Gender as a predictive factor for tasks completed using smartphones

Evans, Mark; Hopper, Susan; Knezek, Gerald A.; Jones, Greg
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http://hdl.handle.net/2142/36048

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Title:Gender as a predictive factor for tasks completed using smartphones
Author(s):Evans, Mark; Hopper, Susan; Knezek, Gerald A.; Jones, Greg
Subject(s):Gender
Smartphones
College students
Information behavior
Social networking
Abstract:Smartphone usage among college students is growing. The prevalence of these devices in every aspect of student routines presents the research problem: how will smartphone usage affect how college students manage their coursework? To address this research problem, we conducted a pilot study examining the current level of smartphone usage among college students. A distinct battery of questions were created and posted to an online survey. Forty-two undergraduate students who own and use smartphones participated. Survey questions focused on how frequently students utilized specific smartphone functions to complete class-related tasks. This paper applies a quantitative analysis to this specific battery of questions in an effort to address the research question: 1) Is gender a significant factor in determining the frequency with which smartphones are used to complete informal learning tasks?
Issue Date:2013-02
Publisher:iSchools
Citation Info:Evans, M., Hopper, S., Jones, G., & Knezek, G. (2013). Gender as a predictive factor for tasks completed using smartphones. iConference 2013 Proceedings (pp. 50-53). doi:10.9776/13135
Genre:Conference Paper / Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/36048
DOI:https://doi.org/10.9776/13135
Publication Status:published or submitted for publication
Peer Reviewed:is peer reviewed
Rights Information:Copyright © 2013 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2013-01-28


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