Adler, R. F., & Benbunan-Fich, R. (2013). Self-interruptions in discretionary multitasking. Computers in Human Behavior, 29(4), 1441–1449. https://doi.org/10.1016/j.chb.2013.01.040
Article
Google Scholar
Adler, R. F., & Benbunan-Fich, R. (2015). The effects of task difficulty and multitasking on performance. Interacting with Computers, 27(4), 430–439. https://doi.org/10.1093/iwc/iwu005
Article
Google Scholar
Alghamdi, A., Karpinski, A. C., Lepp, A., & Barkley, J. (2020). Online and face-to-face classroom multitasking and academic performance: moderated mediation with self-efficacy for self-regulated learning and gender. Computers in Human Behavior, 102, 214–222. https://doi.org/10.1016/j.chb.2019.08.018
Article
Google Scholar
Alt, D. (2015). College students’ academic motivation, media engagement and fear of missing out. Computers in Human Behavior, 49, 111–119. https://doi.org/10.1016/j.chb.2015.02.057
Article
Google Scholar
Bandura, A. (1978). Social learning theory of aggression. Journal of Communication, 28(3), 12–29. https://doi.org/10.1111/j.1460-2466.1978.tb01621.x
Article
Google Scholar
Bandura, A. (1986). Social foundations of thought and action
Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50(2), 248–287. https://doi.org/10.1016/0749-5978(91)90022-L
Article
Google Scholar
Bandura, A., & Walters, R. H. (1977). Social learning theory (Vol. 1). Prentice Hall.
Google Scholar
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173. https://doi.org/10.1037/0022-3514.51.6.1173
Article
Google Scholar
Brechwald, W. A., & Prinstein, M. J. (2011). Beyond homophily: a decade of advances in understanding peer influence processes. Journal of Research on Adolescence, 21(1), 166–179. https://doi.org/10.1111/j.1532-7795.2010.00721.x
Article
Google Scholar
Calderwood, C., Ackerman, P. L., & Conklin, E. M. (2014). What else do college students “do” while studying? An investigation of multitasking. Computers & Education, 75, 19–29. https://doi.org/10.1016/j.compedu.2014.02.004
Article
Google Scholar
Calderwood, C., Green, J. D., Joy-Gaba, J. A., & Moloney, J. M. (2016). Forecasting errors in student media multitasking during homework completion. Computers & Education, 94, 37–48. https://doi.org/10.1016/j.compedu.2015.10.021
Article
Google Scholar
Callahan, J. S., Brownlee, A. L., Brtek, M. D., & Tosi, H. L. (2003). Examining the unique effects of multiple motivational sources on task performance. Journal of Applied Social Psychology, 33(12), 2515–2535. https://doi.org/10.1111/j.1559-1816.2003.tb02778.x
Article
Google Scholar
Chen, Q., & Yan, Z. (2016). Does multitasking with mobile phones affect learning? A review. Computers in Human Behavior, 54, 34–42. https://doi.org/10.1016/j.chb.2015.07.047
Article
Google Scholar
Chen, X., Wang, Y., Tao, D., Jiang, L., & Li, S. (2021). Antecedents of smartphone multitasking: roles of demographics, personalities and motivations. Internet Research. https://doi.org/10.1108/INTR-09-2019-0388
Article
Google Scholar
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
Google Scholar
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189–217. https://doi.org/10.1287/isre.14.2.189.16018
Article
Google Scholar
Cokley, K. (2003). What do we know about the motivation of African American students? Challenging the “anti-intellectual” myth. Harvard Educational Review, 73(4), 524–558. https://doi.org/10.17763/haer.73.4.3618644850123376
Article
MathSciNet
Google Scholar
David, P., Kim, J.-H., Brickman, J. S., Ran, W., & Curtis, C. M. (2015). Mobile phone distraction while studying. New Media & Society, 17(10), 1661–1679. https://doi.org/10.1177/1461444814531692
Article
Google Scholar
Demirbilek, M., & Talan, T. (2018). The effect of social media multitasking on classroom performance. Active Learning in Higher Education, 19(2), 117–129. https://doi.org/10.1177/1469787417721382
Article
Google Scholar
Deng, L. (2020). Laptops and mobile phones at self-study time: examining the mechanism behind interruption and multitasking. Australasian Journal of Educational Technology, 36(1), 55–67. https://doi.org/10.14742/ajet.5048
Article
Google Scholar
