| Issue |
SHS Web Conf.
Volume 190, 2024
2024 International Conference on Educational Development and Social Sciences (EDSS 2024)
|
|
|---|---|---|
| Article Number | 03024 | |
| Number of page(s) | 4 | |
| Section | Intelligent Technology Development and Talent Cultivation | |
| DOI | https://doi.org/10.1051/shsconf/202419003024 | |
| Published online | 18 April 2024 | |
Based on Artificial Intelligence Technology: A Comprehensive Learning System
School of Foreign Languages, Shanxi University, TaiYuan, China
With the flourishing development of artificial intelligence technology, the author has observed its successful applications in various fields and believes in its vast potential in the field of education. The author suggests that integrating the end-to-end learning system born out of this technology can address several industry pain points, such as significant individual differences among students, uneven distribution of educational resources, and limitations in assessment methods. This article provides a detailed introduction to the architecture and main functions of the system, including user interface and interactivity, as well as intelligent recommendation and customized learning paths. The core functionalities of intelligent recommendation and customization paths are highlighted, aiming to significantly enhance students' learning experiences and efficiency. The article also delves into the process of data integration and analysis, covering data collection and processing, as well as learning behavior analysis and model optimization.Furthermore, the article presents a preliminary simulation of the usage process, focusing on language learning, and discusses potential risks that may arise during the application, such as privacy protection, ownership of intellectual property rights, and the relationship between artificial intelligence and humans.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.