Structural relationship of academic self-efficacy, mobile learning readiness, and academic performance among graduate students: a mediation study

References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2020). Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance. Technology in Society, 101247. https://doi.org/10.1016/j.techsoc.2020.101247
   Google Scholar
• Ali, P. A., & Naylor, P. B. (2010). Association between academic and non-academic variables and academic success of diploma nursing students in Pakistan. Nurse Education Today, 30(2), 157–162. https://doi.org/10.1016/j.nedt.2009.07.006
   PubMed Web of Science ®Google Scholar
• Almaiah, M. A. (2018). Acceptance and usage of a mobile information system services in university of Jordan. Education and Information Technologies, 23(5), 1873–1895. https://doi.org/10.1007/s10639-018-9694-6
   Web of Science ®Google Scholar
• Alowayr, A., & Al-Azawei, A. (2021). Predicting mobile learning acceptance: An integrated model and empirical study based on higher education students’ perceptions. Australasian Journal of Educational Technology, 38–55. https://doi.org/10.14742/ajet.6154
   Google Scholar
• Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–147. https://doi.org/10.1037/0003-066X.37.2.122
   Web of Science ®Google Scholar
• Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
   Google Scholar
• Bandura, A. (2006). Toward a psychology of human agency. Perspectives on Psychological Science, 1(2), 164–180. https://doi.org/10.1111/j.1745-6916.2006.00011.x
   Web of Science ®Google Scholar
• Bandura, A. (2012). On the functional properties of perceived self-efficacy revisited. Journal of Management, 38(1), 9–44. https://doi.org/10.1177/0149206311410606
   Web of Science ®Google Scholar
• Bevins, F., Bryant, J., Krishnan, C., & Law, J. (2020). Coronavirus: How should US higher education plan for an uncertain future?. McKinsey. Recuperado el, 22.
   Google Scholar
• Bidin, S., & Ziden, A. A. (2013). Adoption and application of mobile learning in the education industry. Procedia-social and Behavioral Sciences, 90, 720–729. https://doi.org/10.1016/j.sbspro.2013.07.145
   Google Scholar
• Chang, C. Y., Lai, C. L., & Hwang, G. J. (2018). Trends and research issues of mobile learning studies in nursing education: A review of academic publications from 1971 to 2016. Computers & Education, 116, 28–48. https://doi.org/10.1016/j.compedu.2017.09.001
   Web of Science ®Google Scholar
• Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59(3), 1054–1064. https://doi.org/10.1016/j.compedu.2012.04.015
   Web of Science ®Google Scholar
• Cheung, S. K., & Wang, F. L. (2021). The continuous pursuit of smart learning. Australasian Journal of Educational Technology, 37(2), 1–6. https://doi.org/10.14742/ajet.7207
   Web of Science ®Google Scholar
• Crompton, H., & Burke, D. (2018). The use of mobile learning in higher education: A systematic review. Computers & Education, 123, 53–64. https://doi.org/10.1016/j.compedu.2018.04.007
   Web of Science ®Google Scholar
• Crompton, H., Burke, D., & Gregory, K. H. (2017). The use of mobile learning in PK-12 education: A systematic review. Computers & Education, 110, 51–63. https://doi.org/10.1016/j.compedu.2017.03.013
   Web of Science ®Google Scholar
• Danish, J., & Hmelo-Silver, C. E. (2019). On activities and affordances for mobile learning. Contemporary Educational Psychology, 101829. https://doi.org/10.1016/j.cedpsych.2019.101829
   Google Scholar
• Deng, W., Li, X., Wu, H., & Xu, G. (2020). Student leadership and academic performance. China Economic Review, 60, 101389. https://doi.org/10.1016/j.chieco.2019.101389
   Web of Science ®Google Scholar
• Diaz, A. L. (2003). Personal, family, and academic factors affecting low achievement in secondary school. Electronic Journal of Research in Educational Psychology and Psycho Pedagogy, 1(1), 43–66. https://doi.org/10.25115/ejrep.1.101
   Google Scholar
• El Massah, S. S., & Fadly, D. (2017). Predictors of academic performance for finance students: Women at higher education in the UAE. International Journal of Educational Management, 31(7), 854–864. https://doi.org/10.1108/IJEM-12-2015-0171/full/html
   Web of Science ®Google Scholar
• Filippou, K. (2019). Students’ academic self-efficacy in international master's degree programs in Finnish universities. International Journal of Teaching and Learning in Higher Education, 31(1), 86–95.
