Titlebook: Ethics and the Scholarship of Teaching and Learning; Lisa M. Fedoruk Book 2022 The Editor(s) (if applicable) and The Author(s), under excl

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https://doi.org/10.1007/978-1-4419-0522-2nalytics: Cluster analysis and the ‘performance’ of algorithmic education. ., 43(1), 3–16. .; Piety, P., Hickey, D. & Bishop, M. (2014). Educational data sciences: Framing emergent practices for analytics of learning, organizations and systems. In LAK’14: . (pp. 193–202). .). While data mining and l

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https://doi.org/10.1007/978-0-387-35300-5archer can often feel confusing and confounding, and navigating the ethical implications of this can create a sense of liminality. This chapter offers an alternative hermeneutic reading of the ethical review process as a metaphorical monster that arises in ., helping us recast familiar categories in

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