Ben Williamson is a Chancellor’s Fellow at the Centre for Research in Digital Education and the Edinburgh Futures Institute at the University of Edinburgh. His research traces the connections between educational policy, digital technologies, and practices in schools and universities. He is the author of Big Data in Education: The digital future of learning, policy and practice (Sage, 2017) and over 30 research articles and chapters. Recent research topics include data analytics and algorithmic decision-making in education policy, coding in schools, behavioural apps and ‘social-emotional learning’ measurement, and the development of performance metrics in the schools and HE sectors. He is especially interested in examining how digital technologies and data are brought into education policy and practice through the involvement of policy networks of government agencies, think tanks, consultancies, policy labs and software companies. His current projects focus on ‘intimate data’ generated from students’ bodies through wearable biometrics, educational genomics, and neurotechnologies, and on the ‘data infrastructures of higher education’ that are required for performance measurement of universities. On Twitter he is @BenPatrickWill, or you can contact Ben via https://www.de.ed.ac.uk/people/dr-ben-williamson
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Recent Posts
- Enclouding education
- How Amazon operates in education
- New biological realities in the genetics of education
- Google magic
- PISA for machine learners
- Counting learning losses
- Nudging assets
- New biological data and knowledge in education
- Breaking open the black box of edtech brokers
- Valuing futures
- Edtech sci-fi
- Pandemic privatization and digitalization in higher education
- New financial actors and valuation platforms in education technology markets
- The rise of data-intensive biology in education – a new project!
- Higher education platforms and cloud infrastructures in the ‘dataist state’
- Digital data and the post-pandemic university
- Edtech index investing
- The social life of Artificial Intelligence in education
- The evolution of the global education industry during the pandemic
- Datafication and automation in higher education during and after the Covid-19 crisis
- Edtech, coronavirus, and commercialization in public education
- New pandemic edtech power networks
- Emergency edtech
- Re-engineering education
- Platform teachers
- Psychodata
- EdTech Resistance
- Automating mistrust
- Learning from surveillance capitalism
- Education for the robot economy
- Learning lessons from data controversies
- The app store for higher education
- The mutating metric machinery of higher education
- The tech elite is making a power-grab for public education
- Genetics, big data science, and postgenomic education research
- Edu-business as usual—market-making in higher education
- Comments on ClassDojo controversy
- The Office for Students as the data scientist of the higher education sector
- Personalized precision education and intimate data analytics
- Learning from psychographic personality profiling
- 10 definitions of datafication (in education)
- Globalizing education standards with ISO 21001
- PISA for personality testing – the OECD and the psychometric science of social-emotional skills
- Mapping the data infrastructure of market reform in higher education
- The Nudge Unit, data science and experimental education
- Big Data in Education book launch
- Learning machines
- Fast psycho-policy & the datafication of social-emotional learning
- Coding for what? Lessons from computing in the curriculum
- ClassDojo app takes mindfulness to scale in public education
- Brain data, neurotechnology and education
- Imaginaries and materialities of education data science
- Psychological surveillance and psycho-informatics in the classroom
- Algorithms in the news–why digital media literacy matters
- Fast policy networks in the construction of the computing curriculum
- Social media and public pedagogies of political mis-education
- Pearson, IBM Watson and cognitive enhancement technologies in education
- Assembling ClassDojo
- Super-fast education policy fantasies
- Performing data
- Critical questions for big data in education
- Artificial intelligence, cognitive systems and biosocial spaces of education
- Brain/code/space
- Intimate analytics
- Educating Silicon Valley
- Decoding ClassDojo
- Free schools and computing skills
- Who owns educational theory? Pearson, big data and the ‘theory gap’
- Digital governance of education
- Who is benefiting most from computer coding being part of the National Curriculum?
- Education and the big data imaginary
- Educating smart cities
- Code capitals–following #edtechuk
- Testing governance: the laboratory lives and methods of policy innovation labs
- Smarter, crowdsourced, super startup schools
- Coding/Learning – free e-book
- The digital methods and imagination of innovation labs
- Anatomizing the body, emotions and brain of the data-child
- Programmable pedagogies of policy learning
- Digital education policy: big data, visualization and real-time analytics
- What do robots eat? Data diets and hungry algorithms
- The laboratory life of innovation labs
- Testing government: policy labs and political experimentation
- Cultures of coding – BBC Micro Bits and Young Digital Makers
- Educational data, digital policy instruments and policy labs
- Programmable schools? Governing education through code in the smart city
- Digital knowledge infrastructures in education
- Computing brains: neuroscience, machine intelligence and big data in the cognitive classroom
- Smart schools in sentient cities – learning with machines that learn
- Abstracting Learning Analytics
- A hidden computing curriculum? How ‘learning to code’ campaigns and edtech industry helped shape school policy
- Organizing algorithms in digitally mediated education
- Knowing subjects – data-driven perspectives on education
- Frankensteining monstrous school data
- Sensing learners as data gathering nodes in smart schools
- Coding as socio-digital practice(s): The example of data visualization
- Education as a calculated public
- Software code and data systems in education
- Policy labs, sociable governance and smart software
- Educational Code/Space
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