AN APPROACH TO ASSESSING SOCIAL-EMOTIONAL DEVELOPMENT THROUGH DIGITAL DIAGNOSTICS
Abstract
This study explores the use of digital diagnostics for assessing students’ social-emotional development. Social-emotional skills, including self-awareness, self-regulation, empathy, relationship-building, and responsible decision-making, are crucial for learners’ overall development and academic success. Traditional assessment methods often fail to capture the dynamic nature of these competencies. Digital tools, including AI-driven platforms, gamified simulations, and wearable sensors, offer real-time and data-driven insights into students’ emotional and social behaviors. The integration of these tools allows educators to provide personalized support, monitor progress longitudinally, and implement targeted interventions. Despite technological advantages, challenges such as data privacy, ethical concerns, and access disparities must be addressed. This research highlights the transformative potential of digital diagnostics in promoting holistic student development and enhancing the effectiveness of social-emotional learning.References
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