   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/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Grenier, D. (2018). The relationship between mobile learning and academic achievement in a community college system online environment. Liberty University.
   Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed. Pearson new international edition). Pearson: Pearson custom library.
   Google Scholar
• Hair, J. F., Jr, Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
   Google Scholar
• Henry, K. L. (2010). Academic achievement and adolescent drug use: An examination of reciprocal effects and correlated growth trajectories. Journal of School Health, 80(1), 38–43. https://doi.org/10.1111/j.1746-1561.2009.00455.x
   PubMed Web of Science ®Google Scholar
• Høigaard, R., Kovač, V. B., Øverby, N. C., & Haugen, T. (2015). Academic self-efficacy mediates the effects of school psychological climate on academic achievement. School Psychology Quarterly, 30(1), 64–74. https://doi.org/10.1037/spq0000056
   PubMed Web of Science ®Google Scholar
• Hooper, D., Coughlan, J., & Mullen, M. (2008, September). Evaluating model fit: A synthesis of the structural equation modelling literature. In 7th European Conference on research methodology for business and management studies (pp. 195–200).
   Google Scholar
• Hung, H. P. (2005). Ethnicity, gender, and the academic performance of adolescents: An examination of the influence of culture. State University of New York at Buffalo.
   Google Scholar
• Islam, M. M., Habes, E. M., & Alam, M. M. (2018). The usage and social capital of mobile phones and their effect on the performance of microenterprise: An empirical study. Technological Forecasting and Social Change, 132, 156–164. https://doi.org/10.1016/j.techfore.2018.01.029
   Web of Science ®Google Scholar
• Jeffreys, M. R. (2015). Jeffreys's nursing universal retention and success model: Overview and action ideas for optimizing outcomes A-Z. Nurse Education Today, 35, 425–431. https://doi.org/10.1016/j.nedt.2014.11.004
   PubMed Web of Science ®Google Scholar
• Junco, R. (2012). The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Computers & Education, 58(1), 162–171. https://doi.org/10.1016/j.compedu.2011.08.004
   Web of Science ®Google Scholar
• Jung, I. S. (2018). A study on related factors of nursing students’ self-efficacy, self-leadership and academic performance. Journal of Convergence for Information Technology, 8(5), 51–58. https://doi.org/10.22156/CS4SMB.2018.8.5.051
   Google Scholar
• Kenny, R. F., Neste-Kenny, V., Jocelyne, M. C., Burton, P., Park, C. L., & Qayyum, A. (2012). Using self-efficacy to assess the readiness of nursing educators and students for mobile learning. International Review of Research in Open and Distributed Learning, 13(3), 277–296. https://doi.org/10.19173/irrodl.v13i3.1221
   Google Scholar
• Kilber, J., Barclay, A., & Ohmer, D. (2014). Seven tips for managing generation Y. Journal of Management Policy and Practice, 15(4), 80.
