<![CDATA[This study addresses the need to enhance school counselors’ professional competencies through innovative supervision approaches in the era of digital transformation. The study aimed to develop and validate a data analytics-based digital supervision model for school counseling using a mixed-methods design. The quantitative phase involved 150 school counselors whose competencies were measured using a validated scale (Cronbach’s ? = .89). Results showed a significant increase in competency scores from 3.45 (SD = 0.52) before the intervention to 4.21 (SD = 0.48) after the intervention, with a mean difference of 0.76. A paired-samples t-test indicated a statistically significant improvement, t(149) = 12.34, p < .001, with a large effect size (Cohen’s d = 1.29). The qualitative phase included 30 semi-structured interviews with counselors, supervisors, and school principals. Findings revealed improvements in digital literacy, reflective practice, evidence-based decision-making, collaboration, and professional competence supported by real-time feedback. The integrated findings led to the development of a digital supervision framework incorporating data dashboards, predictive analytics, and adaptive feedback mechanisms. The results demonstrate that data-driven digital supervision effectively strengthens school counselors’ competencies and supports continuous professional development in technology-enhanced educational environments.]]>
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