Research Article
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Year 2014, Volume: 15 Issue: 1, 114 - 127, 01.03.2014
https://doi.org/10.17718/tojde.45828

Abstract

References

  • Alobiedat, A. (2012). Faculty and student perception towards the appropriate and inappropriate use of mobile phones in the classroom at the University of Granada.
  • International Journal of Instructional Media, 39 (1), 7–16. Bradley, C.; Haynes, R.; Cook, J.; Boyle, T.; & Smith, C. (2009). In M. Ally (Ed.), Mobile learning: Transforming the delivery of education and training (pp. 9-24). Edmonton: AU Press.
  • Brown, L. (2008). Using mobile learning to teach reading to ninth-grade students (Ph.D.).
  • Capella University, United States, Minnesota. Retrieved from http://search.proquest.com.proxy.lib.wayne.edu/pqdtft/docview/304831964/abstract/13
  • C8E41FC17D0BBA8C/13?accountid=14925
  • Clark, T. (2001). Virtual schools: Trends and issues. A study of virtual schools in the United
  • States. San Francisco, CA: Western Regional Educational Laboratories. Retrieved from http://www.wested.org/online_pubs/virtualschools.pdf Clark, T. (2013). The evolution of K-12 distance education and virtual schools. In M. G.
  • Moore (Ed.) Handbook of distance education (3rd ed., pp. 555-573). New York: Routledge. Druin, A. (2009). Mobile technology for children: designing for interaction and learning.
  • Burlington: Elsevier Science. Haughey, M., & Muirhead, B. (1999). Virtual educations: Implications for society. Open
  • Education Research, 2/3, 13-18. Huang, J.-H., Lin, Y.-R., & Chuang, S. T. (2007). Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model. The Electronic Library, 25(5), 585–598. doi:10.1108/02640470710829569
  • Humble-Thaden, B. (2011). Student reflective perceptions of high school educational cell phone technology usage. Journal of Technology Studies, 37(1), 10–16.
  • Kiboss, J. K. (2012). Effects of special e-learning program on hearing-impaired learners’ achievement and perceptions of basic geometry in lower primary mathematics. Journal of
  • Educational Computing Research, 46(1), 31–59. Lenhart, A. (2012). Teens, smartphones & texting. In Washington, DC, Pew Internet &
  • American Life Project. Retrieved from http://wwww.pewinternet.com/~/media/Files/Reports/2012/PIP_Teens_Smartphones_and_Texting.pdf
  • Looi, C. K., Zhang, B., Chen, W., Seow, P., Chia, G., Norris, C., & Soloway, E. (2011). 1:1 mobile inquiry learning experience for primary science students: a study of learning effectiveness. Journal of Computer Assisted Learning, 27(3), 269–287.
  • Messinger, J. (2011). M-learning: An exploration of the attitudes and perceptions of high school students versus teachers regarding the current and future use of mobile devices for learning (Ed.D.). Pepperdine University, United States-California. Retrieved from http://search.proquest.com.proxy.lib.wayne.edu/pqdtft/docview/914201229/abstract/13
  • C8E41FC17D0BBA8C/11?accountid=14925
  • Miles, M., & Huberman, M. (1984). Qualitative data analysis: A source book for new methods. Thousand Oaks, CA: Sage Publications.
  • Nelson, L. L. (2012). The student voice: A study of learning experiences enriched by mobile technologies (Ed.D.). Western Illinois University, United States,Illinois. Retrieved from http://search.proquest.com.proxy.lib.wayne.edu/pqdtft/docview/1283387456/abstract/1 3C8E41FC17D0BBA8C/67?accountid=14925
  • Pachler, N. (2010). Mobile learning. Dordrecht: Springer. Retrieved from http://proxy.lib.wayne.edu/login?url=http://www.WAYNE.eblib.com/patron/FullRecord. aspx?p=511144
  • Pollara, P., & Broussard, K. K. (2011). Student perceptions of mobile learning: a review of current research. In Society for Information Technology & Teacher Education
  • International Conference 2011 (Vol. 2011, pp. 1643–1650). Retri eved http://editlib.org/p/36533
  • Rau, P. L. P., Gao, Q., & Wu, L. M. (2008). Using mobile communication technology in high school education: Motivation, pressure, and learning performance. Computers & Education, 50(1), 1–22. doi:10.1016/j.compedu.2006.03.008
  • Rogers, E. M. (2003). Diffusions of innovations (5th ed.). New York: Free Press.
  • Stake, R. (1995). The art of case research. Thousand Oaks, CA: Sage Publications.
  • Ting, Y. L. (2012). The pitfalls of mobile devices in learning: a different view and implications for pedagogical design. Journal of Educational Computing Research, 46(2), 119–134. doi:10.2190/EC.46.2.a
  • Traxler, J. (2009). Current state of mobile learning. In M. Ally (Ed.), Mobile learning:
  • Transforming the delivery of education and training (pp. 9-24). Edmonton: AU Press. Wang, S., & Heffernan, N. (2010). Ethical issues in computer-assisted language learning: perceptions of teachers and learners. British Journal of Educational Technology, 41(5), 796–813.
  • Watson, J., Murin, A., Vashaw, L., Gemin, B., & Rapp, C. (2012). Keeping pace with K-12 online learning: An annual review of state-level policy and practice. Evergreen, CO:
  • Evergreen Education Group. Retrieved from http://www.kpk12.com Yang, S. (2012). Exploring college students’ attitudes and self-efficacy of mobile learning.
  • Turkish Online Journal of Educational Technology - TOJET, 11(4), 148–154.

