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Greater than the sum of its parts: The role of minority and majority status in collaborative problem-solving communication (2403.04671v1)

Published 7 Mar 2024 in cs.CL

Abstract: Collaborative problem-solving (CPS) is a vital skill used both in the workplace and in educational environments. CPS is useful in tackling increasingly complex global, economic, and political issues and is considered a central 21st century skill. The increasingly connected global community presents a fruitful opportunity for creative and collaborative problem-solving interactions and solutions that involve diverse perspectives. Unfortunately, women and underrepresented minorities (URMs) often face obstacles during collaborative interactions that hinder their key participation in these problem-solving conversations. Here, we explored the communication patterns of minority and non-minority individuals working together in a CPS task. Group Communication Analysis (GCA), a temporally-sensitive computational linguistic tool, was used to examine how URM status impacts individuals' sociocognitive linguistic patterns. Results show differences across racial/ethnic groups in key sociocognitive features that indicate fruitful collaborative interactions. We also investigated how the groups' racial/ethnic composition impacts both individual and group communication patterns. In general, individuals in more demographically diverse groups displayed more productive communication behaviors than individuals who were in majority-dominated groups. We discuss the implications of individual and group diversity on communication patterns that emerge during CPS and how these patterns can impact collaborative outcomes.

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References (64)
  1. OECD. Pisa 2015 collaborative problem solving framework, 2013.
  2. PISA. Pisa 2015 assessment and analytical framework: Science, reading, mathematic, financial literacy and collaborative problem solving, 2017.
  3. Identifying the most important 21st century workforce competencies: An analysis of the occupational information network (o* net). ETS Research Report Series, 2013(2):i–55, 2013.
  4. Collaborative problem-solving education for the twenty-first-century workforce. Nature human behaviour, 2(6):367–369, 2018.
  5. A question of belonging: race, social fit, and achievement. Journal of personality and social psychology, 92(1):82, 2007.
  6. Female peers in small work groups enhance women’s motivation, verbal participation, and career aspirations in engineering. Proceedings of the National Academy of Sciences, 112(16):4988–4993, 2015.
  7. Solidarity in stem: How gender composition affects women’s experience in work teams. Sex Roles, 82(3):142–154, 2020.
  8. Peer-led team learning helps minority students succeed. PLoS biology, 14(3):e1002398, 2016.
  9. A computer’s understanding of literature. Scientific Study of Literature, 1(1):24–33, 2011.
  10. Modeling student socioaffective responses to group interactions in a collaborative online chat environment. In Educational Data Mining 2014, 2014.
  11. The role of efficacy and identity in science career commitment among underrepresented minority students. Journal of Social Issues, 67(3):469–491, 2011.
  12. Girls and women in science, technology, engineering, and mathematics: Steming the tide and broadening participation in stem careers. Policy Insights from the Behavioral and Brain Sciences, 1(1):21–29, 2014.
  13. Confronting the socialization barrier: cross-ethnic differences in undergraduate women’s preference for it education. In J. Cohoon and W Aspray, editors, Women and Information Technology: Research on Underrepresentation, pages 301–323. MIT Press, Cambridge,MA, 2006.
  14. Maria Ong. Body projects of young women of color in physics: Intersections of gender, race, and science. Social problems, 52(4):593–617, 2005.
  15. Online collaborative learning activities: The perspectives of african american female students. Computers & Education, 82:152–161, 2015.
  16. Bridging the diversity divide–globalization and reciprocal empowerment in higher education. ASHE Higher Education Report, 35(1):1–144, 2009.
  17. Using social network analysis to study the social structures of inclusion. In ASEE annual conference & exposition, 2018.
  18. Exploring underrepresented student motivation and perceptions of collaborative learning-enhanced cs undergraduate introductory courses. In 2019 IEEE Frontiers in Education Conference (FIE), pages 1–6. IEEE, 2019.
  19. Online collaborative learning activities: The perspectives of minority graduate students. Online Learning Journal, 21(4), 2017.
  20. Toward an understanding of macrocognition in teams: Predicting processes in complex collaborative contexts. Human Factors, 52(2):203–224, 2010.
  21. Challenges of assessing collaborative problem solving. In Assessment and teaching of 21st century skills, pages 75–91. Springer, 2018a.
  22. The psychological meaning of words: Liwc and computerized text analysis methods. Journal of language and social psychology, 29(1):24–54, 2010.
  23. Collaboration analytics—current state and potential futures. Journal of Learning Analytics, 8(1):1–12, 2021.
  24. Modeling gender dynamics in intra and interpersonal interactions during online collaborative learning. In Proceedings of the 9th international conference on learning analytics & knowledge, pages 431–435, 2019.
  25. Group communication analysis: A computational linguistics approach for detecting sociocognitive roles in multiparty interactions. Behavior research methods, 51(3):1007–1041, 2019a.
  26. Liwcs the same, not the same: Gendered linguistic signals of performance and experience in online stem courses. In International Conference on Artificial Intelligence in Education, pages 333–345. Springer, 2020.
  27. Cross-cultural comparisons of online collaboration. Journal of computer-mediated communication, 8(1):JCMC814, 2002.
