Smart Campus uses a variety of information technology methods based on big data to collect student (teacher) related learning and ability data, build a reasonable model, evaluate students' (teachers') knowledge and comprehensive abilities, and provide targeted opinions and suggestions for students in their learning and career development (or provide teachers with a comprehensive evaluation of their teaching, scientific research and career development, and provide targeted opinions and suggestions). For this purpose, a multi-dimensional and integrated ability building system is proposed.

 

A multi-perspective fusion framework is used to construct a student (teacher) ability matrix, and a variety of feature extraction methods are proposed for different types of data to construct a student multi-source feature system. The subjective and objective weightings are combined using the least squares combination weighting method to fuse the features of various ability features, calculate the scores of each ability, and better integrate the subjective and objective attributes to achieve the evaluation of student abilities, which is conducive to the comparison of students' single abilities and comprehensive abilities. At the same time, combined with NLP natural language processing technology and cosine similarity calculation, intelligent content recommendation is performed. Youth Mental Health Service Platform - Through the psychological problem early warning monitoring system for primary, secondary and college students, real-time early warning prediction and analysis of youth mental health is carried out, and personalized youth health early warning prediction and analysis reports are provided to students/parents by day, week, month, season and year, providing students/parents with full-process services for youth mental health, and providing social institutions and ecological partners with youth mental health service channels.