A Storied Approach to Learning Data Analytics in a Graduate Data Analytics Program

A Storied Approach to Learning Data Analytics in a Graduate Data Analytics Program

Brandon Vaughn
ISBN13: 9781799896449|ISBN10: 1799896447|ISBN13 Softcover: 9781799896456|EISBN13: 9781799896463
DOI: 10.4018/978-1-7998-9644-9.ch009
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MLA

Vaughn, Brandon. "A Storied Approach to Learning Data Analytics in a Graduate Data Analytics Program." Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan, edited by Goran Trajkovski, et al., IGI Global, 2022, pp. 176-192. https://doi.org/10.4018/978-1-7998-9644-9.ch009

APA

Vaughn, B. (2022). A Storied Approach to Learning Data Analytics in a Graduate Data Analytics Program. In G. Trajkovski, M. Demeter, & H. Hayes (Eds.), Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan (pp. 176-192). IGI Global. https://doi.org/10.4018/978-1-7998-9644-9.ch009

Chicago

Vaughn, Brandon. "A Storied Approach to Learning Data Analytics in a Graduate Data Analytics Program." In Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan, edited by Goran Trajkovski, Marylee Demeter, and Heather Hayes, 176-192. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-9644-9.ch009

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Abstract

This study considers the construction and application of a storied approach to teaching graduate level data analytics. Although some research stresses replacing traditional lectures with more active learning methods, the approach of this study is to construct an entire data analytics program around a “story” idea of active learning and projects. The results of this study indicate that such a storied approach to learning not only improves student cognition of course material, but student morale as well. An instructional approach that combines active-learning activities in a progressive, storied approach appears to be a better approach than traditional lecturing alone for teaching graduate-level students.

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