The Effect of Screen Time on Education
Grade Level at Time of Presentation
Secondary School
Institution
Project Lead The Way - Kentucky
KY House District #
23
KY Senate District #
9
Faculty Advisor/ Mentor
Robert Bauer
Abstract
Children are now growing up in environments influenced by new technological advancements and are being exposed to more screens such as cell-phones, televisions, tablets, and computers. In everyday life, these devices have become more prevalent in society for informational purposes. Heavy media use has been known to cause health and developmental concerns for adolescents. We have partnered with the University of Louisville/Glasgow Family Medicine Residency to conduct research on the effects of screen time. By conducting a school-wide survey posing students with questions related to their ACT score, grade-point average, and amount of time spent on screens, we were able to compile a substantial amount of data. Analyzing the data will help us determine if there is a negative correlation between the amount of screen time and a student’s education. With our data, we will be able to perform a linear regression analysis to generate an equation and R squared value. Together, we will use our data to effectively communicate the results found based upon the statistical analysis.
The Effect of Screen Time on Education
Children are now growing up in environments influenced by new technological advancements and are being exposed to more screens such as cell-phones, televisions, tablets, and computers. In everyday life, these devices have become more prevalent in society for informational purposes. Heavy media use has been known to cause health and developmental concerns for adolescents. We have partnered with the University of Louisville/Glasgow Family Medicine Residency to conduct research on the effects of screen time. By conducting a school-wide survey posing students with questions related to their ACT score, grade-point average, and amount of time spent on screens, we were able to compile a substantial amount of data. Analyzing the data will help us determine if there is a negative correlation between the amount of screen time and a student’s education. With our data, we will be able to perform a linear regression analysis to generate an equation and R squared value. Together, we will use our data to effectively communicate the results found based upon the statistical analysis.