four three-person teams over two-time points from an undergraduate Multicultural Psychology course. We first conducted thematic and cross-case analyses to identify the communication patterns and behaviors associated with productive and dysfunctional shared meaning-making processes in the context of difficult dialogues (i.e., MCC). We then employed another set of cross-case analyses to examine the relationship between the multicultural collaborative competencies (MCC) and general collaborative competencies (GCC). We found four main communication patterns associated with MCC: (1) grounding with narratives and aims, (2) exploring differences and commonalities of narratives/perspectives, (3) critical reflection of diverse narratives/perspectives, and (4) providing emotional support to team members. We also found that although the GCC does not cover these communication patterns and associated behaviors, there were some overlaps between the sophistication of multiculturally competent communication patterns and collaboration quality as defined by the GCC.

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References

  • Aldemir, T., Borge, M., & **a, Y. (2021). Exploration of facilitation strategies for intergroup dialogues in a CSCL context. In C. E. Hmelo-Silver, B. De Wever, & J. Oshima, (Eds.), Proceedings of the 14th International Conference on Computer-Supported Collaborative Learning - CSCL 2021 (pp. 131-138). International Society of the Learning Sciences. https://doi.org/10.22318/cscl2021.131

  • Arvaja, M. (2007). Contextual perspective in analysing collaborative knowledge construction of two small groups in web-based discussion. International Journal of Computer-Supported Collaborative Learning, 2(2), 133–158. https://doi.org/10.1007/s11412-007-9013-5

    Article  Google Scholar 

  • Baker, M., Andriessen, J., & Jarvela, S. (2013). Affective learning together. Routledge, Advances in Learning & Instruction series

  • Barton, A. C., & Tan, E. (2010). We be burnin’! Agency, identity, and science learning. The Journal of the Learning Sciences, 19(2), 187–229. https://doi.org/10.1080/10508400903530044

    Article  Google Scholar 

  • Bergsieker, H. B., Shelton, J. N., & Richeson, J. A. (2010). To be liked versus respected: Divergent goals in interracial interactions. Journal Of Personality and Social Psychology, 99(2), 248. https://doi.org/10.1037/a0018474

    Article  Google Scholar 

  • Bohm, D. (1990). On dialogue. Routledge

  • Borge, M., & Goggins, S. (2014). Towards the facilitation of an online community of learners: Assessing the quality of interactions in Yammer. In J. L. Polman, E. A. Kyza, D. K. O’Neill, I. Tabak, W. R. Penuel, A. S. Jurow, K. O’Connor, T. Lee, & L. D’Amico (Eds.), In the proceedings of the international conference of the learning sciences (ICLS) 2014 - Learning and becoming in practice (Volume 2, pp. 753–760). International Society of the Learning Sciences. https://doi.org/10.22318/icls2014.753

  • Borge, M., Ong, Y. S., & Rosé, C. P. (2018). Learning to monitor and regulate collective thinking processes. International Journal of Computer-Supported Collaborative Learning, 13(1), 61–92. https://doi.org/10.1007/s11412-018-9270-5

    Article  Google Scholar 

  • Borge, M., & Rosé, C. (2021). Quantitative approaches to language in CSCL. In U. Cress, C. Rosé, A. F. Wise, & J. Oshima (Eds.), International handbook of computer-supported collaborative learning (19 vol., pp. 585–604). Cham: Springer. https://doi.org/10.1007/978-3-030-65291-3_32

    Chapter  Google Scholar 

  • Borge, M., & Shimoda, T. (2019). Designing a computer-supported-collective regulation system: A theoretically informed approach. Technology Instruction Cognition & Learning, 11(2–3), 193–217

    Google Scholar 

  • Borge, M., & White, B. (2016). Toward the development of socio-metacognitive expertise: An approach to develo** collaborative competence. Cognition and Instruction, 34(4), 323–360. https://doi.org/10.1080/07370008.2016.1215722

    Article  Google Scholar 

  • Brody, G. H., Chen, Y. F., Murry, V. M., Ge, X., Simons, R. L., Gibbons, F. X., & Cutrona, C. E. (2006). Perceived discrimination and the adjustment of African American youths: A five-year longitudinal analysis with contextual moderation effects. Child Development, 77(5), 1170–1189. https://doi.org/10.1111/j.1467-8624.2006.00927.x

