Research on the Construction of an AI-powered Multilingual Experimental Teaching Resource Platform for Economics, Management, and Law
- DOI
- 10.2991/978-2-38476-462-4_3How to use a DOI?
- Keywords
- Artificial Intelligence; Economics, Management, and Law; Multilingual Teaching; Experimental Teaching Resource Platform; Personalized Recommendation
- Abstract
In the context of accelerating globalization and increasing international interactions, cross-cultural communication and adaptation skills, economic and management literacy, legal compliance awareness, and multilingual proficiency have become key indicators of comprehensive talent competitiveness. However, traditional educational models face numerous challenges in training students with these comprehensive abilities, particularly in effectively integrating interdisciplinary resources and providing efficient, personalized learning paths. The rapid development of artificial intelligence (AI) technology offers new opportunities to address these issues. This thesis, through the use of advanced data analysis and machine learning technologies, proposes and constructs an AI-powered multilingual experimental teaching resource platform for economics, management, and law. This platform not only improves learning efficiency but also enhances the pertinence and interest of learning, thereby promoting educational innovation to meet the needs of modern education.
- Copyright
- © 2025 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 - Wenyue Li AU - Lingchun Meng PY - 2025 DA - 2025/09/12 TI - Research on the Construction of an AI-powered Multilingual Experimental Teaching Resource Platform for Economics, Management, and Law BT - Proceedings of the 2025 9th International Seminar on Education, Management and Social Sciences (ISEMSS 2025) PB - Atlantis Press SP - 16 EP - 25 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-462-4_3 DO - 10.2991/978-2-38476-462-4_3 ID - Li2025 ER -