  28. The impact of individualism—collectivism, social presence, and group diversity on group decision making under majority influence. Journal of Management Information Systems, 23(4):53–80, 2007.
  29. Inducing socio-cognitive conflict in finnish and german groups of online learners by cscl script. International Journal of Computer-Supported Collaborative Learning, 8:333–349, 2013.
  30. Differences are different: Examining the effects of communication media on the impacts of racial and gender diversity in decision-making teams. Information Systems Research, 29(3):525–545, 2018.
  31. Ismael Peña-López et al. Pisa 2015 results (volume v). collaborative problem solving. 2017.
  32. Employability skills for 21st-century stem students: the employers’ perspective. Higher education, skills and work-based learning, 2020.
  33. Graduate employability: Views of recent science graduates and employers. International Journal of Innovation in Science and Mathematics Education, 24(3), 2016.
  34. Assessment and teaching of 21st century skills: Methods and approach. Springer, 2015.
  35. Teamwork in engineering undergraduate classes: What problems do students experience? In 2016 ASEE Annual Conference & Exposition, 2016.
  36. Beyond grades: improving college students’ social-cognitive outcomes in stem through a collaborative learning environment. Learning Environments Research, 24(1):123–136, 2021.
  37. OECD. Pisa 2015 technical report, 2017.
  38. When racial/ethnic minorities emerge as leaders: The role of learning orientation and team minority composition. Group Dynamics: Theory, Research, and Practice, 23(3-4):195, 2019.
  39. The effects of proportional representation on intragroup behavior in mixed-race decision-making groups. Small Group Research, 30(3):259–279, 1999.
  40. The impact of demographic heterogeneity and team leader-team member demographic fit on team empowerment and effectiveness. Group & Organization Management, 29(3):334–368, 2004.
  41. Unraveling the effects of cultural diversity in teams: A meta-analysis of research on multicultural work groups. Journal of international business studies, 41(4):690–709, 2010.
  42. Diversity’s harvest: Interactions of diversity sources and communication technology on creative group performance. Organizational Behavior and Human Decision Processes, 111(2):116–126, 2010.
  43. National Science Foundation. Women, minorities, and persons with disabilities in science and engineering : Introduction. https://www.nsf.gov/statistics/2017/nsf17310/digest/introduction/, 2014. Accessed: 2022-03-31.
  44. National Center for Science and Engineering Statistics. Women, minorities, and persons with disabilities in science and engineering, 2019.
  45. Rendered invisible: Are asian americans a model or a marginalized minority? American Psychologist, 76(4):575, 2021.
  46. Trends in clinical research including asian american, native hawaiian, and pacific islander participants funded by the us national institutes of health, 1992 to 2018. JAMA Network Open, 2(7):e197432–e197432, 2019.
  47. Moving beyond the model minority. Asian American Journal of Psychology, 8(1):1, 2017.
  48. Jean Yonemura Wing. Beyond black and white: The model minority myth and the invisibility of asian american students. The Urban Review, 39(4):455–487, 2007.
  49. Advancing the science of collaborative problem solving. Psychological Science in the Public Interest, 19(2):59–92, 2018b.
  50. Promoting inclusivity through time-dynamic discourse analysis in digitally-mediated collaborative learning. In International Conference on Artificial Intelligence in Education, pages 207–219. Springer, 2019b.
  51. Exploring the relationship between emergent sociocognitive roles, collaborative problem-solving skills, and outcomes: A group communication analysis. Journal of Learning Analytics, 7(1):38–57, 2020.
  52. Scip: Combining group communication and interpersonal positioning to identify emergent roles in scaled digital environments. Computers in Human Behavior, 119:106709, 2021.
  53. Gender-related differences in computer-mediated communication and computer-supported collaborative learning. Journal of Computer Assisted Learning, 23(5):393–409, 2007.
  54. Exploring the role of ‘gendered’discourse styles in online science discussions. International Journal of Science Education, 37(3):484–504, 2015.
  55. It’s not that you said it, it’s how you said it: Exploring the linguistic mechanisms underlying values affirmation interventions at scale. AERA Open, 7:23328584211011611, 2021.
  56. Linguistic characteristics of reflective states in video annotations under different instructional conditions. Computers in Human Behavior, 96:211–222, 2019.
  57. Exploring development of social capital in a cmooc through language and discourse. The Internet and Higher Education, 36:54–64, 2018.
  58. The development and psychometric properties of liwc2015. Technical report, 2015.
  59. A framework for measuring undergraduate learning and growth. Change: The Magazine of Higher Learning, 53(6):51–59, 2021.
  60. Carol KK Chan. Co-regulation of learning in computer-supported collaborative learning environments: A discussion. Metacognition and learning, 7:63–73, 2012.
  61. Can students collaboratively use hypermedia to learn science? the dynamics of self-and other-regulatory processes in an ecology classroom. Journal of Educational Computing Research, 31(3):215–245, 2004.
  62. Talking about group (but not individual) process aids group performance. International Journal of Computer-Supported Collaborative Learning, 15:179–192, 2020.
  63. Quantitative approach to collaborative learning: Performance prediction, individual assessment, and group composition. International Journal of Computer-Supported Collaborative Learning, 11:187–225, 2016.
  64. Team creativity/innovation in culturally diverse teams: A meta-analysis. Journal of Organizational Behavior, 40(6):693–708, 2019.

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