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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
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
Baudino, Frank, Ed.; Johnson, Carolyn, Ed.; Meneely, Becky, Ed.; Young, Natasha, Ed. – Online Submission, 2019
Twelve scholarly papers and eighteen abstracts comprise the content of the nineteenth annual Brick & Click Libraries Conference, held annually at Northwest Missouri State University in Maryville, Missouri. The proceedings, authored by academic librarians and presented at the conference, portray the contemporary and future face of…
Descriptors: Academic Libraries, Individualized Instruction, Student Empowerment, Evaluation

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