Year: 2024
Type: article
Abstract: Personalized teaching mode has become an important direction of education reform as an effective way to enhance students' learning effect and interest. This study aims to explore how to support personalized teaching through big data technology to enhance students' independent learning ability and learning interest. Through the analysis and mining of students' learning data, combined with the intelligent learning system, the study demonstrates how to customize learning paths and teaching resources according to students' individual needs. The study shows that personalized teaching based on big data can effectively improve the teaching effect and promote the personalization and autonomy of students' learning. The study conclusions show that the big data-driven personalized teaching model provides new ideas and solutions for the future development of higher education.
Authors: Xinyi Wu, Xinjiu Xie, Huiling Mo
Institution: Guangzhou College of Commerce
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
Funder: Air Force Civil Engineer Center
OpenAlex ID: W4409910576