   Google Scholar
• Klanecky, A. K., Woolman, E. O., & Becker, M. M. (2015). Child abuse exposure, emotion regulation, and drinking refusal self-efficacy: An analysis of problem drinking in college students. The American Journal of Drug and Alcohol Abuse, 41(2), 188–196. https://doi.org/10.3109/00952990.2014.998365
   PubMed Web of Science ®Google Scholar
• Klassen, R. M. (2010). Confidence to manage learning: The self-efficacy for self-regulated learning of early adolescents with learning disabilities. Learning Disability Quarterly, 33(1), 19–30. https://doi.org/10.1177/073194871003300102
   Web of Science ®Google Scholar
• Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
   Web of Science ®Google Scholar
• Li, K. C., Lee, L. Y. K., Wong, S. L., Yau, I. S. Y., & Wong, B. T. M. (2017). Effects of mobile apps on learning motivation and study performance of nursing students. In Cheung S., Kwok, Lf., Ma, W., Lee, L. Y. K., & Yang H. (Eds.), Blended Learning. New Challenges and Innovative Practices. ICBL 2017). Lecture Notes in Computer Science, vol 10309. Cham: Springer. https://doi.org/10.1007/978-3-319-59360-9_23
   Google Scholar
• Lin, H. H., Lin, S., Yeh, C. H., & Wang, Y. S. (2016). Measuring mobile learning readiness: Scale development and validation. Internet Research, 26(1), 265–287. https://doi.org/10.1108/IntR-10-2014-0241/full/html
   Web of Science ®Google Scholar
• Lin, X. F., Deng, C., Hu, Q., & Tsai, C. C. (2019). Chinese undergraduate students’ perceptions of mobile learning: Conceptions, learning profiles, and approaches. Journal of Computer Assisted Learning, 35(3), 317–333. https://doi.org/10.1111/jcal.12333
   Web of Science ®Google Scholar
• Lindqvist, E., & Vestman, R. (2011). The labor market returns to cognitive and noncognitive ability: Evidence from the Swedish enlistment. American Economic Journal: Applied Economics, 3(1), 101–128. https://doi.org/10.1257/app.3.1.101
   Web of Science ®Google Scholar
• Little, T. D., Rhemtulla, M., Gibson, K., & Schoemann, A. M.. (2013). Why the items versus parcels controversy needn’t be one. Psychological methods, 18(3), 285.
   PubMed Web of Science ®Google Scholar
• Mafla, A. C., Divaris, K., Herrera-López, H. M., & Heft, M. W. (2019). Self-efficacy and academic performance in Colombian dental students. Journal of Dental Education, 83(6), 697–705. https://doi.org/10.21815/JDE.019.079
   PubMed Web of Science ®Google Scholar
• Mthimunye, K. D. T., & Daniels, F. M. (2020). Exploring the challenges and efforts implemented to improve the academic performance and success of nursing students at a university in the Western Cape. International Journal of Africa Nursing Sciences, 100196. https://doi.org/10.1016/j.ijans.2020.100196
   Google Scholar
• Othman, M. S., & Musa, M. A. (2014). The improvement of students’ academic performance by using social media through collaborative learning in Malaysian higher education. Asian Social Science, 10(8), 210. https://doi.org/10.5539/ass.v10n8p210
   Google Scholar
• Parasuraman, A. (2000). Technology readiness index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320. https://doi.org/10.1177/109467050024001
   Google Scholar
• Priesack, A., & Alcock, J. (2015). Well-being and self-efficacy in a sample of undergraduate nurse students: A small survey study. Nurse Education Today, 35(5), e16–e20. https://doi.org/10.1016/j.nedt.2015.01.022
   PubMedGoogle Scholar
• Schunk, D. H., & Greene, J. A. (2018). Handbook of self-regulated learning and performance. Routledge.
   Google Scholar
• Schunk, D. H., & Pajares, F. (2009). Self-efficacy theory. I KR Wentzel, & A. Wigfield, A.(Red.) Handbook of motivation at school (s. 35–53).