Deng, L., Ku, K. Y. L., & Kong, Q. (2019). Examining predictive factors and effects of in-class multitasking with mobile phones. Interactive Technology and Smart Education, 16(1), 49–58. https://doi.org/10.1108/ITSE-08-2018-0056
Article
Google Scholar
Derounian, J. G. (2020). Mobiles in class? Active Learning in Higher Education, 21(2), 142–153. https://doi.org/10.1177/1469787417745214
Article
Google Scholar
Felisoni, D. D., & Godoi, A. S. (2018). Cell phone usage and academic performance: an experiment. Computers & Education, 117, 175–187. https://doi.org/10.1016/j.compedu.2017.10.006
Article
Google Scholar
Festl, R., Scharkow, M., & Quandt, T. (2013). Peer influence, internet use and cyberbullying: a comparison of different context effects among German adolescents. Journal of Children and Media, 7(4), 446–462. https://doi.org/10.1080/17482798.2013.781514
Article
Google Scholar
Flanigan, A. E., & Babchuk, W. A. (2020). Digital distraction in the classroom: exploring instructor perceptions and reactions. Teaching in Higher Education. https://doi.org/10.1080/13562517.2020.1724937
Article
Google Scholar
Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440–452. https://doi.org/10.2307/3151718
Article
Google Scholar
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Article
Google Scholar
Fried, C. B. (2008). In-class laptop use and its effects on student learning. Computers & Education, 50(3), 906–914. https://doi.org/10.1016/j.compedu.2006.09.006
Article
Google Scholar
Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLS-Graph: tutorial and annotated example. Communications of the Association for Information Systems, 16(1), 91–109. https://doi.org/10.17705/1CAIS.01605
Article
Google Scholar
Gerow, J. E., Galluch, P. S., & Thatcher, J. B. (2010). To slack or not to slack: Internet usage in the classroom. Journal of Information Technology Theory and Application, 11(3), 5–24.
Google Scholar
Goel, L., & Schnusenberg, O. (2019). Why some people multitask better than others: predicting learning. Information Systems Management, 36(1), 15–23. https://doi.org/10.1080/10580530.2018.1553646
Article
Google Scholar
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616–632. https://doi.org/10.1007/s11747-017-0517-x
Article
Google Scholar
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Emerald Group Publishing Limited. https://doi.org/10.1108/S1474-7979(2009)0000020014
Book
Google Scholar
Hong, J.-C., Hwang, M.-Y., Tai, K.-H., & Lin, P.-H. (2017). Intrinsic motivation of Chinese learning in predicting online learning self-efficacy and flow experience relevant to students’ learning progress. Computer Assisted Language Learning, 30(6), 552–574. https://doi.org/10.1080/09588221.2017.1329215
Article
Google Scholar
Jeong, S.-H., & Fishbein, M. (2007). Predictors of multitasking with media: media factors and audience factors. Media Psychology, 10(3), 364–384. https://doi.org/10.1080/15213260701532948
Article
Google Scholar
Junco, R. (2012). In-class multitasking and academic performance. Computers in Human Behavior, 28(6), 2236–2243. https://doi.org/10.1016/j.chb.2012.06.031
Article
Google Scholar
Junco, R., & Cotten, S. R. (2012). No A 4 U: the relationship between multitasking and academic performance. Computers & Education, 59, 505–514. https://doi.org/10.1016/j.compedu.2011.12.023
Article
Google Scholar
Kanai, R., Dong, M. Y., Bahrami, B., & Rees, G. (2011). Distractibility in daily life is reflected in the structure and function of human parietal cortex. Journal of Neuroscience, 31(18), 6620–6626. https://doi.org/10.1523/JNEUROSCI.5864-10.2011
Article
Google Scholar
Kononova, A., & Chiang, Y.-H. (2015). Why do we multitask with media? Predictors of media multitasking among Internet users in the United States and Taiwan. Computers in Human Behavior, 50, 31–41. https://doi.org/10.1016/j.chb.2015.03.052
Article
Google Scholar
Kornhauser, Z. G. C., Paul, A. L., & Siedlecki, K. L. (2016). An examination of students’ use of technology for non-academic purposes in the college classroom. Journal of Teaching and Learning with Technology, 5(1), 1–15. https://doi.org/10.14434/jotlt.v5n1.13781
Article
Google Scholar
Kraushaar, J. M., & Novak, D. C. (2010). Examining the affects of student multitasking with laptops during the lecture. Journal of Information Systems Education, 21(2), 241–251.