    Article  Google Scholar 

  • Brown, A. L., & Campione, J. C. (1996). Psychological theory and the design of innovative learning environments: On procedures, principles, and systems. In L. Schauble, & R. Glaser (Eds.), Innovations in learning: New environments for education (pp. 289–325). Lawrence Erlbaum Associates, Inc

  • Carrega, C., & Krishnakumar, P. (2021). Hate crime reports in US surge to the highest level in 12 years, FBI says.https://www.cnn.com/2021/08/30/us/fbi-report-hate-crimes-rose-2020/index.html

  • Chan, C. K. K., Hennessy, S., Tong, Y., van Aalst, J., & Wegerif, R. (2019). Temporal analysis of interaction between spoken and digitally mediated dialogue in knowledge building. Paper in Symposium entitled “Dialogic interactions in digital contexts: Multi-modal, multi-level and temporal analysis” presented at the annual meeting of AERA, Toronto, Canada

  • Charmaz, K. (2014). Constructing grounded theory (2nd ed.). Sage Publications

  • Chi, M. T. (1997). Quantifying qualitative analyses of verbal data: A practical guide. The Journal of the Learning Sciences, 6(3), 271–315. https://doi.org/10.1207/s15327809jls0603_1

    Article  Google Scholar 

  • Chi, M. T., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 49(4), 219–243. https://doi.org/10.1080/00461520.2014.965823

    Article  Google Scholar 

  • Cheruvelil, K. S., Soranno, P. A., Weathers, K. C., Hanson, P. C., Goring, S. J., Filstrup, C. T., & Read, E. K. (2014). Creating and maintaining high-performing collaborative research teams: the importance of diversity and interpersonal skills. Frontiers in Ecology and the Environment, 12(1), 31–38. https://doi.org/10.1890/130001

    Article  Google Scholar 

  • Collins, A., Brown, J. S., & Holum, A. (1991). Cognitive apprenticeship: Making thinking visible. American Educator, 15(3), 6–11. https://www.aft.org/ae/winter1991/collins_brown_holum

    Google Scholar 

  • Cooke, N. J., Salas, E., Cannon-Bowers, J. A., & Stout, R. J. (2000). Measuring team knowledge. Human Factors: The Journal of the Human Factors and Ergonomics Society, 42(1), 151–173. https://doi.org/10.1518/001872000779656561. https://doi-org.ezaccess.libraries.psu.edu/

    Article  Google Scholar 

  • Corbin, J., & Strauss, A. (2014). Basics of qualitative research: Techniques and procedures for develo** grounded theory (4th ed.). Sage Publications

  • Cress, U., Oshima, J., Rosé, C. P., & Wise, A. F. (2021). Foundations, processes, technologies, and methods: An overview of CSCL through its handbook. In U. Cress, J. Oshima, C. P. Rosé, & A. F. Wise (Eds.), International handbook of computer-supported collaborative learning. Springer

  • Creswell, J. W., & Miller, D. L. (2000). Determining validity in qualitative inquiry. Theory into Practice, 39(3), 124–130. https://doi.org/10.1207/s15430421tip3903_2

    Article  Google Scholar 

  • Damsa, C., Ludvigsen, S., & Andriessen, J. (2013). Knowledge co-construction - epistemic consensus or relational assent?. In M. Baker, J. Andriessen, & S. Jarvela (Eds.), Affective learning together (pp. 97–119). Routledge, Advances in Learning & Instruction series

  • Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350–383. https://doi.org/10.2307/2666999

    Article  Google Scholar 

  • FBI National Press Office (2021). FBI Releases 2020 Hate Crime Statistics.https://www.fbi.gov/news/pressrel/press-releases/fbi-releases-2020-hate-crime-statistics

  • Fiore, S. M., Gabelica, C., Wiltshire, T. J., & Stokols, D. (2019). Training to be a (team) scientist. In K. Hall, A. Vogel, & R. Croyle (Eds.), Strategies for team science success (pp. 421–444). Cham: Springer. https://doi.org/10.1007/978-3-030-20992-6_33

