Year: 2024
Type: conference-paper
Abstract: Driven by educational reform efforts, personalized learning has emerged as a pivotal concept for educational transformation. With their flexibility and convenience, online education platforms have become a major driver of personalized learning. Conducting differentiated teaching for learners with diverse backgrounds, levels, and interests has become a formidable challenge in Chinese education. However, artificial intelligence (AI), by leveraging data mining (DM) technology, simplifies the customization of personalized learning paths. This article delves deep into the application of AI in crafting personalized learning paths for Chinese teaching using data mining technology. The proposed system can effectively adapt learning plans to individual students, accurately predict their learning outcomes, and recommend appropriate learning resources. Experimental results indicate that this system enhances students’ motivation and promotes the advancement of personalized education in Chinese language teaching.
Authors: Shuai Yu, Xiaomin Jiang, Linlin Zhu
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4412524841