To excel or not to excel: Strong evidence on the adverse effect of smartphone addiction on academic performance

This study aimed to verify whether achieving a distinctive academic performance is unlikely for students at high risk of smartphone addiction. Additionally, it verified whether this phenomenon was equally applicable to male and female students. After implementing systematic random sampling, 293 university students participated by completing an online survey questionnaire posted on the university's student information system. The survey questionnaire collected demographic information and responses to the Smartphone Addiction Scale-Short Version (SAS-SV) items. The results showed that male and female university students were equally susceptible to smartphone addiction. Additionally, male and female university students were equal in achieving cumulative GPAs with distinction or higher within the same levels of smartphone addiction. Furthermore, undergraduate students who were at a high risk of smartphone addiction were less likely to achieve cumulative GPAs of distinction or higher. Students who are at high risk of smartphone addiction are less likely to achieve high GPAs.Male and female university students are equally susceptible to smartphone addiction.Every other university student was identified as high risk for smartphone addiction.Males and females are equal in achieving high GPAs within same levels of smartphone addiction.

[1]  Louis Leung LINKING PSYCHOLOGICAL ATTRIBUTES TO ADDICTION AND IMPROPER USE OF THE MOBILE PHONE AMONG ADOLESCENTS IN HONG KONG , 2008 .

[2]  H. Moselhy,et al.  Impact of Depression on Pathologic Internet Use Among Intern Doctors of Cairo University Hospital (Kasr Al-Ainy) , 2015 .

[3]  Tommy Rockward Investigating Factors That Influence Conditioning Time of PEFCs , 2018 .

[4]  Chih-Hung Ko,et al.  Multi‐dimensional discriminative factors for Internet addiction among adolescents regarding gender and age , 2009, Psychiatry and clinical neurosciences.

[5]  Naomi S. Baron,et al.  Cross-cultural patterns in mobile-phone use: public space and reachability in Sweden, the USA and Japan , 2010, New Media Soc..

[6]  N. Petry,et al.  Prevalence of Internet gaming disorder in German adolescents: diagnostic contribution of the nine DSM-5 criteria in a state-wide representative sample. , 2015, Addiction.

[7]  Mark Conner,et al.  Are women better than men at multi-tasking? , 2013 .

[8]  Nazir S. Hawi,et al.  Learning Programming: A Model Emerging from Data , 2014 .

[9]  D. Black,et al.  Internet Addiction , 2008, CNS drugs.

[10]  A. Chester,et al.  The uses and abuses of Facebook: A review of Facebook addiction , 2014, Journal of behavioral addictions.

[11]  Larry D. Rosen,et al.  Facebook and texting made me do it: Media-induced task-switching while studying , 2013, Comput. Hum. Behav..

[12]  M. Griffiths,et al.  Internet Gambling: An Online Empirical Study Among Student Gamblers , 2008, International Journal of Mental Health and Addiction.

[13]  Paul A. Kirschner,et al.  An exploration of social networking site use, multitasking, and academic performance among United States and European university students , 2013, Comput. Hum. Behav..

[14]  Xavier Carbonell Sánchez,et al.  METODOLOGÍA: Validación de dos escalas breves para evaluar la adicción a Internet y el abuso de móvil , 2009 .

[15]  John Field,et al.  The learning divide : a report of the findings of a UK-wide survey on adult participation in education and learning , 1997 .

[16]  Shelia R. Cotten,et al.  No A 4 U: The relationship between multitasking and academic performance , 2012, Comput. Educ..

[17]  Kimberly Young,et al.  Internet Addiction: The Emergence of a New Clinical Disorder , 1998, Cyberpsychology Behav. Soc. Netw..

[18]  Nazir S. Hawi Internet addiction among adolescents in Lebanon , 2012, Comput. Hum. Behav..

[19]  K. Glenk,et al.  Validity and Reliability , 2008, Environmental Valuation with Discrete Choice Experiments.

[20]  Shelia R. Cotten,et al.  Perceived academic effects of instant messaging use , 2011, Comput. Educ..

[21]  Wade C. Jacobsen,et al.  The Wired Generation: Academic and Social Outcomes of Electronic Media Use Among University Students , 2011, Cyberpsychology Behav. Soc. Netw..

[22]  Nazir S. Hawi,et al.  Polish validation of the Internet Addiction Test , 2015, Comput. Hum. Behav..

[23]  Maya Samaha Rupert,et al.  Impact of e-Discipline on Children's Screen Time , 2015, Cyberpsychology Behav. Soc. Netw..

[24]  Phillip L. Ackerman,et al.  What else do college students "do" while studying? An investigation of multitasking , 2014, Comput. Educ..

[25]  Yoori Hwang,et al.  What type of content are smartphone users addicted to?: SNS vs. games , 2016, Comput. Hum. Behav..

[26]  Jianzhong Xu,et al.  Investigating factors that influence conventional distraction and tech-related distraction in math homework , 2015, Comput. Educ..

[27]  U. Foehr MEDIA MULTITASKING AMONG AMERICAN YOUTH: PREVALENCE, PREDICTORS AND PAIRINGS , 2006 .

