Research on the Application of BP Algorithm of Neural Network in Teaching Quality Evaluation
摘要
The role of mental health in the personality growth of college students is very important, but there is a problem of inaccurate outcome assessment. In the field of education, the evaluation of teaching quality is a key link to measure the effectiveness of education, improve teaching methods and improve the quality of education. With the development of education informatization, the traditional teaching evaluation method can no longer meet the diversified needs of modern education. The evaluation of teaching quality should not only consider students' academic performance, but also pay attention to multiple dimensions such as teaching process, teaching methods, and teaching environment, so as to fully reflect the comprehensive effect of education. In addition, through scientific teaching quality evaluation, problems in teaching can be identified, data support can be provided for educational decision-making, teachers' professional development can be promoted, educational resources allocation can be optimized, and the overall level of education can be improved.MBTI simulation shows that under certain evaluation criteria, the intelligent analysis system of college students' mental health is effective for college students Mental health accuracy and mental health duration were better than behavioral performance evaluation.