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Algorithmic Futuring: Predictive Infrastructures of Valuation and Investment in the Assetization of Edtech

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Title: Algorithmic Futuring: Predictive Infrastructures of Valuation and Investment in the Assetization of Edtech
Language: English
Authors: Ben Williamson (ORCID 0000-0001-9356-3213), Carolina Valladares Celis (ORCID 0000-0003-3402-7992), Arathi Sriprakash (ORCID 0000-0003-3655-0605), Jessica Pykett (ORCID 0000-0002-0036-9639), Keri Facer (ORCID 0000-0002-4642-7806)
Source: Learning, Media and Technology. 2025 50(1):87-101.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 15
Publication Date: 2025
Document Type: Journal Articles
Reports - Evaluative
Descriptors: Algorithms, Prediction, Investment, Educational Technology, Futures (of Society), Educational Practices, Industry, Ambiguity (Context), Commercialization
DOI: 10.1080/17439884.2024.2435820
ISSN: 1743-9884
1743-9892
Abstract: Futures of education are increasingly defined through predictive technologies and methods. We conceptualize 'algorithmic futuring' as the use of data-driven digital methods and predictive infrastructures to anticipate educational futures and animate actions in the present towards their materialization. Specifically, we focus on algorithmic futuring in the education technology investment industry, and the role of predictive infrastructures of valuation and investment in the assetization of edtech. Edtech investment actors make predictions based on the calculated future asset value of digital technologies. Methods and narratives of algorithmic futuring produced through predictive infrastructures are intended to render an assetized future of education seemingly attractive, attainable, and actionable. Our analysis foregrounds three forms of algorithmic futuring practised by an edtech investment organization: "forecasting targets"; "managing uncertainty"; and "provoking assetization." Each has significant impacts on what futures are put into motion in the present, and exploit a gap in public investment in edtech futures.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1465238
Database: ERIC
FullText Text:
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  Data: Algorithmic Futuring: Predictive Infrastructures of Valuation and Investment in the Assetization of Edtech
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  Data: <searchLink fieldCode="AR" term="%22Ben+Williamson%22">Ben Williamson</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-9356-3213">0000-0001-9356-3213</externalLink>)<br /><searchLink fieldCode="AR" term="%22Carolina+Valladares+Celis%22">Carolina Valladares Celis</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-3402-7992">0000-0003-3402-7992</externalLink>)<br /><searchLink fieldCode="AR" term="%22Arathi+Sriprakash%22">Arathi Sriprakash</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-3655-0605">0000-0003-3655-0605</externalLink>)<br /><searchLink fieldCode="AR" term="%22Jessica+Pykett%22">Jessica Pykett</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-0036-9639">0000-0002-0036-9639</externalLink>)<br /><searchLink fieldCode="AR" term="%22Keri+Facer%22">Keri Facer</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-4642-7806">0000-0002-4642-7806</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Learning%2C+Media+and+Technology%22"><i>Learning, Media and Technology</i></searchLink>. 2025 50(1):87-101.
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  Data: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
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  Data: 10.1080/17439884.2024.2435820
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  Data: Futures of education are increasingly defined through predictive technologies and methods. We conceptualize 'algorithmic futuring' as the use of data-driven digital methods and predictive infrastructures to anticipate educational futures and animate actions in the present towards their materialization. Specifically, we focus on algorithmic futuring in the education technology investment industry, and the role of predictive infrastructures of valuation and investment in the assetization of edtech. Edtech investment actors make predictions based on the calculated future asset value of digital technologies. Methods and narratives of algorithmic futuring produced through predictive infrastructures are intended to render an assetized future of education seemingly attractive, attainable, and actionable. Our analysis foregrounds three forms of algorithmic futuring practised by an edtech investment organization: "forecasting targets"; "managing uncertainty"; and "provoking assetization." Each has significant impacts on what futures are put into motion in the present, and exploit a gap in public investment in edtech futures.
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