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Visualization of Twitter Data in the Classroom
Author(s) -
Sigman Betsy Page,
Garr William,
Pongsajapan Robert,
Selvanadin Marie,
McWilliams Mindy,
Bolling Kristin
Publication year - 2016
Publication title -
decision sciences journal of innovative education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 19
eISSN - 1540-4609
pISSN - 1540-4595
DOI - 10.1111/dsji.12108
Subject(s) - computer science , big data , set (abstract data type) , business analytics , visualization , analytics , data science , social media , business intelligence , data visualization , learning analytics , world wide web , multimedia , knowledge management , business model , business analysis , data mining , management , economics , programming language
The expression “big data” is ubiquitous in the business world today, but few undergraduate business students have the opportunity to gain practical experience with how new business analytics tools can be used in decision making. This article describes a set of hands‐on labs that prepare students to incorporate streaming data analysis into group research projects. Splunk is used to help students analyze and visualize streaming social media data. An evaluation of student projects and student survey results show that this practical approach of training students to manipulate and visualize big data was largely successful in achieving instructional goals.