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Perceived impact of BYOD initiatives on post-secondary students’ learning, behaviour and wellbeing: the perspective of educators in Greece

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Abstract

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.

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Notes

  1. The variable “level of education” served as a rough measure of the educational context in Greece. It is hypothesized that educational context is shaped by the level of education because of probable differences in aspects such as entrance requirements and previous academic achievement of students, tutor selection criteria and facilities.

References

  • Abachi, H. R., & Muhammad, G. (2014). Τhe impact of m-learning technology on students and educators. Computers in Human Behavior, 30, 491–496. https://doi.org/10.1016/j.chb.2013.06.018.

    Article  Google Scholar 

  • Adams, S. K., & Kisler, T. S. (2013). Sleep quality as a mediator between technology-related sleep quality, depression, and anxiety. Cyberpsychology, Behavior, and Social Networking, 16(1), 25–30. https://doi.org/10.1089/cyber.2012.0157.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • Avramidis, E., & Norwich, B. (2002). Teachers' attitudes towards integration/inclusion: A review of the literature. European Journal of Special Needs Education, 17(2), 129–147. https://doi.org/10.1080/08856250210129056.

    Article  Google Scholar 

  • Baran, E. (2014). A review of research on mobile learning in teacher education. Educational Technology & Society, 17(4), 17–32.

    Google Scholar 

  • Bartlett, J. E., Kotrlik, J. W., & Higgins, C. C. (2001). Organizational research: Determining appropriate sample size in survey research. Information Technology, Learning, and Performance Journal, 19(1), 43 https://doi.org/10.1.1.486.8295.

    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.

    Article  MathSciNet  Google 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.

    Article  Google Scholar 

  • Burden, K. J., & Kearney, M. (2017). Investigating and critiquing teacher educators’ mobile learning practices. Interactive Technology and Smart Education, 14(2), 110–125. https://doi.org/10.1108/ITSE-05-2017-0027.

    Article  Google Scholar 

  • Burns-Sardone, N. (2014). Making the case for BYOD instruction in teacher education. Issues in Informing Science and Information Technology, 11(1), 192–200. https://doi.org/10.28945/1988.

    Article  Google Scholar 

  • Bye, D., Pushkar, D., & Conway, M. (2007). Motivation, interest, and positive affect in traditional and nontraditional undergraduate students. Adult Education Quarterly, 57(2), 141–158. https://doi.org/10.1177/0741713606294235.

    Article  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.

    Article  Google Scholar 

  • Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73. https://doi.org/10.2307/3150876.

    Article  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.

  • Demirci, K., Akgönül, M., & Akpinar, A. (2015). Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. Journal of Behavioral Addictions, 4(2), 85–92. https://doi.org/10.1556/2006.4.2015.010.

    Article  Google Scholar 

  • Dodge, R., Daly, A., Huyton, J., & Sanders, L. (2012). The challenge of defining wellbeing. International Journal of Wellbeing, 2(3), 222–235.

    Article  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 

  • Ertmer, P. A. (1999). Addressing first-and second-order barriers to change: Strategies for technology integration. Educational Technology Research and Development, 47(4), 47–61. https://doi.org/10.1007/BF02299597.

    Article  Google Scholar 

  • Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). London: Sage.

    Google Scholar 

  • Gikas, J., & Grant, M. M. (2013). Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media. The Internet and Higher Education, 19, 18–26. https://doi.org/10.1016/j.iheduc.2013.06.002.

    Article  Google Scholar 

  • Gorham, J. (1988). The relationship between verbal teacher immediacy behaviors and student learning. Communication Education, 37(1), 40–53. https://doi.org/10.1080/03634528809378702.

    Article  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 

  • Hargreaves, A. (2000). Mixed emotions: Teachers’ perceptions of their interactions with students. Teaching and Teacher Education, 16(8), 811–826. https://doi.org/10.1016/S0742-051X(00)00028-7.

    Article  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 

  • Huppert, F. A., & So, T. T. (2013). Flourishing across Europe: Application of a new conceptual framework for defining well-being. Social Indicators Research, 110(3), 837–861. https://doi.org/10.1007/s11205-011-9966-7.

    Article  Google Scholar 

  • Hutcheson, G., & Sofroniou, N. (1999). The multivariate social scientist: Introductory statistics using generalized linear models. London: Sage.

    Book  MATH  Google Scholar 

  • Ifenthaler, D., & Schweinbenz, V. (2013). The acceptance of tablet-PCs in classroom instruction: The teachers’ perspectives. Computers in Human Behavior, 29(3), 525–534. https://doi.org/10.1016/j.chb.2012.11.004.

    Article  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 

  • Kandell, J. J. (1998). Internet addiction on campus: The vulnerability of college students. Cyberpsychology & Behavior, 1(1), 11–17. https://doi.org/10.1089/cpb.1998.1.11.

    Article  Google Scholar 

  • King, J., Bond, T., & Blandford, S. (2002). An investigation of computer anxiety by gender and grade. Computers in Human Behavior, 18(1), 69–84. https://doi.org/10.1016/S0747-5632(01)00030-9.

