Core
Knox, J. 2015. Algorithmic Cultures. Excerpt from Critical Education and Digital Cultures. In Encyclopedia of Educational Philosophy and Theory. M. A. Peters (ed.). DOI 10.1007/978-981-287-532-7_124-1
Kithcin, R. 2017. Thinking Critically about Researching Algorithms. Information, Communication & Society, 20:1, 14-29, DOI: 10.1080/1369118X.2016.1154087
Williamson, B. 2017. Introduction: Learning machines, digital data and the future of education (chapter 1). In Big Data and Education: the digital future of learning, policy, and practice. Sage. Access the ebook version here (Ease login required)
Knox, J., Williamson, B. & Bayne, S. 2020. Machine behaviourism: future visions of ‘learnification’ and ‘datafication’ across humans and digital technologies, Learning, Media and Technology, 45:1, 31-45, DOI: 10.1080/17439884.2019.1623251
Secondary
Bayne, S., Evans, P., Ewins, R., Knox, J., Lamb, J., Macleod, H., O’Shea, C., Ross, J., Sheail, P., Sinclair, C. (2019 DRAFT). The Manifesto for Teaching Online.
For the core reading this block, you only need to read the following two sections:
Section 13. Algorithms and analytics re-code education: pay attention! pages 59-62
Section 14. Automation need not impoverish education: we welcome our new robot colleagues. pages 63-67
Our book is currently in draft form and is currently going through the publishing process with MIT Press therefore we ask you not to share this draft beyond the EDC group. If you do want to share the Manifesto, or simply want to learn more about how it has evolved, a separate journal article by members of our team was recently (December 2019) published.
Williamson, B. 2019. Automating mistrust. Code Acts in Education.
Beer, D. (2017) The social power of algorithms, Information, Communication & Society, 20:1, 1-13, DOI: 10.1080/1369118X.2016.1216147