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Design in the age of big data: Examining the case of online education.

机译:大数据时代的设计:研究在线教育的案例。

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摘要

This work engages the question of design in an era of large scale data, focusing on the development of the values, concepts, and meanings that come about in the production of large scale systems of socio-technical interaction. Using the example of the design of massive, open, online courses (MOOCs), philosophical and interpretive methods are used to examine the nature of design, big data, and the engagement that exists between designers and users. Starting from an analysis of the work of design as it seeks to merge technological possibilities with the needs of users, the design of socio-technical systems is conceptualized as an ethical event, one which opens up the possibility of the the definition of new values and concepts. Placed into the context of large scale user data, the agentive situation of the work of design is considered, with such "big human data" coming to be seen to play a central role in the determination of the products of design. In this, the concept of "peak empiricism" is developed in order to address the epistemic exhaustion that comes as increasing levels of user data is confronted in the work of design. As part of this, a new mode of conceptualizing data's role in the work of design is explicated. The specific function of the relationship between large scale user data and the work of design is demonstrated through the development of a typology of critical incidents as such incidents are found in the course data from a number of MOOCs. The implications of these findings are then leveraged toward the re-evaluation of the critical perspective put forward in Martin Heidegger's canonical analysis of the social implications of technology. Through this, established metaphysical framings for the understanding of the relation between human actors and technological systems are reformulated. Ultimately, what is put forward is a de-centered conceptualization of design as an eventful occurrence across a field of human and technological possibilities.
机译:这项工作涉及到大规模数据时代的设计问题,重点是在大规模的社会技术互动系统的生产中产生的价值,概念和含义。以大规模,开放式在线课程(MOOC)的设计为例,使用哲学和解释性方法来检查设计的本质,大数据以及设计师和用户之间的互动。从对设计工作的分析开始,当它试图将技术可能性与用户需求融合在一起时,社会技术系统的设计就被概念化为一种道德事件,这为定义新价值和创新提供了可能性。概念。在大规模用户数据的上下文中,考虑了设计工作的代理情况,这种“大人类数据”在确定产品设计中起着核心作用。在这种情况下,开发了“峰值经验主义”的概念,以解决由于设计工作中面临的用户数据水平不断提高而带来的认知疲劳。作为其一部分,阐述了一种概念化数据在设计工作中的作用的新模式。大规模事件数据与设计工作之间关系的特定功能通过关键事件类型学的发展得以证明,因为此类事件可从许多MOOC的课程数据中找到。这些发现的含义随后被用于对马丁·海德格尔对技术的社会含义进行规范分析中提出的批判性观点的重新评估。通过这种方式,重新建立了用于理解人类行为者与技术系统之间关系的已建立的形而上学框架。最终,提出了一种偏心的设计概念化,认为这是跨越人类和技术可能性领域的一个偶然事件。

著录项

  • 作者

    Marcinkowski, Michael R.;

  • 作者单位

    The Pennsylvania State University.;

  • 授予单位 The Pennsylvania State University.;
  • 学科 Information science.;Information technology.;Philosophy of science.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 326 p.
  • 总页数 326
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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