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Educational data brokers: using the walkthrough method to identify data brokering by edtech platforms 教育数据代理:使用演练方法识别教育技术平台的数据代理
IF 6.9 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-01-05 DOI: 10.1080/17439884.2022.2160986
J. Arantes
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引用次数: 0
Taking play and tinkering seriously in AI education: cases from Drag vs AI teen workshops 在AI教育中认真对待游戏和修补:来自Drag vs AI青少年研讨会的案例
IF 6.9 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-01-05 DOI: 10.1080/17439884.2022.2164300
Joan H Ruppert, Diego Velazquez-Ramos, Ricarose Roque, R. B. Shapiro
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引用次数: 1
Digital degrowth: toward radically sustainable education technology 数字去增长:走向彻底可持续的教育技术
IF 6.9 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-01-02 DOI: 10.1080/17439884.2022.2159978
N. Selwyn
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引用次数: 7
AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development AI炒作?教育中人工智能(AIED)及其发展话语的视域扫描
IF 6.9 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-01-02 DOI: 10.1080/17439884.2022.2095568
Selena Nemorin, A. Vlachidis, H. M. Ayerakwa, Panagiotis Andriotis
ABSTRACT The study seeks to understand how the AI ecosystem might be implicated in a form of knowledge production which reifies particular kinds of epistemologies over others. Using text mining and thematic analysis, this paper offers a horizon scan of the key themes that have emerged over the past few years during the AIEd debate. We begin with a discussion of the tools we used to experiment with digital methods for data collection and analysis. This paper then examines how AI in education systems are being conceived, hyped, and potentially deployed into global education contexts. Findings are categorised into three themes in the discourse: (1) geopolitical dominance through education and technological innovation; (2) creation and expansion of market niches, and (3) managing narratives, perceptions, and norms.
本研究旨在了解人工智能生态系统如何涉及到一种知识生产形式,这种知识生产形式具体化了特定种类的认识论。本文使用文本挖掘和主题分析,对过去几年AIEd辩论中出现的关键主题进行了横向扫描。我们首先讨论我们用来实验数据收集和分析的数字方法的工具。然后,本文研究了教育系统中的人工智能是如何被构思、炒作和潜在地部署到全球教育环境中的。研究结果在论述中分为三个主题:(1)通过教育和技术创新获得地缘政治优势;(2)创造和扩大市场利基;(3)管理叙事、观念和规范。
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引用次数: 24
Re-examining AI, automation and datafication in education 重新审视教育中的人工智能、自动化和数据化
IF 6.9 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-01-02 DOI: 10.1080/17439884.2023.2167830
Ben Williamson, Felicitas Macgilchrist, J. Potter
for
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引用次数: 21
The construction of legitimacy: a critical discourse analysis of the rhetoric of educational technology in post-pandemic higher education 合法性的建构:大流行后高等教育教育技术修辞的批判性话语分析
IF 6.9 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-01-02 DOI: 10.1080/17439884.2022.2163500
Daniel E. Clark
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引用次数: 3
Valuable data? Using walkthrough methods to understand the impact of digital reading platforms in Australian primary schools 有价值的数据吗?使用演练方法了解数字阅读平台对澳大利亚小学的影响
IF 6.9 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2022-12-25 DOI: 10.1080/17439884.2022.2160458
Tiffani Apps, Karley Beckman, S. Howard
ABSTRACT This paper critically examines the design and impact of two commonly used education platforms for reading, PM eCollection and Epic. Framed by a data justice lens, the study employs a walkthrough methodology to examine the ways each platform (re)configures teaching and learning practice, and more broadly schooling. The study extends the method by engaging three primary school teachers in the walkthrough process embedded in their practice. Findings demonstrate significant asymmetries in the value derived from the data practices of the digital reading platforms by teachers, schools and EduTech companies. While of limited value in teacher’s practice, the use of the digital platforms and data has implications for the way reading is represented, students are made visible and treatment of teachers, students and families.
