Quantifying Teachers’ Knowledge and Attitudes Toward Personal Data Protection Using Regression Models
DOI:
https://doi.org/10.15157/ijitis.2026.9.1.262-289Keywords:
Personal Data Protection, Cybersecurity Awareness, Teachers, Education Sector, Kosovo Schools, Questionnaire Survey, Regression Modelling, Logistic Regression, Data Breach Risk, Digital Learning SecurityAbstract
The use of digital platforms and mobile applications in schools has increased substantially, leading to a corresponding rise in the volume of personal data processed for educational purposes and highlighting the need to strengthen privacy awareness and cybersecurity practices among staff. This study examines teachers’ awareness, attitudes, and experiences regarding personal data protection in educational institutions in Kosovo using a structured questionnaire (N = 60). Instrument reliability was confirmed using Cronbach’s alpha (α = 0.715), while the suitability of multivariate analysis was supported by sampling adequacy and correlation structure (KMO = 0.679; Bartlett’s test p = 0.001). Two regression models were employed to assess the impact of educational level on (i) teachers’ knowledge of personal data protection and (ii) the perceived importance of data protection. Results indicate that both outcomes increase linearly and significantly with educational level, suggesting that higher educational attainment is associated with greater awareness and stronger valuation of data protection. Additionally, a binary incident model and association tests were used to examine gender differences in reported data-related incidents, revealing higher odds of incident reporting among male participants and significant disparities across attitude–behaviour indicators. Overall, the findings underscore the importance of systematic training and clear institutional policies to support secure data-handling practices and safeguard student privacy in digital learning environments.
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Copyright (c) 2025 Amet Shabani, Besnik Qehaja, Edmond Hajrizi, Habeeb Al-thabhawee, Andres Annuk, Hussein Alkattan, Mostafa Abotaleb

This work is licensed under a Creative Commons Attribution 4.0 International License.