    Chapter  Google Scholar 

  • 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

    Article  Google Scholar 

  • Frantell, K. A., Miles, J. R., & Ruwe, A. M. (2019). Intergroup dialogue: A review of recent empirical research and its implications for research and practice. Small Group Research, 50(5), 654–695. https://doi.org/10.1177/1046496419835923

    Article  Google Scholar 

  • Fried, L., & Chapman, E. (2012). An investigation into the capacity of student motivation and emotion regulation strategies to predict engagement and resilience in the middle school classroom. The Australian Educational Researcher, 39(3), 295–311. https://doi.org/10.1007/s13384-011-0049-1

    Article  Google Scholar 

  • Gibbons, F. X., Gerrard, M., Cleveland, M. J., Wills, T. A., & Brody, G. (2004). Perceived discrimination and substance use in African American parents and their children: a panel study. Journal of Personality and Social Psychology, 86(4), 517. https://doi.org/10.1037/0022-3514.86.4.517

    Article  Google Scholar 

  • Giroux, H. A. (2017). White nationalism, armed culture and state violence in the age of Donald Trump. Philosophy & Social Criticism, 43(9), 887–910. https://doi.org/10.1177/0191453717702800

    Article  Google Scholar 

  • Goodyear, P., & Zenios, M. (2007). Discussion, collaborative knowledge work and epistemic fluency. British Journal of Educational Studies, 55(4), 351–368. https://doi.org/10.1111/j.1467-8527.2007.00383.x

    Article  Google Scholar 

  • Government Accountability Office (2018). K-12 education: Discipline disparities for black students, boys, and students with disabilities.https://www.gao.gov/assets/gao-18-258.pdf

  • Greene, M. L., Way, N., & Pahl, K. (2006). Trajectories of perceived adult and peer discrimination among Black, Latino, and Asian American adolescents: patterns and psychological correlates. Developmental Psychology, 42(2), 218. https://doi.org/10.1037/0012-1649.42.2.218

    Article  Google Scholar 

  • Gurin, P., Nagda, B. R. A., & Zuniga, X. (2013). Dialogue across difference: Practice, theory, and research on intergroup dialogue. Russell Sage Foundation

  • Gurin-Sands, C., Gurin, P., Nagda, B. R. A., & Osuna, S. (2012). Fostering a commitment to social action: How talking, thinking, and feeling make a difference in intergroup dialogue. Equity & Excellence in Education, 45(1), 60–79. https://doi.org/10.1080/10665684.2012.643699

    Article  Google Scholar 

  • Gutiérrez, K. D., & Jurow, A. S. (2016). Social design experiments: Toward equity by design. Journal of the Learning Sciences, 25(4), 565–598. https://doi.org/10.1080/10508406.2016.1204548

    Article  Google Scholar 

  • Graesser, A. C., Person, N. K., & Magliano, J. P. (1995). Collaborative dialogue patterns in naturalistic one-to-one tutoring. Applied Cognitive Psychology, 9(6), 495–522. https://doi.org/10.1002/acp.2350090604

    Article  Google Scholar 

  • Isohätälä, J., Näykki, P., Järvelä, S., Baker, M. J., & Lund, K. (2021). Social sensitivity: A manifesto for CSCL research. International Journal of Computer-Supported Collaborative Learning, 16(2), 289–299. https://doi.org/10.1007/s11412-021-09344-8

    Article  Google Scholar 

  • Järvelä, S., & Hadwin, A. F. (2013). New frontiers: Regulating learning in CSCL. Educational Psychologist, 48(1), 25–39. https://doi.org/10.1080/00461520.2012.748006

    Article  Google Scholar 

  • Järvenoja, H., & Järvelä, S. (2009). Emotion control in collaborative learning situations: Do students regulate emotions evoked by social challenges. British Journal of Educational Psychology, 79(3), 463–481. https://doi.org/10.1348/000709909X402811

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Ke, F., Chávez, A. F., Causarano, P. N. L., & Causarano, A. (2011). Identity presence and knowledge building: Joint emergence in online learning environments? International Journal of Computer-Supported Collaborative Learning, 6(3), 349–370. https://doi.org/10.1007/s11412-011-9114-z

