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

Mümine Kaya Keleş; Elife Özer; Ömer Özer

doi:10.31466/kfbd.1537843

EN TR

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

Abstract

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.

Keywords

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

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

Abstract

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.

Keywords

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

Ethical Statement

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

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Details

Primary Language

English

Subjects

Computer Software, Engineering Education

Journal Section

Research Article

Authors

Mümine Kaya Keleş ^*
0000-0001-8414-1713
Türkiye

Elife Özer
0000-0002-5834-7483
Türkiye

Ömer Özer
0000-0001-8502-3145
Türkiye

Publication Date

March 15, 2025

Submission Date

August 23, 2024

Acceptance Date

January 23, 2025

Published in Issue

Year 2025 Volume: 15 Number: 1

DOI

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

IZ

https://izlik.org/JA75XA23DB

APA

Kaya Keleş, M., Özer, E., & Özer, Ö. (2025). Application of Data Mining Algorithms and Statistical Hypothesis Testing to Analyze Problematic Internet Use among University Students. Karadeniz Fen Bilimleri Dergisi, 15(1), 248-271. https://doi.org/10.31466/kfbd.1537843

AMA

1.Kaya Keleş M, Özer E, Özer Ö. Application of Data Mining Algorithms and Statistical Hypothesis Testing to Analyze Problematic Internet Use among University Students. KFBD. 2025;15(1):248-271. doi:10.31466/kfbd.1537843

Chicago

Kaya Keleş, Mümine, Elife Özer, and Ömer Özer. 2025. “Application of Data Mining Algorithms and Statistical Hypothesis Testing to Analyze Problematic Internet Use Among University Students”. Karadeniz Fen Bilimleri Dergisi 15 (1): 248-71. https://doi.org/10.31466/kfbd.1537843.

EndNote

Kaya Keleş M, Özer E, Özer Ö (March 1, 2025) Application of Data Mining Algorithms and Statistical Hypothesis Testing to Analyze Problematic Internet Use among University Students. Karadeniz Fen Bilimleri Dergisi 15 1 248–271.

IEEE

[1]M. Kaya Keleş, E. Özer, and Ö. Özer, “Application of Data Mining Algorithms and Statistical Hypothesis Testing to Analyze Problematic Internet Use among University Students”, KFBD, vol. 15, no. 1, pp. 248–271, Mar. 2025, doi: 10.31466/kfbd.1537843.

ISNAD

Kaya Keleş, Mümine - Özer, Elife - Özer, Ömer. “Application of Data Mining Algorithms and Statistical Hypothesis Testing to Analyze Problematic Internet Use Among University Students”. Karadeniz Fen Bilimleri Dergisi 15/1 (March 1, 2025): 248-271. https://doi.org/10.31466/kfbd.1537843.

JAMA

1.Kaya Keleş M, Özer E, Özer Ö. Application of Data Mining Algorithms and Statistical Hypothesis Testing to Analyze Problematic Internet Use among University Students. KFBD. 2025;15:248–271.

MLA

Kaya Keleş, Mümine, et al. “Application of Data Mining Algorithms and Statistical Hypothesis Testing to Analyze Problematic Internet Use Among University Students”. Karadeniz Fen Bilimleri Dergisi, vol. 15, no. 1, Mar. 2025, pp. 248-71, doi:10.31466/kfbd.1537843.

Vancouver

1.Mümine Kaya Keleş, Elife Özer, Ömer Özer. Application of Data Mining Algorithms and Statistical Hypothesis Testing to Analyze Problematic Internet Use among University Students. KFBD. 2025 Mar. 1;15(1):248-71. doi:10.31466/kfbd.1537843

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

Abstract

Keywords

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

Abstract

Keywords

Ethical Statement

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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