A conceptual model for knowledge integration in interdisciplinary teams: orchestrating individual learning and group processes

被引:0
作者
Pennington D. [1 ]
机构
[1] University of Texas at El Paso, 500 W. University Ave., El Paso, 79968, TX
基金
美国国家科学基金会;
关键词
Boundary objects; Distributed cognitive systems; Interdisciplinary teamwork; Knowledge integration;
D O I
10.1007/s13412-015-0354-5
中图分类号
学科分类号
摘要
A well-known barrier to successful interdisciplinary work is the difficulty of integrating knowledge across disciplines. Integrated conceptualizations must leverage the combined knowledge of team members in productive ways for a given problem. The process of knowledge integration has been investigated from a variety of disciplinary perspectives, including organizational science, team psychology, social science, and the learning sciences. These various perspectives are converging on a few key processes that mediate successful knowledge integration: ability to learn each other’s perspectives, participatory processes, and flexible, adaptive problem formulation. This article summarizes key findings from the research literature on knowledge integration and presents a new conceptual model for developing interdisciplinary conceptualizations that links individual, group, and system factors. The model provides clarity regarding the interactions between individual learning and group processes and the challenges these present, identifies strategies for overcoming those challenges, and frames the problem as one of developing a new distributed cognitive system. © 2015, AESS.
引用
收藏
页码:300 / 312
页数:12
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共 91 条
  • [1] Aboelela S.W., Merrill J.A., Carley K.M., Larson E., Social network analysis to evaluate an interdisciplinary research center, J Res Adm, 38, pp. 97-108, (2007)
  • [2] Anthony L.J., Palius M.F., Maher C.A., Moghe P.V., Using discourse analysis to study a cross-disciplinary learning community: insights from an IGERT training program, J Eng Educ, 96, pp. 141-156, (2007)
  • [3] Bammer G., Integration and implementation sciences: building a new specialization, Ecol Soc, 10, (2005)
  • [4] Barnett B.G., Reflection: the cornerstone of learning from experience, In: annual convention University Council for Educational Administrators, (1989)
  • [5] Benda L.E., Poff L.N., Tague C., How to avoid train wrecks when using science in environmental problem solving, Bioscience, 52, pp. 1127-1136, (2002)
  • [6] Berliant M., Fujita M., Knowledge creation as a square dance on the Hilbert Cube, Int Econ Rev, 49, pp. 1251-1295, (2008)
  • [7] Boulton A.J., Panizzon D., Prior J., Explicit knowledge structures as a tool for overcoming obstacles to interdisciplinary research, Conserv Biol, 19, pp. 2026-2029, (2005)
  • [8] Bransford J., Vye N., Stevens R., Et al., Learning theories and education: toward a decade of synergy, Handbook of educational psychology, pp. 209-244, (2006)
  • [9] Campbell L.M., Overcoming obstacles to interdisciplinary research, Conserv Biol, 19, pp. 574-577, (2005)
  • [10] Chandrasekharan S., Nersessian N.J., Building cognition: the construction of external representations for discovery, In: Proceedings of the 33rd annual conference of the Cognitive Science Society, pp. 267-272, (2011)