Perceived impact of BYOD initiatives on post-secondary students’ learning, behaviour and wellbeing: the perspective of educators in Greece
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The pervasiveness of digital devices in almost every facet of student and faculty life leads to the integration of technology in teaching and learning practices of contemporary educational institutions. As an alternative strategy of technology integration, “Bring Your Own Device” involves the introduction of personal digital devices in numerous educational activities and transforms students’ learning experiences, behavioural responses and aspects of wellbeing. Due to the crucial role of tutors in the implementation of educational strategy, the present study examined the perceptions of 207 educators teaching in 9 post-secondary educational institutions in Greece with respect to the potential effects of “Bring your Own Device” on students’ learning, behaviour and wellbeing. Overall, the findings reveal that educators recognize the positive impact of “Bring your Own Device” initiatives on students’ learning, but demonstrate low agreement with the potential negative effects on students’ behaviour and wellbeing. Their perceptions are shaped, to a great extent, by individual characteristics and circumstances faced such as gender, familiarity with new technology, prior knowledge of “Bring you Own Device” and educational level in which they are teaching.
KeywordsBring your own device Post-secondary education Educational strategy Learning
All authors made substantial contributions to this study, have approved the manuscript and agree with submission to “Education and Information Technologies”.
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Compliance with ethical standards
Conflicts of interest
The authors declare that they have no conflict of interest.
- Al-Okaily, R. (2013). Mobile learning and BYOD: Implementations in an intensive English program. Learning and Teaching in Higher Education: Gulf Perspectives, 10(2), 1–17 https://doi.org/10.1.1.820.6859.Google Scholar
- Attewell, J. (2015). BYOD Bring Your Own Device: A guide for school leaders. Brussels: European Schoolnet’s Interactive Classroom Working Group.Google Scholar
- Baran, E. (2014). A review of research on mobile learning in teacher education. Educational Technology & Society, 17(4), 17–32.Google Scholar
- Bergner, R. M. (2011). What is behavior? And so what? New Ideas in Psychology, 29(2), 147–155. https://doi.org/10.1016/j.newideapsych.2010.08.001.MathSciNetGoogle Scholar
- Blayone, T., vanOostveen, R., Barber, W., DiGiuseppe, M., & Childs, E. (2017). Democratizing digital learning: Theorizing the fully online learning community model. International Journal of Educational Technology in Higher Education, 14(1), 13. https://doi.org/10.1186/s41239-017-0051-4.Google Scholar
- Carpenter, T. P., Fennema, E., Peterson, P. L., & Carey, D. A. (1988). Teachers' pedagogical content knowledge of students' problem solving in elementary arithmetic. Journal for Research in Mathematics Education, 385–401. https://doi.org/10.2307/749173.
- Cheever, N. A., Rosen, L. D., Carrier, L. M., & Chavez, A. (2014). Out of sight is not out of mind: The impact of restricting wireless mobile device use on anxiety levels among low, moderate and high users. Computers in Human Behavior, 37, 290–297. https://doi.org/10.1016/j.chb.2014.05.002.Google Scholar
- Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Boston, MA: Pearson Education.Google Scholar
- Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Thousand Oaks, CA: Sage Publications.Google Scholar
- Cristol, D., & Gimbert, B. (2013). Academic achievement in BYOD classrooms. QScience Proceedings, (12th world conference on mobile and contextual learning [mLearn 2013), 15.Google Scholar
- Dodge, R., Daly, A., Huyton, J., & Sanders, L. (2012). The challenge of defining wellbeing. International Journal of Wellbeing, 2(3), 222–235.Google Scholar
- El-Hussein, M. O. M., & Cronje, J. C. (2010). Defining mobile learning in the higher education landscape. Educational Technology & Society, 13(3), 12–21.Google Scholar
- Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). London: Sage.Google Scholar
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed). Harlow: Pearson Education Limited.Google Scholar
- Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford Press.Google Scholar
- Henderson, R. G., & Chapman, B. F. (2012). Business educators’ perceptions concerning mobile learning. Delta Pi Epsilon Journal, LIV(1), 16–27.Google Scholar
- Hockly, N. (2012). Tech-savvy teaching: BYOD. Modern English Teacher, 21(4), 44–45.Google Scholar
- Johnson, L., Becker, S. A., Estrada, V., & Freeman, A. (2015). NMC horizon report: 2015 higher Education Edition. Texas: The New Media Consortium. Austin.Google Scholar
- Lee, U., Lee, J., Ko, M., Lee, C., Kim, Y., Yang, S., Yatani, K., Gweon, G., Chung, K.M., & Song, J. (2014). Hooked on smartphones: An exploratory study on smartphone overuse among college students. Proceedings of the 32nd annual ACM conference on Human factors in computing systems (p. 2327-2336). ACM.Google Scholar
- Lennon, R.G. (2012). Bring Your Own Device (BYOD) with cloud 4 education. In Proceedings of the 3rd Annual Conference on Systems, Programming, And Applications: Software for Humanity (p. 171–180). ACM.Google Scholar
- MacCallum, K., Jeffrey, L., & Kinshuk (2014). Factors impacting teachers’ adoption of mobile learning. Journal of Information Technology Education: Research, 13, 141–162.Google Scholar
- Ossorio, P. G. (2006). The behavior of persons: The collected works of Peter G. Ossorio (Vol. 5). Ann Arbor, MI: Descriptive Psychology Press.Google Scholar
- Poushter, J. (2016). Smartphone ownership and internet usage continues to climb in emerging economies. Pew Research Center.Google Scholar
- Raths, J. (2001). Teachers’ beliefs and teaching beliefs. Early Childhood Research and Practice, 3(1) http://ecrp.uiuc.edu/v3n1/raths.html. Accessed 02 August 2018.
- Palmer Research (2013). Best practices for enabling BYOD in education. Palmer Research White Paper.Google Scholar
- Richardson, V. (1996). The role of attitudes and beliefs in learning to teach. Handbook of Research on Teacher Education, 2, 102–119.Google Scholar
- Sharples, M., Adams, A., Ferguson, R., Gaved, M., McAndrew, P., Rienties, B., Weller, M., & Whitelock, D. (2014). Innovating pedagogy 2014: Open University innovation report 3. Milton Keynes: The Open University.Google Scholar
- Shuler, C., Winters, N., & West, M. (2013). The future of mobile learning: Implications for policy makers and planners (pp. 7–35). Scientific and Cultural Organization (UNESCO): United Nations Educational.Google Scholar
- Stavert, B. (2013). Bring your own device (BYOD) in schools: 2013 literature review. Eveleigh: NSW Department of Education and Communities.Google Scholar
- Vasant, S., & Mehta, B. (2015). A case study: Embedding ICT for effective classroom teaching & learning. In Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1 (p. 541-547). Springer international publishing. https://doi.org/10.1007/978-3-319-13728-5_61.
- WSSDA. (2014). How is technology in the classroom defined? Bring your own device. WSSDA Research Blast: Technology in the Classroom.Google Scholar
- Yukselturk, E., & Bulut, S. (2009). Gender differences in self-regulated online learning environment. Journal of Educational Technology & Society, 12(3), 12–22.Google Scholar