    Article  Google Scholar 

  • Kong, S. C., & Song, Y. (2015). An experience of personalized learning hub initiative embedding BYOD for reflective engagement in higher education. Computers & Education, 88, 227–240. https://doi.org/10.1016/j.compedu.2015.06.003.

    Article  Google Scholar 

  • Lachman, S. J. (1997). Learning is a process: Toward an improved definition of learning. The Journal of Psychology, 131(5), 477–480. https://doi.org/10.1080/00223989709603535.

    Article  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.

  • 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.

  • Levin, T., & Wadmany, R. (2006). Teachers’ beliefs and practices in technology-based classrooms: A developmental view. Journal of Research on Technology in Education, 39(2), 157–181. https://doi.org/10.1080/15391523.2006.10782478.

    Article  Google Scholar 

  • MacCallum, K., Jeffrey, L., & Kinshuk (2014). Factors impacting teachers’ adoption of mobile learning. Journal of Information Technology Education: Research, 13, 141–162.

  • Mckercher Gillies, C. G. (2016). To BYOD or not to BYOD: Factors affecting academic acceptance of student mobile devices in the classroom. Research in Learning Technology, 24, 30357. https://doi.org/10.3402/rlt.v24.30357.

    Article  Google Scholar 

  • O'Bannon, B. W., & Thomas, K. (2014). Teacher perceptions of using mobile phones in the classroom: Age matters! Computers & Education, 74, 15–25. https://doi.org/10.1016/j.compedu.2014.01.006.

    Article  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 

  • Paraskeva, F., Bouta, H., & Papagianni, A. (2008). Individual characteristics and computer self-efficacy in secondary education teachers to integrate technology in educational practice. Computers & Education, 50(3), 1084–1091. https://doi.org/10.1016/j.compedu.2006.10.006.

    Article  Google Scholar 

  • Pearson, C., & Hussain, Z. (2016). Smartphone use, addiction, narcissism, and personality: A mixed methods investigation. International Journal of Cyber Behavior, Psychology and Learning, 5(1), 17–32. https://doi.org/10.4018/ijcbpl.2015010102.

    Article  Google Scholar 

  • Poushter, J. (2016). Smartphone ownership and internet usage continues to climb in emerging economies. Pew Research Center.

  • 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.

  • Richardson, V. (1996). The role of attitudes and beliefs in learning to teach. Handbook of Research on Teacher Education, 2, 102–119.

    Google Scholar 

  • Sang, G., Valcke, M., Van Braak, J., & Tondeur, J. (2010). Student teachers’ thinking processes and ICT integration: Predictors of prospective teaching behaviors with educational technology. Computers & Education, 54(1), 103–112. https://doi.org/10.1016/j.compedu.2009.07.010.

    Article  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 

  • Sherry, A., & Henson, R. K. (2005). Conducting and interpreting canonical correlation analysis in personality research: A user-friendly primer. Journal of Personality Assessment, 84(1), 37–48. https://doi.org/10.1207/s15327752jpa8401_09.

    Article  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 

  • Song, Y. (2014). Bring your own device (BYOD) for seamless science inquiry in a primary school. Computers & Education, 74, 50–60. https://doi.org/10.1016/j.compedu.2014.01.005.

    Article  Google Scholar 

  • Stavert, B. (2013). Bring your own device (BYOD) in schools: 2013 literature review. Eveleigh: NSW Department of Education and Communities.

    Google Scholar 

  • Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302–312. https://doi.org/10.1016/j.compedu.2008.08.006.

    Article  Google Scholar 

  • Thomas, K. M., O’Bannon, B. W., & Bolton, N. (2013). Cell phones in the classroom: Teachers’ perspectives of inclusion, benefits, and barriers. Computers in the Schools, 30(4), 295–308. https://doi.org/10.1080/07380569.2013.844637.

    Article  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.

  • Wang, Α. Ι. (2015). The wear out effect of a game-based student response system. Computers & Education, 82, 217–227. https://doi.org/10.1016/j.compedu.2014.11.004.

    Article  Google Scholar 

  • Wang, Y. S., Wu, M. C., & Wang, H. Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92–118. https://doi.org/10.1111/j.1467-8535.2007.00809.x.

    Article  Google Scholar 

  • 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 

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Authors and Affiliations

  1. Department of Business Administration, University of Piraeus, 80 Karaoli & Dimitriou St., 185 34, Piraeus, Greece

    Christos Livas & Ioannis Katsanakis

  2. Open University of Cyprus, 56 Yiannou Kranidioti Avenue, 2220, Latsia, Nicosia, Cyprus

    Eleni Vayia

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  1. Christos Livas
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All authors made substantial contributions to this study, have approved the manuscript and agree with submission to “Education and Information Technologies”.

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Livas, C., Katsanakis, I. & Vayia, E. Perceived impact of BYOD initiatives on post-secondary students’ learning, behaviour and wellbeing: the perspective of educators in Greece. Educ Inf Technol 24, 489–508 (2019). https://doi.org/10.1007/s10639-018-9791-6

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