    Article  Google Scholar 

  • Kirschner, P. A., Kreijns, K., Phielix, C., & Fransen, J. (2015). Awareness of cognitive and social behaviour in a CSCL environment. Journal of Computer Assisted Learning, 31(1), 59–77. https://doi.org/10.1111/jcal.12084

    Article  Google Scholar 

  • Koschmann, T. (2018). Ethnomethodology: Studying the practical achievement of intersubjectivity. In F. Fischer, C. E. Hmelo-Silver, S. R. Goldman, & P. Reimann (Eds.), International handbook of the learning sciences (1st ed., pp. 465–474). Routledge

  • Kozlowski, S., & Ilgen, D. (2006). Enhancing the effectiveness of work groups and teams. Psychological Science in the Public Interest, 7(3), 77–124. https://doi.org/10.1111/j.1529-1006.2006.00030.x

    Article  Google Scholar 

  • Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159. https://doi.org/10.2307/2529310

    Article  Google Scholar 

  • Lee, C. D. (2017). Forward: Critical learning opportunities for the Learning Sciences. In I. Esmonde, & A. N. Booker (Eds.), Power and privilege in the Learning Sciences: Critical and sociocultural theories of learning (pp. vii–xii). Routledge

  • Linell, P. (1998). Approaching dialogue: Talk, interaction and contexts in dialogical perspectives. John Benjamins

  • Linell, P., & Korolija, N. (1997). Coherence in multi-party conversation. In T. Givón (Eds.), Conversation: Cognitive, communicative and social perspectives (pp. 167–205). John Benjamins Publishing Company. https://doi.org/10.1075/tsl.34

  • Matlock, J., Wade-Golden, K., & Gurin, G. (2007). Michigan student study guidebook.https://oami.umich.edu/about/history/michigan-student-study/

  • McAfee, M. (2014). The kinesiology of race. Harvard Educational Review, 84(4), 468–491. https://doi.org/10.17763/haer.84.4.u3ug18060x847412

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Mercer, E., & Higgins, S. (2014). Creating joint representations of collaborative problem solving with multi-touch technology. Journal of Computer Assisted Learning, 30(6), 497–510. https://doi.org/10.1111/jcal.1205

    Article  Google Scholar 

  • Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). Sage Publications

  • Mio, J. S., Barker, L., Domenech, Rodríguez, & Gonzalez, M. M., J (2019). Multicultural psychology: Understanding our diverse communities. Oxford University Press

  • Moschkovich, J. N. (2011). Supporting mathematical reasoning and sense making for English learners. In M. E. Strutchens, & J. R. Quander (Eds.), Focus in high school mathematics: Fostering reasoning and sense making for all students (pp. 17–36). National Council of Teachers of Mathematics

  • Nagda, B. A. (2006). Breaking barriers, crossing borders, building bridges: Communication processes in intergroup dialogues. Journal of Social Issues, 62(3), 553–576. https://doi.org/10.1111/j.1540-4560.2006.00473.x

    Article  Google Scholar 

  • Nagda, B. R. A., Kim, C. W., & Truelove, Y. (2004). Learning about difference, learning with others, learning to transgress. Journal of Social Issues, 60(1), 195–214. https://doi.org/10.1111/j.0022-4537.2004.00106.x

    Article  Google Scholar 

  • Nagda, B. A., Yeakley, A., Gurin, P., & Sorensen, N. (2012). Intergroup dialogue: A critical-dialogic model for conflict engagement. In L. R. Tropp (Ed.), The Oxford handbook of intergroup conflict (pp. 210–228). Oxford University Press

  • Nagda, B. R. A., & Zúñiga, X. (2003). Fostering meaningful racial engagement through intergroup dialogues. Group Processes & Intergroup Relations, 6(1), 111–128. https://doi.org/10.1177/1368430203006001015

    Article  Google Scholar 

  • Näykki, P., Isohätälä, J., Järvelä, S., Pöysä-Tarhonen, J., & Häkkinen, P. (2017). Facilitating socio-cognitive and socio-emotional monitoring in collaborative learning with a regulation macro script–an exploratory study. International Journal of Computer-Supported Collaborative Learning, 12(3), 251–279. https://doi.org/10.1007/s11412-017-9259-5