Any Time, Any Place, Any Pace-Really?
Examining Mobile Learning In A Virtual School Environment

Year 2014, Volume: 15 Issue: 1, 114 - 127, 01.03.2014
https://doi.org/10.17718/tojde.45828

Abstract

Over the past decade, the number of K-12 students engaged in online learning has increased from between 40,000 and 50,000 to more than two million. Students have also gained increased access to mobile devices throughout recent years, and educators have actively looked for ways to capitalize on this trend. A case study of students enrolled in an Advanced Placement European History course, offered by a statewide, supplemental virtual school in the Midwest. The students were studied over the course of four weeks, using Mobl21, an app that works on mobile devices, and offers an emulated version that runs on a computer. The results showed that despite the fact that existing literature indicated students’ perceptions were positive toward mobile technologies; these students’ perceptions were negative. The isolated implementation of the project may have affected these perceptions. However, students’ access to mobile devices limited the project implementation.

References

  • Alobiedat, A. (2012). Faculty and student perception towards the appropriate and inappropriate use of mobile phones in the classroom at the University of Granada.
  • International Journal of Instructional Media, 39 (1), 7–16. Bradley, C.; Haynes, R.; Cook, J.; Boyle, T.; & Smith, C. (2009). In M. Ally (Ed.), Mobile learning: Transforming the delivery of education and training (pp. 9-24). Edmonton: AU Press.
  • Brown, L. (2008). Using mobile learning to teach reading to ninth-grade students (Ph.D.).
  • Capella University, United States, Minnesota. Retrieved from http://search.proquest.com.proxy.lib.wayne.edu/pqdtft/docview/304831964/abstract/13
  • C8E41FC17D0BBA8C/13?accountid=14925
  • Clark, T. (2001). Virtual schools: Trends and issues. A study of virtual schools in the United
  • States. San Francisco, CA: Western Regional Educational Laboratories. Retrieved from http://www.wested.org/online_pubs/virtualschools.pdf Clark, T. (2013). The evolution of K-12 distance education and virtual schools. In M. G.
  • Moore (Ed.) Handbook of distance education (3rd ed., pp. 555-573). New York: Routledge. Druin, A. (2009). Mobile technology for children: designing for interaction and learning.
  • Burlington: Elsevier Science. Haughey, M., & Muirhead, B. (1999). Virtual educations: Implications for society. Open
  • Education Research, 2/3, 13-18. Huang, J.-H., Lin, Y.-R., & Chuang, S. T. (2007). Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model. The Electronic Library, 25(5), 585–598. doi:10.1108/02640470710829569
  • Humble-Thaden, B. (2011). Student reflective perceptions of high school educational cell phone technology usage. Journal of Technology Studies, 37(1), 10–16.
  • Kiboss, J. K. (2012). Effects of special e-learning program on hearing-impaired learners’ achievement and perceptions of basic geometry in lower primary mathematics. Journal of
  • Educational Computing Research, 46(1), 31–59. Lenhart, A. (2012). Teens, smartphones & texting. In Washington, DC, Pew Internet &
  • American Life Project. Retrieved from http://wwww.pewinternet.com/~/media/Files/Reports/2012/PIP_Teens_Smartphones_and_Texting.pdf
