Access the full text.
Sign up today, get DeepDyve free for 14 days.
Reynol Junco (2012)
Too much face and not enough books: The relationship between multiple indices of Facebook use and academic performanceComput. Hum. Behav., 28
S. Ravizza, D. Hambrick, K. Fenn (2014)
Non-academic internet use in the classroom is negatively related to classroom learning regardless of intellectual abilityComput. Educ., 78
Charles Calderwood, P. Ackerman, Erin Conklin (2014)
What else do college students "do" while studying? An investigation of multitaskingComput. Educ., 75
R. Adler, R. Benbunan-Fich (2013)
Self-interruptions in discretionary multitaskingComput. Hum. Behav., 29
Jennifer Gerow, Pamela Galluch, J. Thatcher (2010)
To Slack or Not to Slack: Internet Usage in the ClassroomThe Journal of Information Technology Theory and Application, 11
E. Ophir, C. Nass, A. Wagner (2009)
Cognitive control in media multitaskersProceedings of the National Academy of Sciences, 106
C. Brooks, J. Pomerantz (2017)
2017 Student and technology research study, EDUCAUSE Center for Applied Research (ECAR)
Reynol Junco, S. Cotten (2012)
No A 4 U: The relationship between multitasking and academic performanceComput. Educ., 59
Stamatios Papadakis, M. Kalogiannakis, Nicholas Zaranis (2018)
Educational apps from the Android Google Play for Greek preschoolers: A systematic reviewComput. Educ., 116
Larry Rosen, L. Carrier, Nancy Cheever (2013)
Facebook and texting made me do it: Media-induced task-switching while studyingComput. Hum. Behav., 29
R. Benbunan-Fich, R. Adler, Tamilla Mavlanova (2011)
Measuring multitasking behavior with activity-based metricsACM Trans. Comput. Hum. Interact., 18
Yuxia Qian, Li Li (2017)
Student Off-Task Electronic Multitasking Predictors: Scale Development and ValidationJournal of the Scholarship of Teaching and Learning, 17
J. Kraushaar, David Novak (2010)
Examining the Affects of Student Multitasking with Laptops During the LectureJ. Inf. Syst. Educ., 21
Zheng Wang, John Tchernev (2012)
The “Myth” of Media Multitasking: Reciprocal Dynamics of Media Multitasking, Personal Needs, and GratificationsJournal of Communication, 62
Esko Penttinen, M. Rossi, V. Tuunainen (2010)
Mobile Games: Analyzing the Needs and Values of the ConsumersThe Journal of Information Technology Theory and Application, 11
(2017)
Key communications statistics
L. Deng (2017)
Multitasking with ICT Among University Students: An Exploratory Study
T. Judd (2014)
Making sense of multitasking: The role of FacebookComput. Educ., 70
J. Aagaard (2015)
Drawn to distraction: A qualitative study of off-task use of educational technologyComput. Educ., 87
Jing Jin, Laura Dabbish (2009)
Self-interruption on the computer: a typology of discretionary task interleavingProceedings of the SIGCHI Conference on Human Factors in Computing Systems
Lin Lin (2013)
Multiple Dimensions of Multitasking PhenomenonInt. J. Technol. Hum. Interact., 9
(2012)
Multitasking in the university classroom
Faria Sana, T. Weston, N. Cepeda (2013)
Laptop multitasking hinders classroom learning for both users and nearby peersComput. Educ., 62
Eileen Wood, Lucia Zivcakova (2015)
Understanding Multimedia Multitasking in Educational Settings
H. Hembrooke, Geri Gay (2003)
The laptop and the lecture: The effects of multitasking in learning environmentsJournal of Computing in Higher Education, 15
T. Judd, G. Kennedy (2011)
Measurement and evidence of computer-based task switching and multitasking by 'Net Generation' studentsComput. Educ., 56
E. Skinner, T. Kindermann, Carrie Furrer (2009)
A Motivational Perspective on Engagement and DisaffectionEducational and Psychological Measurement, 69
The study aims to give a descriptive account of university students’ engagement with non-learning-related activities during class time and explore the relationship between off-task multitasking and learning. The predictive factors for off-task multitasking from individual, social and class-related dimensions are also examined.Design/methodology/approachContextualized in a comprehensive university in Hong Kong, the study adopts a survey design and involves 79 samples.FindingsThe data show that Hong Kong university students are avid users of mobile phones and heavily engage with digital devices. Off-task multitasking with mobile phones is a common phenomenon, yet not related to learning performance. Among the various media and apps on mobile phones, instant messenger stands out as the most frequently used app on a daily basis and inside the classroom. The individual device-use habit and classroom engagement are significant predictors for off-task multitasking during class time.Practical implicationsThis paper will allow teachers and students to be more aware of the causes and effects of off-task multitasking behaviors during class time and derive practical guidance and strategies to pay heed to and resist the disruptive influence of technologies on learning.Originality/valueThe existing scholarly work show a mixed and incomplete picture regarding the effects and determining factors of students’ multitasking. This study includes three variables from individual, social and teaching/learning dimensions and seeks to evaluate their predictive strengths. The results of the study will deepen our understanding of the patterns of off-task multitasking.
Interactive Technology and Smart Education – Emerald Publishing
Published: Mar 4, 2019
Keywords: Higher education; Mobile phone; Multitasking
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.