    Article  Google Scholar 

  • Nickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175–220. https://doi.org/10.1037/1089-2680.2.2.175. https://doi-org.ezaccess.libraries.psu.edu/

    Article  Google Scholar 

  • Ong, Y. S., & Borge, M. (2015). Assessing the quality of students’ arguments in yammer. In 11th International conference on computer supported collaborative learning: Exploring the material conditions of learning, CSCL 2015 (pp. 675–676). International Society of the Learning Sciences (ISLS)

  • Pollack, S., & Kolikant, B. D. Y. (2012). Collaboration amidst disagreement and moral judgment: The dynamics of Jewish and Arab students’ collaborative inquiry of their joint past. International Journal of Computer-Supported Collaborative Learning, 7(1), 109–128. https://doi.org/10.1007/s11412-011-9138-4

    Article  Google Scholar 

  • Reinholz, D. L., & Shah, N. (2018). Equity analytics: A methodological approach for quantifying participation patterns in mathematics classroom discourse. Journal for Research in Mathematics Education, 49(2), 140–177. https://doi.org/10.5951/jresematheduc.49.2.0140

    Article  Google Scholar 

  • Richeson, J. A., & Trawalter, S. (2005). Why do interracial interactions impair executive function? A resource depletion account. Journal Of Personality and Social Psychology, 88(6), 934

    Article  Google Scholar 

  • 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, 112. https://doi.org/10.1016/j.chb.2015.01.026

    Article  Google Scholar 

  • Rourke, L., Anderson, Y., Garrison, D. R., & Archer, W. (2001). Methodological issues in the content analysis of computer conference transcripts. International Journal of Artificial Intelligence in Education, 12 (2001), 8–22. http://hdl.handle.net/2149/715

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

  • Sadker, D., Sadker, M., & Zittleman, K. R. (2009). Still failing at fairness: How gender bias cheats girls and boys in school and what we can do about it. Scribner

  • Saguy, T., Dovidio, J. F., & Pratto, F. (2008). Beyond contact: Intergroup contact in the context of power relations. Personality and Social Psychology Bulletin, 34(3), 432–445. https://doi.org/10.1177/0146167207311200

    Article  Google Scholar 

  • Saldaña, J. (2016). The coding manual for qualitative researchers (3rd ed.). SAGE Publications

  • Saunders, H. H. (1999). A Public Peace Process: Sustained Dialogue to Transform Racial and Ethnic Conflicts. St. Martin’s Press

  • Schwarz, B. B., & Goldberg, T. (2013). “Look who’s talking”: Identity and emotions as resources to historical peer reasoning. In M. J. Baker, J. E. Andriessen, & S. Järvelä (Eds.), Affective learning together (pp. 272–292). Routledge

  • Slakmon, B., & Schwarz, B. 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

    Article  Google Scholar 

  • Soto, J. A., Mena, J. A., Borge, M., Stoyer, M. R., Witherspoon, D. P., & Dawson-Andoh, N. A. (2021). Multicultural competence building blocks: Multicultural psychology courses promote multicultural knowledge and ethnic identity. Teaching of Psychology, 00986283211031854. https://doi.org/10.1177/00986283211031854

  • Suthers, D. D. (2006). Technology affordances for intersubjective meaning making: A research agenda for CSCL. International Journal of Computer-Supported Collaborative Learning, 1(3), 315–337. https://doi.org/10.1007/s11412-006-9660-y

    Article  Google Scholar 

  • Sue, D. W., Capodilupo, C. M., Torino, G. C., Bucceri, J. M., Holder, A., Nadal, K. L., & Esquilin, M. (2007). Racial microaggressions in everyday life: implications for clinical practice. American Psychologist, 62(4), 271

    Article  Google Scholar 

  • Stahl, G. (2004). Building collaborative knowing: Elements of a social theory of CSCL. In J. W. Strijbos, P. A. Kirschner, & R. L. Martens (Eds.), What we know about CSCL and implementing it in higher education (pp. 53–85). Springer Netherlands

  • Stahl, G. (2006). Group cognition: Computer support for building collaborative knowledge. MIT Press

