Harnessing collective intelligence for the future of learning - a co-constructed research and development agenda

D. Misevic, Ignacio Atal, Denis Bédard, Éric Cherel, José Escamilla, Linda Evans, V. Hannon, C. Huron, O. Irrmann, René F. Kizilcec, E. Lazega, Kerri Lemoie, A. Lindner, Mariana Macedo, G. Mainguy, Richard Mann, Camille Masselot, Pietro Michelucci, I. Nikolayeva, Amy Ogan, M. Pérez-Sanagustín, N. Pescetelli, Sasha Poquet, J. Rafner, Dominic Regester, Marc Santolini, Jean-Marc Sevin, Dafna Shahaf, J. Sherson, Jacksón Smith, Mattias Söllner, F. Fogelman-Soulié, F. Taddei, L. Tupikina, Sander van der Leeuw
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Abstract

Learning, defined as the process of constructing meaning and developing competencies to act on it, is instrumental in helping individuals, communities, and organizations tackle challenges. When these challenges increase in complexity and require domain knowledge from diverse areas of expertise, it becomes difficult for single individuals to address them. In this context, collective intelligence, a capacity of groups of people to act together and solve problems using their collective knowledge, becomes of great importance. Technologies are instrumental both to support and understand learning and collective intelligence, hence the need for innovations in the area of technologies that can support user needs to learn and tackle collective challenges. Use-inspired research is a fitting paradigm that spans applied solutions and scientific explanations of the processes of learning and collective intelligence, and that can improve the technologies that may support them. Although some conceptual and theoretical work explaining and linking learning with collective intelligence is emerging, technological infrastructures as well as methodologies that employ and evidence that support them are nascent. We convened a group of experts to create a middleground and engage with the priorities for use-inspired research. Here we detail directions and methods they put forward as most promising for advancing a scientific agenda around learning and collective intelligence.
为学习的未来利用集体智慧——共同构建的研究和发展议程
学习,被定义为构建意义和发展能力的过程,是帮助个人、社区和组织应对挑战的工具。当这些挑战变得越来越复杂,并且需要来自不同专业领域的领域知识时,单个人就很难解决这些问题。在这种背景下,集体智慧,一群人一起行动并利用他们的集体知识解决问题的能力,变得非常重要。技术是支持和理解学习和集体智慧的工具,因此需要在技术领域进行创新,以支持用户学习和解决集体挑战的需求。使用启发研究是一个合适的范例,它涵盖了应用解决方案和对学习和集体智慧过程的科学解释,并且可以改进可能支持它们的技术。虽然一些解释学习与集体智慧的概念和理论工作正在兴起,但技术基础设施以及使用的方法和支持它们的证据仍处于萌芽阶段。我们召集了一组专家来创造一个中间地带,并参与使用启发研究的优先事项。在这里,我们详细介绍了他们提出的最有希望推进围绕学习和集体智慧的科学议程的方向和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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