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Analysis Of Technology Addiction Of High School and University Students Using Data Mining Techniques
2016
Journal:  
The Eurasia Proceedings of Educational & Social Sciences
Author:  
Abstract:

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.

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The Eurasia Proceedings of Educational & Social Sciences

Field :   Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Uluslararası

Metrics
Article : 276
Cite : 2.562
2023 Impact : 0.333
Details
The Eurasia Proceedings of Educational & Social Sciences