Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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    What is educational about a climate emergency?
    (SAGE Publications, 2025-10-02) Carusi FT
    Education research has been increasingly concerned about the role of instrumentalism in defining education. Within the context of the climate emergency, conceiving of education instrumentally positions educated subjects as actors capable of minimising the effects of climate change. This article is not critical of actions that mitigate the climate emergency. However, within the research that resists the instrumentalization of education, the climate emergency requires a status different from its role as an end that orients the content and practices of education. By asking what is educational about the climate emergency, this article focuses on the emergence rather than the urgency of climate change as a way for education to carry on as the climate emergency continues to present unforeseen challenges of living together. The article concludes with the irreducibility of conflict to an emergent understanding of the educational, a feature that commits education to an incomplete and porous world.
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    Book Review: Bayesian Statistics the Fun Way: Understanding Statistics and Probability With Star Wars, Lego, and Rubber Ducks
    (Frontiers Media, 15/01/2020) Perezgonzalez J
    Bayesian Statistics the Fun Way is an engaging introduction to Bayesian inference by Kurt (2019). His main goal of producing “a book on Bayesian statistics that really anyone could pick up and use to gain real intuitions for how to think statistically and solve real problems using statistics” (Carrone, 2019) is certainly achieved. Indeed, the book introduces Bayesian methods in a clear and concise manner, without assuming prior statistical knowledge and, for the most part, eschewing formulations. It explores Bayesian inference in a very intuitive way and with engaging examples—from UFOs to conspiracy theorists, via Lego, crime scenes, Start Wars, email click baits, and funfair rubber ducks—and constrains itself well enough for readers to start applying Bayesian inference from the word go.