Prediction Method of Innovation and Entrepreneurship Intention of Computer Majors Based on Artificial Intelligence Technology. Issue 3 (April 2021)
- Record Type:
- Journal Article
- Title:
- Prediction Method of Innovation and Entrepreneurship Intention of Computer Majors Based on Artificial Intelligence Technology. Issue 3 (April 2021)
- Main Title:
- Prediction Method of Innovation and Entrepreneurship Intention of Computer Majors Based on Artificial Intelligence Technology
- Authors:
- Zhang, Jinbang
Fu, Yanping - Abstract:
- Abstract: 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 theAbstract: 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. … (more)
- Is Part Of:
- Journal of physics. Volume 1852:Issue 3(2021)
- Journal:
- Journal of physics
- Issue:
- Volume 1852:Issue 3(2021)
- Issue Display:
- Volume 1852, Issue 3 (2021)
- Year:
- 2021
- Volume:
- 1852
- Issue:
- 3
- Issue Sort Value:
- 2021-1852-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-04
- Subjects:
- Artificial Intelligence Technology -- Computer Major -- Innovation and Entrepreneurship -- Intention Prediction
Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1852/3/032011 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25659.xml