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Smithers, Laura – Learning, Media and Technology, 2023
This article examines the work of predictive analytics in shaping the social worlds in which they thrive, and in particular the world of the first year of Great State University's student success initiative. Specifically, this article investigates the following research paradox: predictive analytics, as driven by a logic premised on predicting the…
Descriptors: Prediction, Learning Analytics, Academic Achievement, College Students
Thompson, Terrie Lynn; Prinsloo, Paul – Learning, Media and Technology, 2023
Learning analytics offer centralization of a particular understanding of learning, teaching, and student support alongside data-informed insight and foresight. As such, student-related data in higher education can be imagined and enacted as a 'data frontier' in which the data gaze is expanding, intensifying, and performing new meanings and…
Descriptors: Learning Analytics, Data, Activism, Higher Education
Robinson, Bradley – Learning, Media and Technology, 2023
Emerging scholarship has brought critical attention to the increasing influence of digital platform architectures on learning across disciplines and contexts. Allied with such scholarship, this study examines how the logics of social media platforms create the conditions for new formations of literacy to emerge at the intersection of digital…
Descriptors: Electronic Learning, Video Games, Social Media, Literacy
Karmijn van de Oudeweetering; Jeremy Knox; Mathias Decuypere – Learning, Media and Technology, 2024
This paper examines the enactment of feedback in Massive Open Online Courses (MOOCs), focusing on analytics dashboards. Building on scholarship that recognizes data practices as entangled and 'messy', the paper problematizes the model of the feedback loop that assumes that analytics dashboards 'feed back' data to instructors and/or learners…
Descriptors: MOOCs, Learning Analytics, Instructional Design, Student Role

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