References
- Almond, R. G., R. J. Mislevy, L. S. Steinberg, D. Yan, and D. M. Williamson. 2015. Bayesian Networks in Educational Assessment. New York, NY: Springer.
- Arendt, H. 1958. The Human Condition. Chicago, IL: University of Chicago Press.
- Baker, R. S. J. D., A. T. Corbett, and V. Aleven. 2008. “More Accurate Student Modeling Through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing.” In Intelligent Tutoring Systems (Vol. 5091), edited by B. P. Woolf, E. Aïmeur, R. Nkambou, and S. Lajoie, 406–415. Berlin/Heidelberg: Springer. http://link.springer.com/10.1007/978-3-540-69132-7_44.
- Bayes, T. 1763. “An Essay Towards Solving a Problem in the Doctrine of Chances.” MD Computing: Computers in Medical Practice 8 (3): 157.
- BayesFusion, LLC | GeNIe Modeler. n.d. BayesFusion, LLC. https://www.bayesfusion.com/genie-modeler.
- Berger, J. 1972. Ways of Seeing. Vol. 1. London: Penguin UK.
- Bhargava, R., E. Deahl, E. Letouzé, A. Noonan, D. Sangokoya, and N. Shoup. 2015. “Beyond Data Literacy: Reinventing Community Engagement and Empowerment in the Age of Data”. Data-Pop Alliance White Paper Series. Data-Pop Alliance (Harvard Humanitarian Initiative, MIT Lad and Overseas Development Institute) and Internews.
- Bhargava, R., and C. D’Ignazio. 2015. “Designing Tools and Activities for Data Literacy Learners.” Workshop on Data Literacy, Webscience.
- Biesta, G. J. J. 2015. Good Education in an Age of Measurement: Ethics, Politics, Democracy. London: Routledge.
- Broughan, C., and P. Prinsloo. 2019. “(Re)Centring Students in Learning Analytics: In Conversation with Paulo Freire.” Assessment & Evaluation in Higher Education 0 (0): 1–12. doi:10.1080/02602938.2019.1679716.
- Bucher, T. 2018. If … Then: Algorithmic Power and Politics. New York: Oxford University Press.
- Buckingham-Shum, Simon, and Rebecca Ferguson. 2012. “Social Learning Analytics.” Journal of Educational Technology & Society 15 (3): 3–26.
- Bull, S., and J. Kay. 2013. “Open Learner Models as Drivers for Metacognitive Processes.” In International Handbook of Metacognition and Learning Technologies, edited by Roger Azevedo and Vincent Aleven, 349–365. New York: Springer.
- Butler, J., and G. Trouble. 1990. “Feminism and the Subversion of Identity.” Gender Trouble 3: 1–25.
- Conati, C., A. Gertner, and K. Vanlehn. 2002. “Using Bayesian Networks to Manage Uncertainty in Student Modeling.” User Modeling and User-Adapted Interaction 12 (4): 371–417.
- Conrady, S., and L. Jouffe. 2013. Introduction to Bayesian Networks & BayesiaLab. Franklin, TN: Bayesia SAS.
- Corbett, A. T., and J. R. Anderson. 1994. “Knowledge Tracing: Modeling the Acquisition of Procedural Knowledge.” User Modeling and User-Adapted Interaction 4 (4): 253–278.
- Cullinane, A., and M. Liston. 2016. “Review of the Leaving Certificate Biology Examination Papers (1999–2008) Using Bloom’s Taxonomy – An Investigation of the Cognitive Demands of the Examination.” Irish Educational Studies 35 (3): 249–267. doi:10.1080/03323315.2016.1192480.
- Darwiche, A. 2009. Modeling and Reasoning with Bayesian Networks. New York: Cambridge University Press.
- Darwiche, Adnan. 2010. “Bayesian networks.” Communications of the ACM 53 (12): 80–90. 10.1145/1859204.1859227.
