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Journals / Yaşadıkça Eğitim Dergisi / 2022 / Cilt: 36 - Sayı: 1

The Investigation of Information and Communication Technology Overload and Social Networking Service Fatigue among College Students

Üniversite Öğrencilerinin Bilgi ve İletişim Teknolojileri Aşırı Yükleme ve Sosyal Ağ Tükenmişlik Durumlarının İncelenmesi

Ufuk TUĞTEKİN
Pages
126–145
Publication Date
2022-11-03
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition to descriptive statistics, the data analysis procedure involved the scrutiny of t-test, one-way ANOVA results and Pearson product-moment correlation coefficient values The findings revealed that women were prone to be affected by the rate of system pace of change and communication overload.

📌 3 Key Takeaways

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Objective & Hypothesis:This cross-sectional study is a quantitative research that aims to examine college students' information and communication technology overload and social networking service fatigue.
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Key Findings & Data:The study group consisted of a total of 416 college students.
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Conclusion & Impact:In addition to descriptive statistics, the data analysis procedure involved the scrutiny of t-test, one-way ANOVA results and Pearson product-moment correlation coefficient values The findings revealed that women were prone to be affected by the rate of system pace of change and communication overload.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This cross-sectional study is a quantitative research that aims to examine college students' information and communication technology overload and social networking service fatigue. The study group consisted of a total of 416 college students. The research data were collected online using the Turkish form of the “Information and Communication Technology Overload & Social Networking Service Fatigue”. In addition to descriptive statistics, the data analysis procedure involved the scrutiny of t-test, one-way ANOVA results and Pearson product-moment correlation coefficient values The findings revealed that women were prone to be affected by the rate of system pace of change and communication overload. On the other hand, it was determined that communication overload has a statistically significant difference according to the daily social network consumption and smartphone usage duration. Additionally, it was ascertained that there is a positive and statistically significant relationship between communication overload and daily social network consumption and smartphone usage duration.

Özet

Bu kesitsel çalışma, üniversite öğrencilerinin bilgi ve iletişim teknolojileri aşırı yükleme ve sosyal ağ tükenmişlik durumlarının incelemeyi amaçlayan nicel bir araştırmadır. Çalışma grubu toplam 416 lisans öğrencisinden oluşmaktadır. Araştırma verileri “Information and Communication Technology Overload & Social Networking Service Fatigue Scale”nin Türkçe formu kullanılarak çevrimiçi olarak toplanmıştır. Betimleyici istatistiklere ek olarak, veri analizi prosedürü, t-testi, tek yönlü ANOVA sonuçları ve Pearson momentler çarpımı korelasyon katsayısı değerlerinin incelenmesini içermektedir.Bulgular, kadınların sistem değişim hızından ve aşırı iletişimden etkilenmeye eğilimli olduklarını ortaya koymuştur. Öte yandan günlük sosyal ağ tüketimi ve akıllı telefon kullanım süresine göre iletişim aşırı yüklenmesinin istatistiksel olarak anlamlı bir farklılığa sahip olduğu belirlenmiştir. Ayrıca aşırı iletişim ile günlük sosyal ağ tüketimi ve akıllı telefon kullanım süresi arasında pozitif yönde ve istatistiksel olarak anlamlı bir ilişki olduğu tespit edilmiştir.

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Cite This Article

TUĞTEKİN, U. (2022). The Investigation of Information and Communication Technology Overload and Social Networking Service Fatigue among College Students. Yaşadıkça Eğitim Dergisi, Cilt: 36 - Sayı: 1, 126–145. https://ajindex.com/articles/646504

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References (8)

  1. Alter, A. (2017). Irresistible: The rise of addictive technology and the business of keeping us hooked. Penguin. Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831–858. https://doi.org/10.2307/41409963
  2. Balta, S., Jonason, P., Denes, A., Emirtekin, E., Tosuntaş, Ş. B., Kircaburun, K., & Griffiths, M. D. (2019). Dark personality traits and problematic smartphone use: The mediating role of fearful attachment. Personality and Individual Differences, 149, 214-219. https://doi.org/10.1016/j.paid.2019.06.005
  3. Barut Tugtekin, E., & Koc, M. (2020). Understanding the relationship between new media literacy, communication skills, and democratic tendency: Model development and testing. New Media & Society, 22(10), 1922-1941. https://doi.org/10.1177/1461444819887705
  4. Batista, J. & Marques, R. P. (2018). Considerations on information and communication overload issue in smart cities. O. Mealha, M. Divitini & M. Rehm (Ed.), Citizen, territory and technologies: Smart learning contexts and practices içinde (ss. 129–136).
  5. Springer. Bawden, D., & Robinson, L. (2009). The dark side of information: overload, anxiety and other paradoxes and pathologies. Journal of Information Science, 35(2), 180-191. https://doi.org/10.1177/0165551508095781
  6. Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2, 156–162. https://doi.org/10.1007/s40429-015-0054- y Bright, L. F., Kleiser, S. B., & Grau, S. L. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44, 148-155. https://doi.org/10.1016/j.chb.2014.11.048
  7. Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2018). Bilimsel araştırma yöntemleri (24. baskı). Pegem Akademi. Cao, X., & Sun, J. (2018). Exploring the effect of overload on the discontinuous intention of social media users: An SOR perspective. Computers in Human Behavior, 81, 10-18. https://doi.org/10.1016/j.chb.2017.11.035
  8. Cho, J., Ramgolam, D. I., Schaefer, K. M., & Sandlin, A. N. (2011). The rate and delay in overload: An investigation of communication overload and channel synchronicity on identification and job satisfaction. Journal of Applied Communication Research, 39(1), 38-54. https://doi.org/10.1080/00909882.