Leveraging Big Data to Analyze Social Environmental Influences on Student Mental Health Education: A Biotechnological Approach

Abstract

The advent of big data technology has revolutionized numerous aspects of daily life, from work habits to ideological frameworks. Particularly, it has altered how the social environment influences student mental health, introducing new challenges and requirements for mental health education. This study explores the impact of social environmental factors on students' mental health within the context of big data. We analyze these factors through a multi-faceted lens comprising social-political contexts, family environments, educational settings, and individual social interactions, both from subjective and objective perspectives. Our findings indicate that a stable external political environment significantly enhances student well-being, contributing positively to their mental health. Additionally, supportive family and educational environments are crucial in fostering robust mental resilience among students. These conducive atmospheres are essential for developing the mental competencies necessary to thrive in today’s demanding educational and social landscapes. The research underscores the critical role of big data in identifying and analyzing the complex interplay of factors affecting student mental health, offering insights that can guide the development of more effective mental health educational programs and policies. This study contributes to the biotechnological field by demonstrating how big data can be employed to improve health outcomes, aligning with the Journal of Commercial Biotechnology's focus on innovative solutions at the intersection of technology and health.