Innovation and Entrepreneurship Education (IAEE) Driven by Artificial Intelligence (AI)
- DOI
- 10.2991/978-94-6463-040-4_151How to use a DOI?
- Keywords
- Artificial intelligence; technology driven; innovation and entrepreneurship; entrepreneurship education
- Abstract
With the continuous development and progress of society, the value of scientific and technological innovation and entrepreneurship is becoming more and more obvious;In the process of innovation and entrepreneurship, schools have created a lot of social wealth for the society, and there is an urgent need to study the cultivation mechanism of innovation and entrepreneurship. Focusing on the research of IAEE driven by AI, this paper discusses and analyzes the application of AI in IAEE and the challenges of the application of AI in IAEE, and puts forward the natural language processing algorithm of AI; In order to verify the teaching effect of IAEE driven by AI, this paper makes an experimental comparison between the students' Entrepreneurship learning effect under the traditional mode and the AI teaching mode. The test results show that AI teaching provides a more favourable condition for IAEE, and fully proves the feasibility and effectiveness of IAEE driven by AI.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jing Wu AU - Ying Zhang PY - 2022 DA - 2022/12/27 TI - Innovation and Entrepreneurship Education (IAEE) Driven by Artificial Intelligence (AI) BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 1003 EP - 1008 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_151 DO - 10.2991/978-94-6463-040-4_151 ID - Wu2022 ER -