Resources - Multi Tasking

Multitasking Resources

The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students [multitasking]
Lepp, A., Barkley, J. Karpinski, A. (2014).  The relationship between cell phone use, academic performance, anxiety, and Satisfaction with Life in college students. Computers in Human Behavior, February 2014, 3/Pages 343-350.  Retrieved from http://www.sciencedirect.com.proxy.ufv.ca:2048/science/article/pii/S0747563213003993
Highlights
• Measured cell phone use (CPUse) to include the device’s complete range of functions.
•CPUse was negatively related to students’ actual Grade Point Average (GPA).
•CPUse was positively related to anxiety (as measured by Beck’s Anxiety Inventory).
•GPA was positively and anxiety was negatively related to Satisfaction with Life (SWL).

In-class multitasking and academic performance
Junco, R. (2012). Department of Academic Development and Counseling, Lock Haven University, 104 Russell Hall, Lock Haven, PA 17745, United States.  In-class multitasking and academic performance. Computers In Human Behavior, November, 2012 28(6) pp. 2236-2243. doi:10.1016/j.chb.2012.06.031. Retrieved from http://eds.b.ebscohost.com.proxy.ufv.ca:2048/eds/detail/detail?vid=2&sid=bed745ea-22a7-4061-b558-c5d7948a9b19@sessionmgr114&hid=104&bdata=JnNpdGU9ZWRzLWxpdmU=#db=edselp&AN=S0747563212001926

Abstract

The omnipresence of student-owned information and communication technologies (ICTs) in today’s college classrooms presents educational opportunities but can also create learning problems. Specifically, multitasking with these technologies can interfere with the learning process. Indeed, research in cognitive science shows that there are clear performance decrements when trying to attend to two tasks at the same time. This study examines the frequency with which students multitask during class using a large sample (N = 1,839) and examines the relationship between multitasking and academic performance as measured by actual overall semester grade point average (GPA). Students reported frequently text messaging during class but reported multitasking with other ICTs to a lesser extent. Furthermore, only social technologies (Facebook and text messaging) were negatively related to GPA.

Zhang, W. (2015). Learning variables, in-class laptop multitasking and academic performance: A path analysis. Computers & Education8182-88. doi:10.1016/j.compedu.2014.09.012.  Retrieved from http://eds.b.ebscohost.com.proxy.ufv.ca:2048/eds/detail/detail?vid=4&sid=bed745ea-22a7-4061-b558-c5d7948a9b19%40sessionmgr114&hid=126&bdata=JnNpdGU9ZWRzLWxpdmU%3d#db=edselp&AN=S0360131514002127
•In-class laptop multitasking has a negative impact on grade.
•The effect size of multitasking is similar to intrinsic and extrinsic motivations.
•Self-regulation behaviors are negatively associated with multitasking.
•The paper recommends building students' self-efficacy and learning motivations.
Abstract
This study examines the relationships among learning variables, multitasking, and academic performance. Based on a survey with 176 college students, zero-order correlations were first tested between multitasking behaviors and grade. After identifying the relevant multitasking behavior (i.e., multitasking with laptops in lecture halls), the multitasking pattern was entered into a path analysis in order to understand its impact on grade, in comparison to learning variables. It is found that in-class laptop multitasking has a negative impact on grade, with an effect size similar to the impacts of intrinsic and extrinsic motivations, although in a reversed direction. Furthermore, the path analysis shows that self-regulation behaviors are negatively associated with in-class laptop multitasking, suggesting that we should look at in-class laptop multitasking as lack of self-regulation. Finally, the results indicate that self-efficacy and extrinsic motivation influence self-regulation behaviors, implying that educators and parents need to encourage students' self-regulation of laptop multitasking behaviors through building students' senses of self-efficacy and learning motivations (or employing strategies where laptops are used deliberately as part of class), instead of simply banning laptops in classrooms.
 Make it our time: In class multitaskers have lower academic performance
Bellur, S., Nowak, K. L., & Hull, K. (2015). [Department of Communication, University of Connecticut]. Make it our time: In class multitaskers have lower academic performance. Computers In Human Behavior, doi:10.1016/j.chb.2015.06.027.  Retrieved from http://eds.b.ebscohost.com.proxy.ufv.ca:2048/eds/detail/detail?vid=6&sid=bed745ea-22a7-4061-b558-c5d7948a9b19%40sessionmgr114&hid=126&bdata=JnNpdGU9ZWRzLWxpdmU%3d#db=edselp&AN=S0747563215004677

