Future studies that focus on the teacher’s role and how it can affect student performance in a 1:1 sce nario may provide additional insight. Though the results of this study did not provide conclusive evidence that 1:1 computing has an effect on student performance, it did provide some insight into the confounding variables
MOBILE DEVICE IMPACT ON STUDENT PERFORMANCE 32 that can influence future studies. It is the desire of the researcher that this study will open dialog among school officials, teachers, and instructional technology leaders to the potential impact of 1:1 computing and the necessary changes to effectively change instructional practices. This researcher suggests a long term study, on a larger sample, with a full 1:1 implementation to more accurately measure the effects of 1:1 computing in this school system.
MOBILE DEVICE IMPACT ON STUDENT PERFORMANCE 33 References The Abell Foundation. (2008). One-to- one computing in public schools: Lessons from “Laptops for All” programs. Retrieved from Anderson, R., & Williams, R. (2012). Texas agricultural science teachers’ attitudes toward informat ion technology. Journal of Career and Technical Education, 27 (2) , 57-68. Retrieved from Bebell, D. & Kay, R. (2010). 1:1 computing: A summary of the quantitative results from the Berkshire Wireless Learning Initiative. Journal of Technology, Learning, and Assessment, 9 (2) , 1-59. Retrieved from Cavanaugh, C., Dawson, K., & Ritzhaupt, A. (2011). An evaluation of the conditions, processes, and consequences of laptop computing in K-12 classrooms. Journal of Educational Computing Research. 45 (3), 359-378. Chang, C. – C., & Wu, B. – H. (2012). Is teacher assessment reliable for high school students under a web-based portfolio environment? Educational Technology & Society, 15 (4) , 265-278. Crichton, S., Pegler, K., & White, D. (2012). Personal devices in public settings: Lessons learned from an ipod touch / ipad project. The Electronic Journal of e-Learning, 10 (1) , 23-32. Retrieved from Dawson, K., Cavanaugh, C., & Ritzhaupt, A. (2008). Florida’s EETT leveraging laptops initiative and its impact on teaching practices. Journal of Research on Technology in Education, 41 (2), 143- 159. De Winter, J.C.F. (2013). Using the student’s t -test with extremely small sample sizes. Practical Assessment, Research & Evaluation, 18 (10) , 1-12.
MOBILE DEVICE IMPACT ON STUDENT PERFORMANCE 34 Donovan, L., Green, T., & Hartley, K. (2010). An examination of one-to-one computing in the middle school: Does increased access bring about increased student engagement? Journal of Educational Computing Research, 42 (4), 423-441. Drayton, B., Falk, J. K., Stroud, R., Hobbs, K., & Hammerman, J. (2010). After installation: Ubiquitous computing and high school science in three experienced, high-technology schools. Journal of Technology, Learning, and Assessment, 9 (3), 5-56.
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