Assessing Your BYOD Program |
"We don't learn from experience. We learn from reflecting on experience."
-John Dewey |
Student, Parent & Teacher PerceptionsSimple surveys can be conducted to determine the BYOD perceptions of students, parents and teachers. The attached sample student survey could be administered to students at the end of a project or course that required the use of smartphones. Most online survey tools, like SurveyMonkey, allow users to share results online. Upon presenting the data to the class, teachers could facilitate a class dialogue on how the Smartphone BYOD program could be improved. The sample teacher survey is more suitable for a generic BYOD program. Similarly, the results could be presented at a staff meeting and dialogue among administrators, tech specialists and teachers could be encouraged.
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Student Engagement
Researchers, educators and policymakers are becoming increasingly focused on student engagement and how it can solve problems of low achievement, high levels of student boredom, alienation and high dropout rates (Fredricks, Blumenfeld & Paris, 2004). BYOD programs can increase student engagement and motivation (Cochrane & Bateman, 2010; Kim, Kim & Wachter, 2013). Several methods have been developed to measure student engagement. This table provides an overview of the advantages and disadvantages of each of these methods as identified by Fredricks and McColskey (2011).
Which method(s) could you use to determine students' level of engagement during BYOD activities? Please post your thoughts to BYOD Blog.
Methods to Assess Student Engagement
Conduct Your Own Educational Research
Little experimental and quasi-experimental research has been conducted to assess the effectiveness of BYOD programs in improving student performance.
The Methods sections in the following studies provide detailed descriptions of a mixed-method approach that could be used to experimentally determine the effectiveness of your BYOD program. Quantitative data is collected through pre- and post-tests and analyzed using two-tailed t-tests. Qualitative data is collected through observations and interviews.
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A Typical Quasi-Experimental Design
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