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Visualization of Twitter Data in the Classroom.

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Title: Visualization of Twitter Data in the Classroom.
Authors: Sigman, Betsy Page1 bps@georgetown.edu, Garr, William2 wjg8@georgetown.edu, Pongsajapan, Robert2 rap42@georgetown.edu, Selvanadin, Marie2 mks49@georgetown.edu, McWilliams, Mindy2 mcwillie@georgetown.edu, Bolling, Kristin3 klb235@georgetown.edu
Source: Decision Sciences Journal of Innovative Education. Oct2016, Vol. 14 Issue 4, p362-381. 20p.
Subject Terms: *Social media in education, *Internet in education, *Data analysis, Big data, Data visualization
Reviews & Products: Twitter (Web resource)
Abstract: ABSTRACT 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. [ABSTRACT FROM AUTHOR]
Copyright of Decision Sciences Journal of Innovative Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Visualization of Twitter Data in the Classroom.
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  Data: <searchLink fieldCode="AR" term="%22Sigman%2C+Betsy+Page%22">Sigman, Betsy Page</searchLink><relatesTo>1</relatesTo><i> bps@georgetown.edu</i><br /><searchLink fieldCode="AR" term="%22Garr%2C+William%22">Garr, William</searchLink><relatesTo>2</relatesTo><i> wjg8@georgetown.edu</i><br /><searchLink fieldCode="AR" term="%22Pongsajapan%2C+Robert%22">Pongsajapan, Robert</searchLink><relatesTo>2</relatesTo><i> rap42@georgetown.edu</i><br /><searchLink fieldCode="AR" term="%22Selvanadin%2C+Marie%22">Selvanadin, Marie</searchLink><relatesTo>2</relatesTo><i> mks49@georgetown.edu</i><br /><searchLink fieldCode="AR" term="%22McWilliams%2C+Mindy%22">McWilliams, Mindy</searchLink><relatesTo>2</relatesTo><i> mcwillie@georgetown.edu</i><br /><searchLink fieldCode="AR" term="%22Bolling%2C+Kristin%22">Bolling, Kristin</searchLink><relatesTo>3</relatesTo><i> klb235@georgetown.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Decision+Sciences+Journal+of+Innovative+Education%22">Decision Sciences Journal of Innovative Education</searchLink>. Oct2016, Vol. 14 Issue 4, p362-381. 20p.
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  Data: *<searchLink fieldCode="DE" term="%22Social+media+in+education%22">Social media in education</searchLink><br />*<searchLink fieldCode="DE" term="%22Internet+in+education%22">Internet in education</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Data+visualization%22">Data visualization</searchLink>
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  Data: <searchLink fieldCode="PS" term="%22Twitter+%28Web+resource%29%22">Twitter (Web resource)</searchLink>
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  Data: ABSTRACT 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Decision Sciences Journal of Innovative Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=118834965
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        Value: 10.1111/dsji.12108
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        Text: English
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        PageCount: 20
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      – SubjectFull: Social media in education
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      – SubjectFull: Internet in education
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      – SubjectFull: Data analysis
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      – SubjectFull: Data visualization
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      – SubjectFull: Twitter (Web resource)
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              Text: Oct2016
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