Open AccessRETRACTED: Prediction Method of Innovation and Entrepreneurship Intention of Computer Majors Based on Artificial Intelligence Technology
Author(s) -
Zhang Jinbang,
FU Yan-ping
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1852/3/032011
Subject(s) - entrepreneurship , productivity , entrepreneurship education , plan (archaeology) , knowledge management , marketing , computer science , business , economics , economic growth , geography , archaeology , finance
With the rapid development of artificial intelligence technology, the cycle of transforming scientific and technological achievements into actual productivity is getting shorter and shorter, and technological progress and innovation and entrepreneurship have become decisive factors in economic and social development. However, the current stage of innovation and entrepreneurship education in my country has not been integrated into computer majors, which has reduced the effectiveness of innovation and entrepreneurship for computer majors. In this regard, the purpose of this article is to study the method of predicting innovation and entrepreneurial intentions of computer majors based on artificial intelligence technology. This article first understands and analyzes the current situation of innovation and entrepreneurship education in computer majors through questionnaires, visits and analysis, and analyzes the problems faced by innovation and entrepreneurship education in computer majors at this stage. After empirical analysis of the collected data, the experimental results show that the theoretical model based on artificial intelligence technology can effectively analyze the influencing factors of college students’ innovation and entrepreneurship intentions, and plan and guide them, and the degree of recognition of college students’ innovation and entrepreneurship has also been obtained. An improvement of about 20%, which has important guiding significance for the innovation and entrepreneurship of computer majors.