[28]  JuddTerry Making sense of multitasking , 2014 .

[29]  R. Mayer,et al.  Nine Ways to Reduce Cognitive Load in Multimedia Learning , 2003 .

[30]  C. S. Andreassen Online Social Network Site Addiction: A Comprehensive Review , 2015, Current Addiction Reports.

[31]  P. Maurage,et al.  Can Disordered Mobile Phone Use Be Considered a Behavioral Addiction? An Update on Current Evidence and a Comprehensive Model for Future Research , 2015, Current Addiction Reports.

[32]  Naomi S. Baron,et al.  Gender and mobile phones in cross-national context , 2012 .

[33]  J. Hooley,et al.  Clinical and Personality Correlates of MMO Gaming , 2013 .

[34]  Shelia R. Cotten,et al.  Gender, technology use and ownership, and media-based multitasking among middle school students , 2014, Comput. Hum. Behav..

[35]  Nee Nee Chan,et al.  An exploration of students' lived experiences of using smartphones in diverse learning contexts using a hermeneutic phenomenological approach , 2015, Comput. Educ..

[36]  Min Kwon,et al.  Development and Validation of a Smartphone Addiction Scale (SAS) , 2013, PloS one.

[37]  Bobbie W. Daniels,et al.  The Effect of Multitasking on the Grade Performance of Business Students , 2010 .

[38]  Diane Keyser Wentworth,et al.  Technology use and academic performance , 2014, Comput. Educ..

[39]  Audrey Griffin Technology Distraction in the Learning Environment , 2014 .

[40]  Megan A. Moreno,et al.  Exploring depression and problematic internet use among college females: A multisite study , 2015, Comput. Hum. Behav..

[41]  Reynol Junco,et al.  In-class multitasking and academic performance , 2012, Comput. Hum. Behav..

[42]  Mohammed Samaka,et al.  Open Education Resources and Mobile Technology to Narrow the Learning Divide , 2013 .

[43]  Ahmet Akin,et al.  The Validity and Reliability of the Turkish Version of the Smart Phone Addiction Scale-short Form for Adolescent☆ , 2014 .

[44]  Thengo Kavinya,et al.  A Deeper Look... , 2016 .

[45]  Dongning Ren,et al.  A Deeper Look at Gender Difference in Multitasking: Gender-Specific Mechanism of Cognitive Control , 2009, 2009 Fifth International Conference on Natural Computation.

[46]  Youngju Kim,et al.  Smartphone Addiction in University Students and Its Implication for Learning , 2014, ICSLE.

[47]  Maya Samaha Rupert,et al.  Relationships among smartphone addiction, stress, academic performance, and satisfaction with life , 2016, Comput. Hum. Behav..

[48]  M. Toda,et al.  Mobile phone dependence of female students and perceived parental rearing attitudes , 2008 .

[49]  M. Just,et al.  Interdependence of Nonoverlapping Cortical Systems in Dual Cognitive Tasks , 2001, NeuroImage.

[50]  Barbara Schneider,et al.  Being together, working apart : dual-career families and the work-life balance , 2005 .

[51]  Stephanie Dietz,et al.  Texting as a distraction to learning in college students , 2014, Comput. Hum. Behav..

[52]  M. Linden,et al.  Does impulsivity relate to perceived dependence on and actual use of the mobile phone , 2007 .

[53]  Griffiths Adolescent mobile phone addiction: a cause for concern? , 2013 .

[54]  Leopoldina Fortunati Gender and the Mobile Phone , 2009 .

[55]  K. Demi̇rci̇,et al.  Validity and Reliability of the Turkish Version of the Smartphone Addiction Scale in a Younger Population , 2014 .

[56]  Lao Juan,et al.  Development and Validation of a Scale for Measuring Instructors' Attitudes toward Concept-Based or Reform-Oriented Teaching of Introductory Statistics in the Health and Behavioral Sciences , 2010, 1007.3219.

[57]  Eden Dahlstrom,et al.  ECAR Study of Undergraduate Students and Information Technology, 2014. , 2014 .

[58]  Karin Archer,et al.  Examining the impact of off-task multi-tasking with technology on real-time classroom learning , 2012, Comput. Educ..

[59]  M. Potenza,et al.  Introduction to Behavioral Addictions , 2010, The American journal of drug and alcohol abuse.

[60]  James G. Phillips,et al.  Psychological Predictors of Problem Mobile Phone Use , 2005, Cyberpsychology Behav. Soc. Netw..

[61]  H. Richards,et al.  Classwork and homework in early adolescence: The ecology of achievement , 1989, Journal of youth and adolescence.

[62]  Min Kwon,et al.  The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents , 2013, PloS one.

[63]  Nazir S. Hawi,et al.  Causal attributions of success and failure made by undergraduate students in an introductory-level computer programming course , 2010, Comput. Educ..

[64]  Zheng Yan,et al.  Mobile phone addiction levels and negative emotions among Chinese young adults: The mediating role of interpersonal problems , 2016, Comput. Hum. Behav..