   Google Scholar
• Sezer, B. (2021). Developing and investigating an electronic performance support system (EPSS) for academic performance. Australasian Journal of Educational Technology, 88–101. https://doi.org/10.14742/ajet.6121
   Google Scholar
• Shuja, A., Qureshi, I. A., Schaeffer, D. M., & Zareen, M. (2019). Effect of M-learning on students’ academic performance mediated by facilitation discourse and flexibility. Knowledge Management & E-Learning: An International Journal, 11(2), 158–200. https://doi.org/10.34105/j.kmel.2019.11.009
   Google Scholar
• Solberg, V. S., O'Brien, K., Villareal, P., Kennel, R., & Davis, B. (1993). Self-efficacy and hispanic college students: Validation of the college self-efficacy instrument. Hispanic Journal of Behavioral Sciences, 15(1), 80–95. https://doi.org/10.1177/07399863930151004
   Web of Science ®Google Scholar
• Stajkovic, A. D., Bandura, A., Locke, E. A., Lee, D., & Sergent, K. (2018). Test of three conceptual models of influence of the big five personality traits and self-efficacy on academic performance: A meta-analytic path-analysis. Personality and Individual Differences, 120, 238–245. https://doi.org/10.1016/j.paid.2017.08.014
   Web of Science ®Google Scholar
• Sung, Y. T., Chang, K. E., & Liu, T. C. (2016). The effects of integrating mobile devices with teaching and learning on students’ learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252–275. https://doi.org/10.1016/j.compedu.2015.11.008
   Web of Science ®Google Scholar
• Talsma, K., Schüz, B., Schwarzer, R., & Norris, K. (2018). I believe, therefore I achieve (and vice versa): A meta-analytic cross-lagged panel analysis of self-efficacy and academic performance. Learning and Individual Differences, 61, 136–150. https://doi.org/10.1016/j.lindif.2017.11.015
   Web of Science ®Google Scholar
• Tu, Y. F., & Hwang, G. J. (2018). Trends and research issues of mobile learning studies in hospitality, leisure, sport and tourism education: A review of academic publications from 2002 to 2017. Interactive Learning Environments, 28, 1–19. https://doi.org/10.1080/10494820.2018.1528285
   Web of Science ®Google Scholar
• Usher, E. L., & Pajares, F. (2008). Sources of self-efficacy in school: Critical review of the literature and future directions. Review of Educational Research, 78(4), 751–796. https://doi.org/10.3102/0034654308321456
   Web of Science ®Google Scholar
• Wang, Y. S. (2007). Development and validation of a mobile computer anxiety scale. British Journal of Educational Technology, 38(6), 990–1009. https://doi.org/10.1111/j.1467-8535.2006.00687.x
   Web of Science ®Google Scholar
• Warner, D., Christie, G., & Choy, S. (1998). The readiness of the VET sector for flexible delivery including online learning, EdNa-VET Working Group, ANTA, Brisbane.
   Google Scholar
• Wong, L. H., & Looi, C. K. (2011). What seams do we remove in mobile-assisted seamless learning? A critical review of the literature. Computers & Education, 57(4), 2364–2381. https://doi.org/10.1016/j.compedu.2011.06.007
   Web of Science ®Google Scholar
• Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods. Behavior Research Methods, 51(1), 409–428. https://doi.org/10.3758/s13428-018-1055-2
   PubMed Web of Science ®Google Scholar
• Yang, Z. (2020). A study on self-efficacy and its role in mobile-assisted language learning. Theory and Practice in Language Studies, 10(4), 439–444. https://doi.org/10.17507/tpls.1004.13
   Google Scholar
• Yu, A. Y., Tian, S. W., Vogel, D., & Kwok, R. C. W. (2010). Can learning be virtually boosted? An investigation of online social networking impacts. Computers & Education, 55(4), 1494–1503. https://doi.org/10.1016/j.compedu.2010.06.015
   Web of Science ®Google Scholar
• Zientek, L. R., Fong, C. J., & Phelps, J. M. (2019). Sources of self-efficacy of community college students enrolled in developmental mathematics. Journal of Further and Higher Education, 43(2), 183–200. https://doi.org/10.1080/0309877X.2017.1357071
   Web of Science ®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
   PubMed Web of Science ®Google Scholar
• Zimmerman, B. J. (2013). From cognitive modeling to self-regulation: A social cognitive career path. Educational Psychologist, 48(3), 135–147. https://doi.org/10.1080/00461520.2013.794676
   Web of Science ®Google Scholar