Uğurcan Sert

Dr. Uğurcan Sert


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 November 2023 in Eğitim Teknolojisi Kuram ve Uygulama
Verified
Journal Article
Open access
PDF file
USUğurcan Sert
Uğurcan Sert
MSMustafa SARITEPECİ
Mustafa SARITEPECİ
This study defined the relationship between university students’ game addiction levels and cyberloafing behavior in educational settings with resilience and various variables. In this study, we used a prediction design -a correlational research model- to determine the relationship between the demographic characteristics of university students’ cyberloafing behavior in educational settings and their level of game addiction, ICT usage habits, and resilience. The data collected with the participation of 472 university students, 325 females and 147 males, were analyzed. According to the results, all six models created about game addiction are meaningful. The prominent variables in these models are daily playing time, gender, and gaming cyberloafing. Three of the four models created related to social and gaming cyberloafing are significant. The noticeable variables in social and gaming cyberloafing models are game addiction and gender. The models related to academic cyberloafing are not significant. This study contributes to the nomological network in the relevant field by projecting the relationships between cyberloafing, gaming addiction, and resilience in educational settings.


3 June 2026 in Computers
Verified
Journal Article
Open access
PDF file
USUğurcan Sert
Uğurcan Sert
EEESRA ERSOY
ESRA ERSOY
ÖTÖmür Tosun
Ömür Tosun
IHIrmak Hatıpoğlu
Irmak Hatıpoğlu
Vaccination stands as a preeminent public health measure in the fight against infectious diseases, with a proven track record of significantly reducing morbidity and mortality rates. However, the presence of vaccine hesitancy and misinformation, particularly evident during the course of the pandemic, has emerged as a significant challenge. The present study analyzes public perceptions of vaccination by examining YouTube comments on 215 vaccine-related videos, which total over 94,000 comments. Employing advanced topic modeling techniques, such as Hierarchical Dirichlet Process (hLDA), Latent Semantic Analysis (LSA), and Non-Negative Matrix Factorization (NMF), the study identifies key themes, including vaccine safety, side effects, pharmaceutical ethics, and public trust in healthcare authorities. The findings indicate that debates frequently center on political, social, and scientific concepts. Vaccine hesitancy has emerged as a pervasive global phenomenon that transcends cultural boundaries. The dissemination of misinformation regarding the efficacy of vaccines and the safety of treatments, such as ivermectin, is a prevalent phenomenon on social media platforms. This poses significant challenges to public health efforts. The subjects of child vaccination and parental standpoints are also recurring topics of concern. This study underscores the pivotal function of digital platforms such as YouTube in influencing public attitudes regarding vaccination. This underscores the necessity for targeted communication strategies, advanced digital literacy, and proactive policies by social media platforms to address misinformation and promote evidence-based information. Such precautions are imperative to sustaining elevated vaccination rates and safeguarding public health in the digital age.