Google Scholar
Lau, W. W. (2017). Effects of social media usage and social media multitasking on the academic performance of university students. Computers in Human Behavior, 68, 286–291. https://doi.org/10.1016/j.chb.2016.11.043
Article
Google Scholar
Lawson, D., & Henderson, B. B. (2015). The costs of texting in the classroom. College Teaching, 63(3), 119–124. https://doi.org/10.1080/87567555.2015.1019826
Article
Google Scholar
Lepp, A., Barkley, J. E., Karpinski, A. C., & Singh, S. (2019). College students’ multitasking behavior in online versus face-to-face courses. SAGE Open, 9(1), 2158244018824505. https://doi.org/10.1177/2158244018824505
Article
Google Scholar
Lin, Y. G., McKeachie, W. J., & Kim, Y. C. (2003). College student intrinsic and/or extrinsic motivation and learning. Learning and Individual Differences, 13(3), 251–258. https://doi.org/10.1016/S1041-6080(02)00092-4
Article
Google Scholar
Lindroth, T., & Bergquist, M. (2010). Laptopers in an educational practice: promoting the personal learning situation. Computers & Education, 54, 311–320. https://doi.org/10.1016/j.compedu.2009.07.014
Article
Google Scholar
May, K. E., & Elder, A. D. (2018). Efficient, helpful, or distracting? A literature review of media multitasking in relation to academic performance. International Journal of Educational Technology in Higher Education, 15, 13. https://doi.org/10.1186/s41239-018-0096-z
Article
Google Scholar
Mendoza, J. S., Pody, B. C., Lee, S., Kim, M., & McDonough, I. M. (2018). The effect of cellphones on attention and learning: the influences of time, distraction, and nomophobia. Computers in Human Behavior, 86, 52–60. https://doi.org/10.1016/j.chb.2018.04.027
Article
Google Scholar
Moskowitz, G. B. (2005). Social cognition: understanding self and others. Guilford Press.
Google Scholar
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill Inc.
Google Scholar
Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66(4), 543–578. https://doi.org/10.3102/00346543066004543
Article
Google Scholar
Partin, M. L., Haney, J. J., Worch, E. A., Underwood, E. M., Nurnberger-Haag, J. A., Scheuermann, A., & Midden, W. R. (2011). Yes I can: the contributions of motivation and attitudes on course performance among biology nonmajors. Journal of College Science Teaching, 40(6), 86–95.
Google Scholar
Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33–40. https://doi.org/10.1037/0022-0663.82.1.33
Article
Google Scholar
Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 885(879), 10–1037. https://doi.org/10.1037/0021-9010.88.5.879
Article
Google Scholar
Pollard, M. A., & Courage, M. L. (2017). Working memory capacity predicts effective multitasking. Computers in Human Behavior, 76, 450–462. https://doi.org/10.1016/j.chb.2017.08.008
Article
Google Scholar
Ragan, E. D., Jennings, S. R., Massey, J. D., & Doolittle, P. E. (2014). Unregulated use of laptops over time in large lecture classes. Computers & Education, 78, 78–86. https://doi.org/10.1016/j.compedu.2014.05.002
Article
Google Scholar
Ralph, B. C., Smith, A. C., Seli, P., & Smilek, D. (2021). The relation between task-unrelated media multitasking and task-related motivation. Psychological Research Psychologische Forschung, 85, 408–422. https://doi.org/10.1007/s00426-019-01246-7
Article
Google Scholar
Ravizza, S. M., Uitvlugt, M. G., & Fenn, K. M. (2017). Logged in and zoned out: how laptop internet use relates to classroom learning. Psychological Science, 28(2), 171–180. https://doi.org/10.1177/0956797616677314
Article
Google Scholar
Riemer, H., Shavitt, S., Koo, M., & Markus, H. R. (2014). Preferences don’t have to be personal: expanding attitude theorizing with a cross-cultural perspective. Psychological Review, 121(4), 619. https://doi.org/10.1037/a0037666
Article
Google Scholar
Rosen, L. D., Carrier, L. M., & Cheever, N. A. (2013). Facebook and texting made me do it: media-induced task-switching while studying. Computers in Human Behavior, 29(3), 948–958. https://doi.org/10.1016/j.chb.2012.12.001
Article
Google Scholar
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54–67. https://doi.org/10.1006/ceps.1999.1020
Article
Google Scholar
Sana, F., Weston, T., & Cepeda, N. J. (2013). Laptop multitasking hinders classroom learning for both users and nearby peers. Computers & Education, 62, 24–31. https://doi.org/10.1016/j.compedu.2012.10.003
Article
Google Scholar
Sansone, C., & Harackiewicz, J. M. (Eds.). (2000). Intrinsic and extrinsic motivation: the search for optimal motivation and performance. Elsevier.
