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Collaborative, cross-disciplinary learning and co-emergent innovation in eScience teams

机译:电子团队的协作,跨学科学习和共同创新

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Collaborative eScience research teams are impeded by difficulties defining problems that provide research opportunities for all participants. Problem formulation occurs early in the collaboration process when the demand for ideas is high. However, cross-disciplinary linkages and integrated conceptual frameworks from which strong interdisciplinary ideas emerge do not evolve until later. The process of co-creating interdisciplinary research ideas is fundamentally a learning problem; participants from different disciplines must learn enough about each other’s research interests to construct an integrated conceptual framework from which joint problems of interest can be created. However, participants rarely have the conceptual background needed to easily understand research topics in other disciplines; hence methods for enabling rapid learning in these situations are needed. Team interactions that more effectively generate interdisciplinary ideas can be enabled based on a better understanding the process of cross-disciplinary, collaborative learning. This article postulates several models of collaborative learning in these settings and discusses the implications for orchestrating team activities to achieve better outcomes.
机译:协作式eScience研究团队在定义难以为所有参与者提供研究机会的问题时受到阻碍。当对创意的需求很高时,问题制定就出现在协作过程的早期。但是,跨学科的联系和综合的概念框架(直到后来才产生了强大的跨学科思想)才得以发展。共同创建跨学科研究思想的过程从根本上讲是一个学习问题;来自不同学科的参与者必须充分了解彼此的研究兴趣,以构建一个集成的概念框架,从中可以创建感兴趣的联合问题。但是,参与者很少具有轻松理解其他学科研究主题所需的概念背景。因此,需要在这些情况下实现快速学习的方法。基于对跨学科协作学习过程的更好理解,可以实现更有效地产生跨学科想法的团队互动。本文假设了在这种情况下的几种协作学习模型,并讨论了组织团队活动以取得更好成果的意义。

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