  • Stahl, G., & Hakkarainen, K. (2021). Theories of CSCL. In U. Cress, J. Oshima, C. P. Rosé, & A. F. Wise (Eds.), International handbook of computer-supported collaborative learning. Springer

  • Stahl, G., Koschmann, T., & Suthers, D. (2021). Computer-supported collaborative learning. In U. Cress, J. Oshima, C. P. Rosé, & A. F. Wise (Eds.), International handbook of computer-supported collaborative learning. Springer

  • Teasley, S. D. (1997). Talking about reasoning: how important is the peer in peer collaboration? In L.B. Resnick, R. Säljö, C. Pontecorvo, & B. Burge (Eds.), Discourse, tools and reasoning (pp 361–384). Springer. https://doi.org/10.1007/978-3-662-03362-3_16

  • Tee, M. Y., & Karney, D. (2010). Sharing and cultivating tacit knowledge in an online learning environment. International Journal of Computer-Supported Collaborative Learning, 5(4), 385–413. https://doi.org/10.1007/s11412-010-9095-3

    Article  Google Scholar 

  • TOI Staff (2022). 2021 was the worst year in a decade for antisemitism around the world, report finds. https://www.timesofisrael.com/2021-was-the-worst-year-in-a-decade-for-antisemitism-around-the-world-report-finds/

  • Turner, E., Dominguez, H., Maldonado, L., & Empson, S. (2013). English learners’ participation in mathematical discussion: Shifting positionings and dynamic identities. Journal for Research in Mathematics Education, 44(1), 199–234. https://doi.org/10.5951/jresematheduc.44.1.0199

    Article  Google Scholar 

  • UN Human Rights Council (2020). United Nations strategy and plan of action on hate speech: Detailed guidance on implementation for United Nations field presences.https://www.un.org/en/genocideprevention/documents/UN%20Strategy%20and%20PoA%20on%20Hate%20Speech_Guidance%20on%20Addressing%20in%20field.pdf

  • 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, 15(3), 373–382. https://doi.org/10.1007/s11412-020-09325-3

    Article  Google Scholar 

  • Watt, S. K. (2007). Difficult dialogues, privilege and social justice: Uses of the privileged identity exploration (PIE) model in student affairs practice. College Student Affairs Journal, 26(2), 114–126

    Google Scholar 

  • Weinberger, A., & Fischer, F. (2006). A framework to analyze argumentative knowledge construction in computer-supported collaborative learning. Computers & Education, 46(1), 71–95. https://doi.org/10.1016/j.compedu.2005.04.003

    Article  Google Scholar 

  • Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge University Press

  • West, G. P. (2007). Collective cognition: When entrepreneurial teams, not individuals, make decisions. Entrepreneurship: Theory and Practice, 31(1), 77–102. https://doi.org/10.1111/j.1540-6520.2007.00164.x

    Article  Google Scholar 

  • Wong, C. A., Eccles, J. S., & Sameroff, A. (2003). The influence of ethnic discrimination and ethnic identification on African American adolescents’ school and socioemotional adjustment. Journal of Personality, 71(6), 1197–1232. https://doi.org/10.1111/1467-6494.7106012

    Article  Google Scholar 

  • Woolley, A., Chabris, C., Pentland, A., Hashmi, M., & 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

    Article  Google Scholar 

  • World Economic Forum. (2016). The future of jobs: Employment, skills and workforce strategy for the fourth industrial revolution. Global Challenge Insight Report

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Authors and Affiliations

  1. Department of Learning and Performance Systems, College of Education, State College, United States

    Marcela Borge

  2. Department of Psychology, College of Liberal Arts, The Pennsylvania State University, State College, United States

    Jose Soto

  3. Teaching, Learning, and Leadership Division, University of Pennsylvania, Philadelphia, United States

    Tugce Aldemir

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  1. Tugce Aldemir
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  2. Marcela Borge
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  3. Jose Soto
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Correspondence to Tugce Aldemir.

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Aldemir, T., Borge, M. & Soto, J. Shared meaning-making in online intergroup discussions around sensitive topics. Intern. J. Comput.-Support. Collab. Learn 17, 361–396 (2022). https://doi.org/10.1007/s11412-022-09375-9

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