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The National Education Policy (NEP) 2020 significantly impacts students’ mental health by introducing a series of reforms aimed at creating a more balanced and supportive learning environment. This change reduces academic stress and fosters a deeper understanding of subjects. The term “student’s mental health” encompasses students’ psychological and emotional well-being, covering various aspects such as thoughts, feelings, and behaviors. It is crucial to recognize these features appropriately. This process enables identifying and prioritizing key factors that exert a substantial impact on academic outcomes. It explores the relationship between academic performance and the mental health of students. Therefore, a holistic approach has been made to scrutinize the consequences of the feature selection to analyze the mental health for the performance evaluation of students. The study uses a data-driven approach, collecting information from a diverse sample of students, including academic records, standardized test scores, and self-reported mental health assessments. The main objective of the research is to cultivate a more comprehensive and adaptive approach to student care, to enhance students’ overall well-being. By acknowledging the impact of the National Education Policy (NEP) 2020 and its reforms on students’ mental health, the study seeks to contribute to the creation of a learning environment that is not only academically enriching but also supportive of students’ psychological and emotional needs.

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Machine Learning-Driven Feature Selection for Performance Analysis in Student Mental Health

  • 会议论文

  • 发表日期：

    2025年

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  • Sukarna Dey Mondal,
  • Namita Tudu,
  • Payel Karmakar,
  • Samiha Baksi,
  • Dipendra Nath Ghosh,
  • Pabitra Kumar Dey

摘要

The National Education Policy (NEP) 2020 significantly impacts students’ mental health by introducing a series of reforms aimed at creating a more balanced and supportive learning environment. This change reduces academic stress and fosters a deeper understanding of subjects. The term “student’s mental health” encompasses students’ psychological and emotional well-being, covering various aspects such as thoughts, feelings, and behaviors. It is crucial to recognize these features appropriately. This process enables identifying and prioritizing key factors that exert a substantial impact on academic outcomes. It explores the relationship between academic performance and the mental health of students. Therefore, a holistic approach has been made to scrutinize the consequences of the feature selection to analyze the mental health for the performance evaluation of students. The study uses a data-driven approach, collecting information from a diverse sample of students, including academic records, standardized test scores, and self-reported mental health assessments. The main objective of the research is to cultivate a more comprehensive and adaptive approach to student care, to enhance students’ overall well-being. By acknowledging the impact of the National Education Policy (NEP) 2020 and its reforms on students’ mental health, the study seeks to contribute to the creation of a learning environment that is not only academically enriching but also supportive of students’ psychological and emotional needs.