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Research Associate
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Tracie Farrell is a research associate working with the Web Science research group at KMi. Her current research interests include the impact of new technologies on society and culture, in particular, the opportunities and challenges presented by communication and interaction at scale. Her research interests include epistemology, metacognition, self-regulated learning, technology-enhanced learning and digital pedagogy. Before starting her PhD, Tracie worked for 18 years in the non-formal education sector on issues related to human rights, leadership and citizenship.

Keys: metacognition, epistemology, self-regulated learning, analytics for learning

Projects

Co-Inform

Technologies

ARIA/ Go March

News

14 Nov 2019


11 Jul 2019


11 Jun 2019


15 Oct 2018


06 Aug 2018

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Publications

Publications | Visit External Site for Details  

Farrell, T., Fernandez, M., Novotny, J. and Alani, H. (2019) Exploring Misogyny across the Manosphere in Reddit, WebSci19, Boston

Publications | Visit External Site for Details  

Farrell, T., Piccolo, L., Perfumi, S. and Alani, H. (2019) Understanding the Role of Human Values in the Spread of Misinformation, Truth and Trust Online, London, UK

Publications | Visit External Site for Details Publications | doi 

Lange, P., Göschlberger, B., Farrell, T., Neumann, A. and Klamma, R. (2019) Decentralized Learning Infrastructures for Community Knowledge Building Decentralized Learning Infrastructures for Community Knowledge Building, pp. (Early Access)

Publications | Visit External Site for Details  
Publications | Visit External Site for Details  

Lange, P., Göschlberger, B., Farrell, T. and Klamma, R. (2018) A Microservice Infrastructure for Distributed Communities of Practice, 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK

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Jobs

Marie Curie Early Stage Researcher

Knowledge Media Institute (KMi)
£45,463 per year plus allowances
Based in Milton Keynes
Full-time, Fixed-term contract for 36 months

The Knowledge Media Institute invites applications for an Early Stage Researcher to work in the area of bias in Artificial Intelligence. The researcher will work within the interdisciplinary...

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The Open University
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