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Showing 1 to 15 of 494 results Save | Export
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Brown, Michael; Rodríguez, Noreen Naseem; Updegraff, Amy – Learning, Media and Technology, 2023
The curriculum marketplace Teachers Pay Teachers (TPT) claims that 85% of educators in the United States use the site. Despite substantial evidence that TPT offers low quality materials, little research has explored the impact of TPT on curriculum-making. We analyze 76 TPT seller sites from assignments submitted by teacher candidates in an…
Descriptors: Teacher Collaboration, Curriculum Development, Teacher Developed Materials, Assignments
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Arantes, Janine Aldous; Vicars, Mark – Learning, Media and Technology, 2023
In the recent Australian 2021 census, the socio-technical construct of algorithmically driven decision-making processes made LGBTQI+ data as a category of diversity, inclusion and belonging an absent presence. In this paper, we position the notion of 'data justice' in relation to the entrenchment of inequalities and exclusion of LGBTQI+ lives and…
Descriptors: Foreign Countries, Homosexuality, LGBTQ People, Data
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Swist, Teresa; Humphry, Justine; Gulson, Kalervo N. – Learning, Media and Technology, 2023
There is a broad impetus across policy and institutional domains to expand public engagement and involvement with emerging technology research and innovation. Yet innovative theory, methods, and practices to critically explore algorithmic system controversies and democratic possibilities are still in nascent form. In this paper, we bring together…
Descriptors: Algorithms, Data Analysis, Democracy, Design
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Farrow, Robert – Learning, Media and Technology, 2023
Explicable AI in education (XAIED) has been proposed as a way to improve trust and ethical practice in algorithmic education. Based on a critical review of the literature, this paper argues that XAI should be understood as part of a wider socio-technical turn in AI. The socio-technical perspective indicates that explicability is a relative term.…
Descriptors: Artificial Intelligence, Algorithms, Computer Uses in Education, Language Usage
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Jiang, Shiyan; Tang, Hengtao; Tatar, Cansu; Rosé, Carolyn P.; Chao, Jie – Learning, Media and Technology, 2023
It's critical to foster artificial intelligence (AI) literacy for high school students, the first generation to grow up surrounded by AI, to understand working mechanism of data-driven AI technologies and critically evaluate automated decisions from predictive models. While efforts have been made to engage youth in understanding AI through…
Descriptors: Artificial Intelligence, High School Students, Models, Classification
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Stewart, Molly S.; Pier, Elizabeth; Ralyea, Dan; Rice, Andrew – Learning, Media and Technology, 2023
This paper examines the concept of open-source data interoperability in the United States' K-12 education domain, specifically addressing the implications of interoperability for data justice. The term 'data justice' is a relatively recent coinage; the framing and meaning of this term are still evolving, and it has not yet been applied in the…
Descriptors: Data, Standards, Information Management, Access to Information
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Horvath, Kenneth; Steinberg, Mario; Frei, Andrea Isabel – Learning, Media and Technology, 2023
The making of digital educational futures raises pressing social justice concerns. Against this background, scholars face the challenge of bridging the tasks of investigation and critical engagement. Inspired by French pragmatic sociology, this article presents the notion of "plural school worlds" as analytical anchor point for dealing…
Descriptors: Educational Change, Futures (of Society), Social Science Research, Politics
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Thompson, Greg; Gulson, Kalervo N.; Swist, Teresa; Witzenberger, Kevin – Learning, Media and Technology, 2023
The use of automated decision-making systems is increasing in education. While the potential impacts of ADM are becoming widely known amongst experts, the perspectives of those impacted by ADM remain peripheral. To broaden expertise and participation, this paper proposes that ADM needs to be considered as a sociotechnical controversy, as part of a…
Descriptors: Automation, Decision Making, Educational Technology, Democracy
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Perrotta, Carlo – Learning, Media and Technology, 2023
This article proposes a pragmatic approach to data justice in education that draws upon Nancy Fraser's theory. The main argument is premised on the theoretical and practical superiority of a deontological framework for addressing algorithmic bias and harms, compared to ethical guidelines. The purpose of a deontological framework is to enable the…
Descriptors: Data, Justice, Algorithms, Bias
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Brandau, Nina; Alirezabeigi, Samira – Learning, Media and Technology, 2023
Using Critical Design (CD) and Participatory Design (PD) as analytical and normative vantage points, this contribution reflects on how characteristics of both approaches can be useful for a reflective and inclusive engagement with educational technology in school development processes. Illustrating initial empirical findings from the research…
Descriptors: Educational Development, Educational Technology, Design, Participatory Research
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Knox, Jeremy – Learning, Media and Technology, 2023
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…
Descriptors: Ethics, Artificial Intelligence, Social Justice, Governance
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Holloway, Jessica; Lewis, Steven; Langman, Sarah – Learning, Media and Technology, 2023
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…
Descriptors: Educational Technology, Democracy, Public Schools, Electronic Learning
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Hillman, Velislava; Bryant, Jeff – Learning, Media and Technology, 2023
This paper addresses families' perceptions of corporate influence in career and technical education (CTE) through market-driven policies that enable data extraction for student profiling and seek to align K-12 education with business-driven needs. Aligning education with business needs can offer early employment, however, accelerating…
Descriptors: Family Attitudes, Corporations, Vocational Education, Data Collection
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Jordan, Katy – Learning, Media and Technology, 2023
The pursuit of greater research 'impact' has become embedded within Higher Education, through links to perceived value for money, and reified through institutional auditing processes. Academics are frequently encouraged to use social media to facilitate public engagement and enhance research impact, as it offers the potential to connect with more…
Descriptors: Faculty, Research, Interaction, Social Media
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Römer, Lucie; Supa, Markéta; Hodbod, Vojtech – Learning, Media and Technology, 2023
There has been active debate in recent years whether media literacy education can or even should nurture civic participation. Despite a growing number of theoretical and empirical studies, the question remains unanswered. This paper contributes to the debate with participatory action research conducted with vocational school students in the Czech…
Descriptors: Foreign Countries, Vocational Schools, Students, Disadvantaged Youth
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