•Data highlight the prevalence of multitasking both within and outside classroom.
•In-class multitasking was found to be negatively predictive of current college GPA.
•Multitasking during homework increases time spent studying outside class.
•Texting emerged as a dominant multitasking activity within and outside classroom.
•Implications for technology use, practices and policies in academia are discussed.
 Abstract:
Young adults, especially college students, are consistently engaging in multiple tasks simultaneously. They are texting, reading, and using social media while studying and attending class. While there are a variety of contexts and relationships likely influenced by this, the present research project examines the influence of media multitasking in the context of students in technology-saturated classrooms and how this is impacting learning and academic performance. A survey of college students examined the impact of technology-based multitasking behaviors both within and outside classrooms. Data demonstrate that those who multitask frequently in-class multitasking have lower current college GPAs. This relationship remained significant even after controlling for perceived multitasking efficacy and time spent studying outside of class. Texting emerged as a dominant activity both while attending class and while doing homework. Females seem to use technologies more for maintaining mediated interpersonal interactions and social connections. Males seem to use technology more for online information seeking and for consuming online videos. Those who reported multitasking while doing homework spent more time spent studying outside of class, thereby contributing to inefficient study habits. Implications for technology use, best practices and policies in academic settings are discussed.
Examining the impact of off-task multitasking with technology on real-time classroom learning
Wood, E., Zivcakova, L., Gentile, P., Archer, K., De Pasquale, D., & Nosko, A. (2012). Examining the impact of off-task multi-tasking with technology on real-time classroom learning. Computers & Education58365-374. doi:10.1016/j.compedu.2011.08.029Computers & Education, 58 (1) (2012), pp. 365–374.  Retrieved from http://eds.a.ebscohost.com/eds/detail/detail?vid=15&sid=ed8a9249-fbe5-4175-85e7-271bb6094e9b%40sessionmgr4002&hid=4113&bdata=JnNpdGU9ZWRzLWxpdmU%3d#db=edselp&AN=S0360131511002077
Abstract
The purpose of the present study was to examine the impact of multi-tasking with digital technologies while attempting to learn from real-time classroom lectures in a university setting. Four digitally-based multi-tasking activities (texting using a cell-phone, emailing, MSN messaging and Facebook™) were compared to 3 control groups (paper-and-pencil note-taking, word-processing note-taking and a natural use of technology condition) over three consecutive lectures. Comparisons indicated that participants in the Facebook™ and MSN conditions performed more poorly than those in the paper-and-pencil use control. Follow-up analyses were required to accommodate the substantial number of students who failed to comply with the limited use of technology specified by their assigned conditions. These analyses indicated that participants who did not use any technologies in the lectures outperformed students who used some form of technology. Consistent with the cognitive bottleneck theory of attention (Welford, 1967) and contrary to popular beliefs, attempting to attend to lectures and engage digital technologies for off-task activities can have a detrimental impact on learning.

In-class laptop use and its effects on student learning [multitasking]
Fried, Carrie B. 2008. "In-class laptop use and its effects on student learning." Computers & Education 50, 906-914. ScienceDirect, EBSCOhost (accessed June 30, 2015). Retrieved from  http://www.sciencedirect.com.proxy.ufv.ca:2048/science/article/pii/S0360131506001436
Abstract
Recently, a debate has begun over whether in-class laptops aid or hinder learning. While some research demonstrates that laptops can be an important learning tool, anecdotal evidence suggests more and more faculty are banning laptops from their classrooms because of perceptions that they distract students and detract from learning. The current research examines the nature of in-class laptop use in a large lecture course and how that use is related to student learningStudents completed weekly surveys of attendance, laptop use, and aspects of the classroom environment. Results showed that students who used laptops in class spent considerable time multitasking and that the laptop use posed a significant distraction to both users and fellow students. Most importantly, the level of laptop usewas negatively related to several measures of student learning, including self-reported understanding of course material and overall course performance. The practical implications of these findings are discussed.
Unstructured vsStructured Use of Laptops in Higher Education [multitasking]
Kay, Robin H., and Sharon Lauricella. 2011. "Unstructured vs. Structured Use of Laptops in Higher Education. “Journal of Information Technology Education 10, IIP. ERIC, EBSCOhost (accessed June 30, 2015).
Abstract:

A majority of today's higher education students have been nurtured on a steady diet of technology and Internet access, leading to the increased presence of laptops in higher education classrooms. However, many instructors are unsure whether or how to assimilate this technology into their lessons. The purpose of the following study was to examine the impact of unstructured (limited usevsstructured (active useuse of laptops for 177 university students (89 males, 88 females). Both on-task (note taking, academic activities) and off-task (email, instant messaging, games, and movies) behaviours were examined by surveying students. Paired-t-tests revealed that structured use of laptops resulted in significantly more time spent on note taking and academic activities and significantly less time spent on sending personal emails, instant messages and playing games during class. It is concluded that future research needs to focus on evaluating specific strategies that maximize the benefits and minimize the distractions of using laptops. (Contains 2 tables.)

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