With the rapid development of society, college students are facing the dual pressure of study and employment, which leads to an endless stream of mental health problems, and has become the focus of society, schools and families. Therefore, it is particularly important to do a good job in college students’ mental health education. College counselors are good teachers and good friends of students. They play an important guiding role in college students’ mental health education. They play an important role in improving students’ personality and mental health. This paper analyzes the advantages of college students’ psychological health education, and puts forward the effective participation strategies of college Students’ psychological health education.

The purpose of this paper is to discuss the innovative research on the instructional design and development of courses based on digital platforms. Firstly, the importance of digital platforms in the field of education and the current status of their application are introduced. Secondly, the concepts and key elements of course instructional design and development are analysed, and the role of digital platforms in course instructional design and development is discussed. Then, the innovative practices and methods of course instructional design and development based on digital platforms are described, including the integration and personalised customisation of learning resources, the construction and interactive communication of learning communities, and the improvement of evaluation and feedback.

In this study, the authors propose a method that combines CNN and LSTM networks to recognize facial expressions. To handle illumination changes and preserve edge information in the image, the method uses two different preprocessing techniques. The preprocessed image is then fed into two independent CNN layers for feature extraction. The extracted features are then fused with an LSTM layer to capture the temporal dynamics of facial expressions. To evaluate the method's performance, the authors use the FER2013 dataset, which contains over 35,000 facial images with seven different expressions. To ensure a balanced distribution of the expressions in the training and testing sets, a mixing matrix is generated. The models in FER on the FER2013 dataset with an accuracy of 73.72%. The use of Focal loss, a variant of cross-entropy loss, improves the model's performance, especially in handling class imbalance. Overall, the proposed method demonstrates strong generalization ability and robustness to variations in illumination and facial expressions. It has the potential to be applied in various real-world applications such as emotion recognition in virtual assistants, driver monitoring systems, and mental health diagnosis.

To rejuvenate the country through science and education, the university is an important position of China's personnel training system and a base for the production of human resources in our country. The higher education in the popularization stage has made a profound change in the employment mode of graduates, which makes the discipline structure and personnel training mode of colleges and universities adapt to the requirements of the market and society. Based on the employment situation of colleges and universities, this paper analyzes the significance, dilemma and suggestions of constructing a feedback mechanism for the quality of graduates, so as to help colleges and universities cultivate more high-quality talents.