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Ferns, Sonia; Phatak, Aloke; Benson, Susan; Kumagai, Nina – Teaching Statistics: An International Journal for Teachers, 2021
In the contemporary workplace, data scientists who are capable of interdisciplinary collaboration are in high demand. Universities need to provide data science students with a plethora of learning opportunities that involve collaboration in interdisciplinary contexts and engagement with industry partners. Curtin University and Lab Tests Online…
Descriptors: Employment Potential, Data, Statistics Education, Interdisciplinary Approach
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Kitto, Kirsty; Lupton, Mandy; Davis, Kate; Waters, Zak – Australasian Journal of Educational Technology, 2017
Despite a narrative that sees learning analytics (LA) as a field that aims to enhance student learning, few student-facing solutions have emerged. This can make it difficult for educators to imagine how data can be used in the classroom, and in turn diminishes the promise of LA as an enabler for encouraging important skills such as sense-making,…
Descriptors: Curriculum Design, Design Requirements, Student Records, Data