Leveraging cognitive computing for advanced behavioral and emotional data insights

The rapid advancement of cognitive computing has reshaped the landscape of behavioral and emotional data analysis across multiple fields. In the area of student mental health research, cognitive computing emerges as a pivotal tool, enabling deeper insights into complex behavioral and emotional patterns. This paper explores the application of cognitive computing on behavioral-emotional data analysis, detailing its role, transformative benefits, and inherent challenges in addressing mental health issues among students. Through comprehensive data analysis, we identify the primary factors driving current mental health concerns in student populations and evaluate the practical applications of cognitive computing in mitigating these issues. Furthermore, this paper provides an in-depth examination of how cognitive computing can drive innovative, data-driven solutions to enhance our understanding and management of behavioral and emotional health, positioning it as a crucial technology for proactive mental health support in educational settings. • The role of cognitive computing in students’ mental health is analyzed. • The advantages and challenges of cognitive computing are analyzed. • The importance of cognitive computing has been summarized through data analysis.