Narrow Results

In order to improve the prediction accuracy of college students’ Internet+mass entrepreneurship and innovation practice effect, a prediction method based on an evolutionary algorithm is proposed. By comprehensively considering the family, school, personal, and social backgrounds of college students, a comprehensive evaluation index is constructed, and an objective function is set to minimize the distance between the questionnaire weight and the ideal weight. To avoid the evolutionary algorithm getting stuck in local optima, a simulated annealing strategy is introduced to optimize the mutation process, enhancing the algorithm’s performance. Experimental verification shows that this method not only selects evaluation indicators accurately and has high prediction accuracy, but also has a fast solving speed. It has been successfully applied in multiple universities, providing an effective tool for evaluating and improving the effectiveness of college students’ entrepreneurship and innovation practices.

Currently, college new media, represented by the internet and mobile media, have become major approaches for young people’s learning and life .There are three main models as college new media in Universities in Jiangsu. This paper emphasizes, introduces and explores the construction approaches emphatically of the models, they are respectively College Student Work Innovation Model based on WeChat, College Students’ Work Innovation Model based on PU Platform and College Students’ work innovation model under the background of ‘Internet+’. The student work in the background of Internet+ links school information release, student activity organization and second class development closely together, and meanwhile it can open up a welcome channel for freshmen to provide them with omnidirectional one-stop comprehensive guidance and services to explore a new mode of freshman education.