数据意识框架是 K-12 教育中数据素养的一部分

IF 1.6 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Information and Learning Sciences Pub Date : 2023-12-18 DOI:10.1108/ils-06-2023-0075
Lukas Höper, Carsten Schulte
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引用次数: 0

摘要

目的在当今的数字世界中,数据驱动的数字艺术品给教育带来了挑战,因为许多学生缺乏对数据的了解,在与数据交互时感到无能为力。本文旨在应对这些挑战,并介绍数据意识框架。它侧重于理解数据驱动的技术,并反思数据在日常生活中的作用。设计/方法/途径本研究涉及一个数据意识教学单元,采用前测和后测设计,使用问卷调查学生对数据驱动的数字艺术品的数据实践的认识、理解和反思。研究结果研究结果表明,数据意识框架有助于学生理解数据驱动的数字艺术品的数据实践。研究结果还表明,该框架鼓励学生对这些数据实践进行反思,并对其日常行为进行思考。原创性/价值学生们学习了与数据驱动的数字人工制品进行交互的模型,并用它来分析数据驱动的应用程序。这种方法似乎能让学生从日常生活中理解这些人工制品,并对这些互动进行反思。这项工作有助于对数据和人工智能素养的研究,并提出了一种支持学生在与数据驱动的数字人工制品互动过程中发展自主性和能动性的方法。
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The data awareness framework as part of data literacies in K-12 education
Purpose In today’s digital world, data-driven digital artefacts pose challenges for education, as many students lack an understanding of data and feel powerless when interacting with them. This paper aims to address these challenges and introduces the data awareness framework. It focuses on understanding data-driven technologies and reflecting on the role of data in everyday life. The paper also presents an empirical study on young school students’ data awareness. Design/methodology/approach The study involves a teaching unit on data awareness framed by a pre- and post-test design using a questionnaire on students’ awareness and understanding of and reflection on data practices of data-driven digital artefacts. Findings The study’s findings indicate that the data awareness framework supports students in understanding data practices of data-driven digital artefacts. The findings also suggest that the framework encourages students to reflect on these data practices and think about their daily behaviour. Originality/value Students learn a model about interactions with data-driven digital artefacts and use it to analyse data-driven applications. This approach appears to enable students to understand these artefacts from everyday life and reflect on these interactions. The work contributes to research on data and artificial intelligence literacies and suggests a way to support students in developing self-determination and agency during interactions with data-driven digital artefacts.
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来源期刊
Information and Learning Sciences
Information and Learning Sciences INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
9.50
自引率
2.90%
发文量
30
期刊介绍: Information and Learning Sciences advances inter-disciplinary research that explores scholarly intersections shared within 2 key fields: information science and the learning sciences / education sciences. The journal provides a publication venue for work that strengthens our scholarly understanding of human inquiry and learning phenomena, especially as they relate to design and uses of information and e-learning systems innovations.
期刊最新文献
A critical (theory) data literacy: tales from the field Toward a new framework for teaching algorithmic literacy Promoting students’ informal inferential reasoning through arts-integrated data literacy education The data awareness framework as part of data literacies in K-12 education Learning experience network analysis for design-based research
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