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Teaching data analysis with interactive visual narratives

journal contribution
posted on 2016-09-22, 00:00 authored by Dilal SaundageDilal Saundage, Jacob CybulskiJacob Cybulski, S Keller, Lasitha DharmasenaLasitha Dharmasena
Data analysis is a major part of business analytics (BA), which refers to the skills, methods, and technologies that enable managers to make swift, quality decisions based on large amounts of data. BA has become a major component of Information Systems (IS) courses all over the world. The challenge for IS educators is to teach data analysis – the foundational BA concepts – to early years undergraduate students who commonly have an aversion to statistics as well as poor problem-solving skills. This article describes the development and evaluation of a learning intervention, Interactive Visual Narratives (IVN), which is informed by previous research into the efficacy of interaction, visualization, and narratives across a variety of learning contexts. The results suggest that a combination of interactive visualizations and narratives can improve the acquisition of data analysis knowledge, facilitate essential skills in problem analysis and the application of BA solutions, and enhance student engagement. These findings provide useful insights for improving students’ learning outcomes and engagement.

History

Journal

Journal of information systems education

Volume

27

Issue

4

Season

Fall

Pagination

233 - 247

Publisher

Journal of Information Systems Education

Location

Boone, N.C.

ISSN

1055-3096

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2016, Journal of Information Systems Education

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