Exploration and Reform of “Online+Offline” Blended Teaching in Science and Engineering Courses Based on Artificial Intelligence
Year: 2025
Type: article
Abstract: “Online+Offline” blended learning has produced significant benefits in higher education teaching, but currently there are problems such as a single mode and difficulty in effectively integrating with AI technology. Based on this, this article proposes a reform and practical exploration of “Online+Offline” blended learning based on artificial intelligence. It mainly elaborates on the organic integration of artificial intelligence and blended teaching from three aspects: mode reform and practice, online and offline feedback reform and practice based on AI big models, and online library resource reform and practice. The research content of this article will provide reference for opening up new “Online+Offline” blended learning models.
Source: Education Study
DOI: 10.35534/es.0707155
Authors: Zhang Jinling, Zhang Zhao, Wang Zhongbi, Pan Juan
Language: English
Topic: Online and Blended Learning
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4413229680