- Elish, M. C., and D. Boyd. 2018. “Situating Methods in the Magic of Big Data and AI.” Communication Monographs 85 (1): 57–80.
- Foucault, M. 1975. Discipline and Punish. Translated from A. Sheridan. Paris: Gallimard.
- Freire, P. 1970. Pedagogy of the Oppressed. New York: Continuum. 125
- Goodfellow, Ian, Yoshua Bengio, and A. Courville. 2016. Deep Learning. http://www.deeplearningbook.org.
- Kant, I. 2013. An Answer to the Question: 'What is Enlightenment?’. London: Penguin UK.
- Kay, A. C. 1991. “Computers, Networks and Education.” Scientific American 265 (3): 138–149.
- Lash, S. 2002. Critique of Information. London: Sage.
- LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. 2015. “Deep learning.” Nature 521 (7553): 436–444. 10.1038/nature14539.
- Levinas, E., and P. Nemo. 1985. Ethics and Infinity.
- Luke, A. 2018. “Critical Literacy in Australia: A Matter of Context and Standpoint.” In Critical Literacy, Schooling, and Social Justice, edited by Allan Luke and John Elkins, 168–188. Delaware: Routledge.
- Madden, M. G. 2009. “On the Classification Performance of TAN and General Bayesian Networks.” Knowledge-Based Systems 22 (7): 489–495.
- Marx, K. 1867. Capital, Vol. 1: A Critique of Political Economy. New York: Vintage.
- McGrayne, S. B. 2011. The Theory That Would Not Die: How Bayes’ Rule Cracked the Enigma Code, Hunted Down Russian Submarines, & Emerged Triumphant From Two Centuries of Controversy. New Haven: Yale University Press.
- Pangrazio, Luciana. 2016. “Reconceptualising Critical Digital Literacy.” Discourse: Studies in the Cultural Politics of Education 37 (2): 163–174.
- Pangrazio, Luci, and Neil Selwyn. 2018. “‘Personal Data Literacies’: A Critical Literacies Approach to Enhancing Understandings of Personal Digital Data.” New Media & Society 21 (2): 419–437. 1461444818799523.
- Papert, S. 1980. Mindstorms: Children, Computers, and Powerful Ideas. New York: Basic Books, Inc.
- Papert, S., and I. Harel. 1991. “Situating Constructionism.” Constructionism 36 (2): 1–11.
- Pariser, E. 2011. The Filter Bubble: What the Internet is Hiding From you. New York: Penguin UK.
- Pearl, J. 1985. Bayesian Networks: A Model of Self-Activated Memory for Evidential Reasoning. Los Angeles: University of California (Computer Science Department).
- Pearl, J., and D. Mackenzie. 2018. The Book of Why: The New Science of Cause and Effect. New York: Basic Books.
- Prinsloo, P., and S. Slade. 2014. “Educational Triage in Open Distance Learning: Walking a Moral Tightrope.” The International Review of Research In Open And Distributed Learning 15 (4).
- Prinsloo, P., and S. Slade. 2017. “Big Data, Higher Education and Learning Analytics: Beyond Justice, Towards an Ethics of Care.” In Big Data and Learning Analytics in Higher Education, edited by B. K. Daniel, 109–124. Springer International Publishing. http://link.springer.com/10.1007/978-3-319-06520-5_8.
- Russell, S., and P. Norvig. 2009. Artificial Intelligence: A Modern Approach. 3rd ed. New Jersey: Prentice Hall.
- Schield, M. 2005. “Information Literacy, Statistical Literacy, Data Literacy.” IASSIST Quarterly 28 (2–3): 6–6.
- Siemens, G., and P. Long. 2011. Penetrating the Fog: Analytics in Learning and Education. http://er.educause.edu/articles/2011/9/penetrating-the-fog-analytics-in-learning-and-education.
- Williamson, B. 2017. Big Data in Education: The Digital Future of Learning, Policy and Practice. London: Sage.