Üniversite Öğrencilerinde Problemli İnternet Kullanımını Analiz Etmek İçin Veri Madenciliği Algoritmalarının ve İstatistiksel Hipotez Testinin Uygulanması

Yıl 2025, Cilt: 15 Sayı: 1, 248 - 271, 15.03.2025

Mümine Kaya Keleş , Elife Özer , Ömer Özer

https://doi.org/10.31466/kfbd.1537843

Öz

Bu çalışma, üniversite öğrencilerinin internet kullanım alışkanlıklarını ve bu alışkanlıkların belirli sosyodemografik ve davranışsal değişkenlerle ilişkili olup olmadığını anlamayı amaçlamaktadır. Veriler, Türkiye'deki bir devlet üniversitesinin sekiz programında öğrenim gören lisans öğrencilerine uygulanan Genelleştirilmiş Problemli İnternet Kullanımı Ölçeği 2 (GPIUS2) anketinden elde edilmiş ve Apriori Birliktelik Kuralı Madenciliği Algoritması ile istatistiksel hipotez testleri kullanılarak analiz edilmiştir. Toplamda 217 öğrencinin yanıtları, problemli İnternet kullanım alışkanlıklarına dair sonuçlar elde etmek amacıyla analiz edilmiştir. WEKA yazılımı kullanılarak yapılan analizler, özellikle erkek öğrenciler ve yüksek not ortalamasına sahip öğrenciler arasında "Duygu Düzenleme" boyutuyla anlamlı ilişkiler tespit etmiştir. Ayrıca, iletişim amaçlı telefon kullanımının "Olumsuz Sonuçlar" boyutuyla ilişkili olduğu bulunmuştur. Araştırmanın istatiksel hipotezlere ilişkin bulguları ise, üniversite öğrencilerinin problemli internet kullanımının kayıtlı oldukları program, medeni durum, kendi bildirdikleri günlük akıllı telefon kullanımı, akıllı telefon kullanımının birincil nedeni ve kendi bildirdikleri bağımlılık durumu ile istatistiksel olarak ilişkili olduğunu ortaya koymaktadır. Bu çalışma, veri madenciliği tekniklerinin sosyal bilimler ve eğitim araştırmalarında uygulanmasına yeni bir perspektif kazandırarak, internet kullanım alışkanlıkları, problemli İnternet kullanım ve sosyodemografik özellikler ve akademik başarı arasındaki ilişkiler hakkında kapsamlı çıkarımlar sunmakta ve böylelikle gelecekteki araştırmalara temel oluşturmaktadır.

Anahtar Kelimeler

Birliktelik Kuralı Madenciliği, Veri Madenciliği, Teknoloji Bağımlılığı Analizi, Problemli İnternet Kullanımı, Üniversite Öğrencileri

Etik Beyan

Çalışmaya ilişkin etik onayı Adana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi Bilimsel Araştırma ve Yayın Etiği Kurulu'ndan alınmıştır.

Application of Data Mining Algorithms and Statistical Hypothesis Testing to Analyze Problematic Internet Use among University Students

Öz

This study aims to understand university students' internet usage habits and whether these habits are associated with certain sociodemographic and behavioral variables. Data were obtained from the General Problematic Internet Use Scale 2 (GPIUS2) survey, administered to undergraduate students from eight programs at a state university in Türkiye, and analyzed using the Apriori Association Rule Mining Algorithm and statistical hypothesis testing. The responses from 217 students were analyzed to gain insights into their problematic internet use habits. Analysis conducted using WEKA software identified significant associations with the "Mood Regulation" dimension, particularly among male students and those with high GPAs. Additionally, communication-related smartphone usage was found to be associated with the "Negative Outcomes" dimension. The research findings also reveal that university students' problematic internet use is statistically associated with the program they are enrolled in, marital status, self-reported daily smartphone usage, primary reason for smartphone use, and self-reported addiction. This study contributes a new perspective to the application of data mining techniques in social sciences and educational research, providing valuable insights into the relationships between internet usage habits and problematic usage, thus laying a foundation for future research.

Anahtar Kelimeler

Association Rule Mining, Data Mining, Technological Addiction Analysis, Problematic Internet Use, University Students

Kaynakça

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