In the dynamic landscape of higher education, there is a growing need to comprehend and address student stress. This demand has led to the development of a comprehensive Computational Analysis Framework for University Student Stress. The framework aims to develop the field by introducing innovative tools and systems for data collection, preparation, exploratory data analysis, principal component analysis, and clustering. Unlike existing methodologies, our approach pioneers a systematic and technologically advanced solution to analyze stress levels and coping strategies among university students.
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Lertnimitphan et al. (2024) studied this question.
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