Computer interactive intelligent music therapy assisted student mental health information processing in life sciences

Area of Science:

• Mental Health
• Music Therapy
• Educational Psychology

Background:

• Student mental health is a growing concern, necessitating innovative therapeutic approaches.
• Traditional mental health interventions may not fully address the diverse needs of student populations.
• The integration of technology in mental healthcare offers new avenues for support and analysis.

Purpose of the Study:

• To explore music therapy as a viable intervention for diverse student groups.
• To analyze student behavioral habits and mental health activity drivers.
• To develop and simulate a student mental health data processing system.

Main Methods:

• Analysis of student daily behavioral patterns and mental health activity motivations.
• Development of a student mental health data processing system using .NET tools.
• Integration of Internet of Things (IoT) smart medical health monitoring architecture.

Main Results:

• Music therapy demonstrated a measurable positive effect on students' mental health.
• High school students surveyed were found to be suitable candidates for music therapy.
• The developed system effectively analyzes student mental health status using computer technology and IoT sensors.

Conclusions:

• Music therapy is an effective approach for enhancing student mental well-being.
• Technological integration, including .NET and IoT, significantly aids in analyzing and supporting student mental health.
• This study provides a framework for utilizing data-driven insights and music therapy in educational settings.