欧盟 DigComp 2.2 新框架中的数据扫盲 DigComp 如何定义人工智能、物联网和数据方面的能力

Leo Van Audenhove, Lotte Vermeire, Wendy Van den Broeck, Andy Demeulenaere
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摘要

本文旨在分析新版《公民数字能力框架》(DigComp 2.2)中的数据素养。2022 年年中,欧盟委员会联合研究中心发布了新版 DigComp(欧盟委员会,2022 年)。新版本更加关注社会的数据化和新兴技术,如人工智能。本文分析了 DigComp 2.2 如何定义数据素养,以及该框架如何从社会视角看待这一问题。研究结果数据素养在框架中得到了很好的涵盖,但更强调的是理解数据而不是使用数据,例如,收集数据只被编码了一次。从主题上看,DigComp 2.2 主要关注安全和隐私(31 个代码),而对数据的社会影响(如环境影响或数据公平性)关注较少。DigComp 广泛应用于不同学科,目前已将数据素养作为公民的一项必备能力。因此,分析其对数据素养和新兴技术的看法具有现实意义,因为它将对欧洲的教育产生重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data literacy in the new EU DigComp 2.2 framework how DigComp defines competences on artificial intelligence, internet of things and data
Purpose The purpose of this paper is to analyse data literacy in the new Digital Competence Framework for Citizens (DigComp 2.2). Mid-2022 the Joint Research Centre of the European Commission published a new version of the DigComp (EC, 2022). This new version focusses more on the datafication of society and emerging technologies, such as artificial intelligence. This paper analyses how DigComp 2.2 defines data literacy and how the framework looks at this from a societal lens. Design/methodology/approach This study critically examines DigComp 2.2, using the data literacy competence model developed by the Knowledge Centre for Digital and Media Literacy Flanders-Belgium. The examples of knowledge, skills and attitudes focussing on data literacy (n = 84) are coded and mapped onto the data literacy competence model, which differentiates between using data and understanding data. Findings Data literacy is well-covered in the framework, but there is a stronger emphasis on understanding data rather than using data, for example, collecting data is only coded once. Thematically, DigComp 2.2 primarily focusses on security and privacy (31 codes), with less attention given to the societal impact of data, such as environmental impact or data fairness. Originality/value Given the datafication of society, data literacy has become increasingly important. DigComp is widely used across different disciplines and now integrates data literacy as a required competence for citizens. It is, thus, relevant to analyse its views on data literacy and emerging technologies, as it will have a strong impact on education in Europe.
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