ANALYSIS OF TECHNOLOGY ADDICTION OF HIGH SCHOOL AND UNIVERSITY STUDENTS USING DATA MINING TECHNIQUES

The rapid evolution of technological devices also makes it increasingly challenging to determine which is the most needed. These devices have become addictive, especially for the young generation. In this study, we have made a survey was composed of 31 questions over total of 240 high school and university students to find out which criterions are related with each other in this survey. We have analyzed survey results using Apriori Algorithm that is one of the data mining techniques to ensure extracting some association rules. In the future, to increase social communication between individuals, based on these rules, a lesson about preventing technology addiction may be prepared than given to the students in high schools and universities to raise awareness.