Theories of learning as theories of society: A contrapuntal approach to expanding disciplinary authenticity in computing

IF 3 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
T. Philip, P. Sengupta
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引用次数: 30

Abstract

ABSTRACT Background We outline a case for how the Learning Sciences is at a powerful inflection point where the “real world” needs to be seen as comprised of the political entities and processes in which learning happens. We seek to sharpen the principle that learning is political by elucidating historical and contemporary processes of European and U.S. imperialism that remain foundational to our field and by developing the argument that theories of learning are theories of society. Methods Through a contrapuntal approach, which emphasizes a critical lens to analyze empire, we juxtapose notions of authentic practice in computing education with scholarship in sociology that brings the lives of tech industry immigrant workers to the fore. Findings Our analysis reveals how the social construction of disciplinary and professional expertise in computing is intricately interwoven with historically persistent patterns of the appropriation of the lives and labor of endarkened people through systems of transnational migration and institutional forms of racial segregation. Contribution A contrapuntal lens in the Learning Sciences prompts our field to embrace the necessary uncertainties and the theoretical and methodological possibilities that emerge when sites of learning and learning itself are recognized as political and as contestations of empire.
作为社会理论的学习理论:扩展计算机学科真实性的对位方法
我们概述了一个案例,说明学习科学如何处于一个强大的拐点,在这个拐点上,“现实世界”需要被视为由政治实体和学习发生的过程组成。我们试图通过阐明欧洲和美国帝国主义的历史和当代进程(这仍然是我们领域的基础),并通过发展学习理论是社会理论的论点,来强化学习是政治的原则。方法通过对位的方法,强调分析帝国的关键镜头,我们将计算教育中的真实实践概念与社会学中的奖学金并置,这些奖学金将科技产业移民工人的生活带到最前沿。我们的分析揭示了计算机学科和专业知识的社会建构如何与通过跨国移民系统和制度性种族隔离形式占用贫困人口的生命和劳动的历史持续模式错综复杂地交织在一起。学习科学中的对位镜头促使我们的领域接受必要的不确定性以及理论和方法上的可能性,当学习场所和学习本身被视为政治和帝国的争论时,这些不确定性和可能性就会出现。
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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来源期刊
CiteScore
10.70
自引率
5.30%
发文量
17
期刊介绍: Journal of the Learning Sciences (JLS) is one of the two official journals of the International Society of the Learning Sciences ( www.isls.org). JLS provides a multidisciplinary forum for research on education and learning that informs theories of how people learn and the design of learning environments. It publishes research that elucidates processes of learning, and the ways in which technologies, instructional practices, and learning environments can be designed to support learning in different contexts. JLS articles draw on theoretical frameworks from such diverse fields as cognitive science, sociocultural theory, educational psychology, computer science, and anthropology. Submissions are not limited to any particular research method, but must be based on rigorous analyses that present new insights into how people learn and/or how learning can be supported and enhanced. Successful submissions should position their argument within extant literature in the learning sciences. They should reflect the core practices and foci that have defined the learning sciences as a field: privileging design in methodology and pedagogy; emphasizing interdisciplinarity and methodological innovation; grounding research in real-world contexts; answering questions about learning process and mechanism, alongside outcomes; pursuing technological and pedagogical innovation; and maintaining a strong connection between research and practice.
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