How does the smartphone usage of college students affect academic performance?

[1]  Jaemin Jung,et al.  Mobile communication for human needs: A comparison of smartphone use between the US and Korea , 2014, Comput. Hum. Behav..

[2]  S HawiNazir,et al.  To excel or not to excel , 2016 .

[3]  Yong Jeong Yi The Effects of a Mobile Personal Health Records (PHR) Application on Consumer Health Behavior , 2016 .

[4]  Yong Jeong Yi,et al.  An Analysis of Non-users of Mobile Healthcare Applications: Based on Diffusion of Innovations Theory , 2017 .

[5]  Wen-Shan Lin,et al.  Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit , 2012, Comput. Educ..

[6]  Jane E. Klobas,et al.  A task-technology fit view of learning management system impact , 2009, Comput. Educ..

[7]  Kevin R. Guidry,et al.  Engaging online learners: The impact of Web-based learning technology on college student engagement , 2010, Comput. Educ..

[8]  Shahriar Akter,et al.  Application of the task-technology fit model to structure and evaluate the adoption of E-books by Academics , 2013, J. Assoc. Inf. Sci. Technol..

[9]  Jen-Her Wu,et al.  Mobile computing acceptance factors in the healthcare industry : A structural equation model , 2006 .

[10]  Yifan Li,et al.  A framework of students' reasons for using CMC media in learning contexts: A structural approach , 2011, J. Assoc. Inf. Sci. Technol..

[11]  Faye Haffey,et al.  Smartphone apps to support hospital prescribing and pharmacology education: a review of current provision , 2014, British journal of clinical pharmacology.

[12]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[13]  Elke M. Leeds,et al.  Digital Video Presentation and Student Performance: A Task Technology Fit Perspective , 2010, Int. J. Inf. Commun. Technol. Educ..

[14]  Michael M. Grant,et al.  Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media , 2013, Internet High. Educ..

[15]  J. Tanguma,et al.  E‐Textbooks and Students’ Learning Experiences , 2012 .

[16]  Shao-I Chiu,et al.  The relationship between life stress and smartphone addiction on taiwanese university student: A mediation model of learning self-Efficacy and social self-Efficacy , 2014, Comput. Hum. Behav..

[17]  Jengchung V. Chen,et al.  Acceptance and adoption of the innovative use of smartphone , 2007, Ind. Manag. Data Syst..

[18]  Taehyun Kim,et al.  Expectations and fulfillment of course engagement, gained skills, and non-academic usage of college students utilizing tablets in an undergraduate skills course , 2017, Education and Information Technologies.

[19]  Amanda J. Rockinson-Szapkiw,et al.  Electronic versus traditional print textbooks: A comparison study on the influence of university students' learning , 2013, Comput. Educ..

[20]  Gill Clough,et al.  Informal learning with PDAs and smartphones , 2008, J. Comput. Assist. Learn..

[21]  Suliman S. Aljomaa,et al.  Smartphone addiction among university students in the light of some variables , 2016, Comput. Hum. Behav..

[22]  Sang-Chul Lee,et al.  Determinants of behavioral intention to mobile banking , 2009, Expert Syst. Appl..

[23]  Chao-Min Chiu,et al.  Internet self-efficacy and electronic service acceptance , 2004, Decis. Support Syst..

[24]  Florence Martin,et al.  Here and now mobile learning: An experimental study on the use of mobile technology , 2013, Comput. Educ..

[25]  Ru-Chu Shih,et al.  The Development and Implementation of U-Msg for College Students' English Learning , 2016, Int. J. Distance Educ. Technol..

[26]  Hyunjoo Lee,et al.  Determining the factors that influence college students' adoption of smartphones , 2014, J. Assoc. Inf. Sci. Technol..

[27]  Hsi-Peng Lu,et al.  Factors affecting purchase intention on mobile shopping web sites , 2009, Internet Res..

[28]  Hsiu-Yuan Wang,et al.  User acceptance of mobile internet based on the Unified Theory of Acceptance and Use of Technology: Investigating the determinants and gender differences , 2010 .

[29]  Tapio Soikkeli,et al.  Contextual usage patterns in smartphone communication services , 2011, Personal and Ubiquitous Computing.

[30]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[31]  Wen-Shan Lin,et al.  Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives , 2012, Int. J. Hum. Comput. Stud..

[32]  Jo Davies,et al.  Performance in e-learning: online participation and student grades , 2005, Br. J. Educ. Technol..

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

[34]  Hyunseung Choo,et al.  Smartphones as smart pedagogical tools: Implications for smartphones as u-learning devices , 2011, Comput. Hum. Behav..

[35]  Christiana M. Shaw,et al.  Integration of mobile technology in educational materials improves participation: creation of a novel smartphone application for resident education. , 2015, Journal of surgical education.

[36]  Dong-Hee Shin,et al.  Towards an understanding of the consumer acceptance of mobile wallet , 2009, Comput. Hum. Behav..

[37]  Daner Sun,et al.  Bridging Formal and Informal Learning with the Use of Mobile Technology , 2016 .

[38]  Soeun You,et al.  The influence of smartphones on academic performance: The development of the technology-to-performance chain model , 2016, Libr. Hi Tech.

[39]  Tai-Kuei Yu,et al.  Modelling the factors that affect individuals' utilisation of online learning systems: An empirical study combining the task technology fit model with the theory of planned behaviour , 2010, Br. J. Educ. Technol..

[40]  Hyunjoo Lee,et al.  Social Implications of Smartphone Use: Korean College Students' Smartphone Use and Psychological Well-Being , 2012, Cyberpsychology Behav. Soc. Netw..

[41]  Jaeki Song,et al.  An investigation of mobile learning readiness in higher education based on the theory of planned behavior , 2012, Comput. Educ..

[42]  Sung Youl Park,et al.  University students' behavioral intention to use mobile learning: Evaluating the technology acceptance model , 2012, Br. J. Educ. Technol..

[43]  Yoonmo Sang,et al.  Exploring Koreans' smartphone usage: An integrated model of the technology acceptance model and uses and gratifications theory , 2013, Comput. Hum. Behav..

[44]  Sang Yup Lee,et al.  Examining the factors that influence early adopters' smartphone adoption: The case of college students , 2014, Telematics Informatics.

[45]  Yu-Ru Lin,et al.  Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model , 2007, Electron. Libr..

[46]  Jane Klobas,et al.  LMS use and Instructor Performance: The Role of Task-technology Fit , 2011 .

[47]  Christopher J. Keyes,et al.  A Proposed Framework to Understand the Intrinsic Motivation Factors on University Students' Behavioral Intention to Use a Mobile Application for Learning , 2017, J. Inf. Technol. Educ. Res..

[48]  Maya Samaha Rupert,et al.  To excel or not to excel: Strong evidence on the adverse effect of smartphone addiction on academic performance , 2016, Comput. Educ..

[49]  Chien-Hung Liu,et al.  Learning effectiveness in a Web-based virtual learning environment: a learner control perspective , 2005, J. Comput. Assist. Learn..