Based on Artificial Intelligence Technology: A Comprehensive Learning System

Abstract

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.