本文批判性地考察了两种常用的阅读教育平台PM eCollection和Epic的设计和影响。在数据公正的框架下,该研究采用了一种演练方法来检查每个平台(重新)配置教学和学习实践以及更广泛的学校教育的方式。本研究通过让三位小学教师参与到他们的实践中来扩展该方法。研究结果表明,教师、学校和教育科技公司从数字阅读平台的数据实践中获得的价值存在显著的不对称。虽然在教师实践中价值有限,但数字平台和数据的使用对阅读的表现方式、学生的可见性以及对教师、学生和家庭的对待都有影响。
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引用次数: 1
Technical agonism: embracing democratic dissensus in the datafication of education 技术斗争:在教育数据化中接受民主异议
IF 6.9 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2022-12-22 DOI: 10.1080/17439884.2022.2160987
J. Holloway, S. Lewis, Sarah Langman
ABSTRACT This paper interrogates whether technical democracy is well-suited to contend with possible technical controversies, including the increasing prevalence of EdTech in public schooling. Drawing across Habermasian ‘deliberative democracy’ that seeks consensus-derived resolution, as well as more agonistic approaches that embrace conflict as the means for pursuing pluralistic values, we use this paper to problematise technical democracy for its potential to produce agonistic and pluralistic im/possibilities. Drawing on case studies developed from our previous research into digital platforms and infrastructures, we consider what an alternative to technical democracy might offer towards realising democratic ideals through what we call technical agonism. Using these thinking tools, we argue that a move towards technical agonism would centre dissension and scepticism as fundamental features of liberal democratic institutions, while also providing opportunities for schooling to be reimagined in ways that are more democratic and ethical.
本文探讨技术民主是否适合应对可能出现的技术争议,包括在公立学校日益普及的教育技术。借鉴哈贝马斯的“协商民主”,寻求共识衍生的解决方案,以及更多的对抗方法,将冲突作为追求多元价值的手段,我们用这篇论文来质疑技术民主,因为它有可能产生对抗和多元的可能性。根据我们之前对数字平台和基础设施的研究中开发的案例研究,我们考虑了技术民主的替代方案可能通过我们所谓的技术斗争来实现民主理想。利用这些思维工具,我们认为,向技术斗争的转变将把分歧和怀疑作为自由民主制度的基本特征,同时也为以更民主和道德的方式重新构想学校教育提供了机会。
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引用次数: 0
(Re)politicising data-driven education: from ethical principles to radical participation (重新)将数据驱动型教育政治化:从伦理原则到激进参与
IF 6.9 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2022-12-21 DOI: 10.1080/17439884.2022.2158466
Jeremy Knox
ABSTRACT This paper examines ways in which the ethics of data-driven technologies might be (re)politicised, particularly where educational institutions are involved. The recent proliferation of principles, guidelines, and frameworks for ethical ‘AI’ (artificial intelligence) have emerged from a plethora of organisations in recent years, and seem poised to impact educational governance. This trend will be firstly shown to align with a narrow form of ethics - deontology - and overlook other potential ways ethical reasoning might contribute to thinking about ‘AI’. Secondly, the attention to ethical principles will be suggested to focus excessively on the technology itself, with the effect of masking political concerns for equity and justice. Thirdly and finally, the paper will propose a more radical form of participation in ethical decision-making that not only challenges the assumption of universal consensus, but also draws more authentically on the capacities for debate, contestation, and exchange inherent in the educational institution.
本文探讨了数据驱动技术的伦理可能(重新)政治化的方式,特别是在涉及教育机构的情况下。近年来,伦理“AI”(人工智能)的原则、指导方针和框架在众多组织中涌现,似乎有望影响教育治理。这一趋势将首先与一种狭义的伦理形式——义务论——相一致,并忽视了伦理推理可能有助于思考“人工智能”的其他潜在方式。其次,对伦理原则的关注会被建议过度关注技术本身,从而掩盖了对公平和正义的政治关注。第三,也是最后,本文将提出一种更激进的参与伦理决策的形式,不仅挑战普遍共识的假设,而且更真实地利用教育机构固有的辩论、争论和交流能力。
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引用次数: 3
Who controls children’s education data? A socio-legal analysis of the UK governance regimes for schools and EdTech 谁控制着孩子们的教育数据?英国学校和教育技术管理制度的社会-法律分析
IF 6.9 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2022-12-20 DOI: 10.1080/17439884.2022.2152838
Emma Day, Kruakae Pothong, A. Atabey, S. Livingstone
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引用次数: 2
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