  • Looi, C. K., Zhang, B., Chen, W., Seow, P., Chia, G., Norris, C., & Soloway, E. (2011). 1:1 mobile inquiry learning experience for primary science students: a study of learning effectiveness. Journal of Computer Assisted Learning, 27(3), 269–287.
  • Messinger, J. (2011). M-learning: An exploration of the attitudes and perceptions of high school students versus teachers regarding the current and future use of mobile devices for learning (Ed.D.). Pepperdine University, United States-California. Retrieved from http://search.proquest.com.proxy.lib.wayne.edu/pqdtft/docview/914201229/abstract/13
  • C8E41FC17D0BBA8C/11?accountid=14925
  • Miles, M., & Huberman, M. (1984). Qualitative data analysis: A source book for new methods. Thousand Oaks, CA: Sage Publications.
  • Nelson, L. L. (2012). The student voice: A study of learning experiences enriched by mobile technologies (Ed.D.). Western Illinois University, United States,Illinois. Retrieved from http://search.proquest.com.proxy.lib.wayne.edu/pqdtft/docview/1283387456/abstract/1 3C8E41FC17D0BBA8C/67?accountid=14925
  • Pachler, N. (2010). Mobile learning. Dordrecht: Springer. Retrieved from http://proxy.lib.wayne.edu/login?url=http://www.WAYNE.eblib.com/patron/FullRecord. aspx?p=511144
  • Pollara, P., & Broussard, K. K. (2011). Student perceptions of mobile learning: a review of current research. In Society for Information Technology & Teacher Education
  • International Conference 2011 (Vol. 2011, pp. 1643–1650). Retri eved http://editlib.org/p/36533
  • Rau, P. L. P., Gao, Q., & Wu, L. M. (2008). Using mobile communication technology in high school education: Motivation, pressure, and learning performance. Computers & Education, 50(1), 1–22. doi:10.1016/j.compedu.2006.03.008
  • Rogers, E. M. (2003). Diffusions of innovations (5th ed.). New York: Free Press.
  • Stake, R. (1995). The art of case research. Thousand Oaks, CA: Sage Publications.
  • Ting, Y. L. (2012). The pitfalls of mobile devices in learning: a different view and implications for pedagogical design. Journal of Educational Computing Research, 46(2), 119–134. doi:10.2190/EC.46.2.a
  • Traxler, J. (2009). Current state of mobile learning. In M. Ally (Ed.), Mobile learning:
  • Transforming the delivery of education and training (pp. 9-24). Edmonton: AU Press. Wang, S., & Heffernan, N. (2010). Ethical issues in computer-assisted language learning: perceptions of teachers and learners. British Journal of Educational Technology, 41(5), 796–813.
  • Watson, J., Murin, A., Vashaw, L., Gemin, B., & Rapp, C. (2012). Keeping pace with K-12 online learning: An annual review of state-level policy and practice. Evergreen, CO:
  • Evergreen Education Group. Retrieved from http://www.kpk12.com Yang, S. (2012). Exploring college students’ attitudes and self-efficacy of mobile learning.
  • Turkish Online Journal of Educational Technology - TOJET, 11(4), 148–154.
There are 31 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Michael K. Barbour This is me

Tamme Quinn Grzebyk This is me

John Eye This is me

Publication Date March 1, 2014
Submission Date February 27, 2015
Published in Issue Year 2014 Volume: 15 Issue: 1

Cite

APA Barbour, M. K., Grzebyk, T. Q., & Eye, J. (2014). Any Time, Any Place, Any Pace-Really?
Examining Mobile Learning In A Virtual School Environment. Turkish Online Journal of Distance Education, 15(1), 114-127. https://doi.org/10.17718/tojde.45828