Tag Archives: machine learning
Enclouding education
Cloud computing underpins the contemporary digital landscape of online services and platforms. In education, cloud systems make it possible for many educational technologies to function and scale, and are increasingly present in institutions as back-end infrastructure for running digital services … Continue reading
The social life of Artificial Intelligence in education
Ben Williamson Artificial Intelligence (AI) has become the subject of both hype and horror in education. During the 2020 Covid-19 pandemic, AI in education (AIed) attracted serious investor interest, market speculation, and enthusiastic technofuturist predictions. At the same time, algorithms … Continue reading
The Nudge Unit, data science and experimental education
Ben Williamson The UK government’s Behavioural Insights Team has announced it has been experimenting with data science methods in school inspections. In partnership with the Office for Standards in Education (Ofsted), it has designed machine learning algorithms to predict and rate … Continue reading
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Tagged algorithms, behavioural science, data science, government, machine learning, nudge unit
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Learning machines
Ben Williamson When educators talk about theories of learning they are normally referring to psychological conceptions of human cognition and thinking. Current trends in machine learning, data analytics, deep learning, and artificial intelligence, however, complicate human-centred psychological accounts about learning. Today’s … Continue reading
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Tagged algorithms, artificial intelligence, big data, data analytics, machine learning, personalized learning
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Imaginaries and materialities of education data science
Image: The .edu Ocunet, by Tim Beckhardt Ben Williamson This is a talk I presented at the Nordic Educational Research Association conference at Aalborg University, Copenhagen, on 23 March 2017. Education is currently being reimagined for the future. In 2016, the online … Continue reading
Critical questions for big data in education
Ben Williamson Image: https://flic.kr/p/bnZvFX Big data has arrived in education. Educational data science, learning analytics, computer adaptive testing, assessment analytics, educational data mining, adaptive learning platforms, new cognitive systems for learning and even educational applications based on artificial intelligence are … Continue reading
Artificial intelligence, cognitive systems and biosocial spaces of education
By Ben Williamson Image: telephone cable model of corpus callosum by Brewbooks Recently, new ideas about ‘artificial intelligence’ and ‘cognitive computing systems’ in education have been advanced by major computing and educational businesses. How might these ideas and the technical … Continue reading
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Tagged algorithms, analytics, artificial intelligence, big data, cognitive computing, data, IBM, machine learning, neuroeducation, neuroscience, Pearson
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Brain/code/space
Ben Williamson In a new article published in Information, Communication & Society I aim to make some sense of how machine learning algorithms and new forms of ‘brain-inspired’ computing are being imagined for use in education. In particular, the article … Continue reading
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Tagged algorithms, big data, code, data, educational technology, learning analytics, machine learning, smart cities
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Educating smart cities
Ben Williamson Computer code and digital data have become powerful influences in the social organization and governance of education. At the same time, cities are being reconceived as composed of code, driven by data, and made ‘smart’, ‘programmable’ or even … Continue reading
Computing brains: neuroscience, machine intelligence and big data in the cognitive classroom
By Ben Williamson The human brain has become a major topic in education. The field of educational neuroscience, or neuroeducation, is flourishing. At the same time, a number of initiatives based in computer science departments and major technology companies are … Continue reading
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Tagged big data, machine intelligence, machine learning, neuroeducation, neuroscience
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code acts in education 