Google Scholar
Schunk, D. H. (1985). Self-efficacy and classroom learning. Psychology in the Schools, 22(2), 208–223.
Article
Google Scholar
Spiliotopoulou, G. (2009). Reliability reconsidered: Cronbach’s alpha and paediatric assessment in occupational therapy. Australian Occupational Therapy Journal, 56(3), 150–155. https://doi.org/10.1111/j.1440-1630.2009.00785.x
Article
Google Scholar
Srivastava, J., Nakazawa, M., & Chen, Y.-W. (2016). Online, mixed, and offline media multitasking: role of cultural, socio-demographic, and media factors. Computers in Human Behavior, 62, 720–729. https://doi.org/10.1016/j.chb.2016.04.040
Article
Google Scholar
Swailes, S., & McIntyre-Bhatty, T. (2002). The “Belbin” team role inventory: reinterpreting reliability estimates. Journal of Managerial Psychology, 17(6), 529–536. https://doi.org/10.1108/02683940210439432
Article
Google Scholar
Taneja, A., Fiore, V., & Fischer, B. (2015). Cyber-slacking in the classroom: potential for digital distraction in the new age. Computers & Education, 82, 141–151. https://doi.org/10.1016/j.compedu.2014.11.009
Article
Google Scholar
Tindell, D. R., & Bohlander, R. W. (2012). The use and abuse of cell phones and text messaging in the classroom: a survey of college students. College Teaching, 60(1), 1–9. https://doi.org/10.1080/87567555.2011.604802
Article
Google Scholar
Wei, F.-Y.F., & Wang, Y. K. (2010). Students’ silent messages: can teacher verbal and nonverbal immediacy moderate student use of text messaging in class? Communication Education, 59(4), 475–496. https://doi.org/10.1080/03634523.2010.496092
Article
Google Scholar
Wood, E., Mirza, A., & Shaw, L. (2018). Using technology to promote classroom instruction: assessing incidences of on-task and off-task multitasking and learning. Journal of Computing in Higher Education, 30(3), 553–571. https://doi.org/10.1007/s12528-018-9185-1
Article
Google Scholar
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 & Education, 58, 365–374. https://doi.org/10.1016/j.compedu.2011.08.029
Article
Google Scholar
Wu, H., Li, S., Zheng, J., & Guo, J. (2020). Medical students’ motivation and academic performance: the mediating roles of self-efficacy and learning engagement. Medical Education Online, 25(1), 1742964. https://doi.org/10.1080/10872981.2020.1742964
Article
Google Scholar
Wu, J.-Y. (2017). The indirect relationship of media multitasking self-efficacy on learning performance within the personal learning environment: Implications from the mechanism of perceived attention problems and self-regulation strategies. Computers & Education, 106, 56–72. https://doi.org/10.1016/j.compedu.2016.10.010
Article
Google Scholar
Zhang, W. (2015). Learning variables, in-class laptop multitasking and academic performance: a path analysis. Computers & Education, 81, 82–88. https://doi.org/10.1016/j.compedu.2014.09.012
Article
Google Scholar
Zhang, W., & Zhang, L. (2012). Explicating multitasking with computers: Gratifications and situations. Computers in Human Behavior, 28(5), 1883–1891. https://doi.org/10.1016/j.chb.2012.05.006
Article
Google Scholar
Zimmerman, B. J. (2000). Self-efficacy: an essential motive to learn. Contemporary Educational Psychology, 25(1), 82–91. https://doi.org/10.1006/ceps.1999.1016
Article
Google Scholar