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Computers in Human Behavior
Article
License: CC BY SA
Data sources: UnpayWall
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Computers in Human Behavior
Article . 2010
License: CC BY SA
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Computers in Human Behavior
Article . 2010 . Peer-reviewed
License: Elsevier TDM
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DBLP
Article . 2010
Data sources: DBLP
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Facebook® and academic performance

Authors: Paul A. Kirschner; Aryn C. Karpinski;

Facebook® and academic performance

Abstract

There is much talk of a change in modern youth - often referred to as digital natives or Homo Zappiens - with respect to their ability to simultaneously process multiple channels of information. In other words, kids today can multitask. Unfortunately for proponents of this position, there is much empirical documentation concerning the negative effects of attempting to simultaneously process different streams of information showing that such behavior leads to both increased study time to achieve learning parity and an increase in mistakes while processing information than those who are sequentially or serially processing that same information. This article presents the preliminary results of a descriptive and exploratory survey study involving Facebook use, often carried out simultaneously with other study activities, and its relation to academic performance as measured by self-reported Grade Point Average (GPA) and hours spent studying per week. Results show that Facebook(R) users reported having lower GPAs and spend fewer hours per week studying than nonusers.

Country
Netherlands
Related Organizations
Keywords

Social networking software, Facebook®, Grade point average, Academic performance, Multitasking

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
931
Top 0.1%
Top 0.1%
Top 1%
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