AI-Enabled Teaching Reform in Public Administration: Diverse Pathways and Practices for Risk Management Course
Year: 2025
Type: article
Abstract: In the context of the rapid development of artificial intelligence(AI), exploring the diverse pathways for integrating AI into the teaching of risk management courses in public administration is of positive significance for cultivating high-quality public risk managers adapted to the current complex risk environment. This research reflects on the existing problems in traditional teaching models and analyzes the theoretical and practical foundations of AI-enabled teaching reforms. By leveraging a multi-platform AI toolkit and the Rain Classroom hybrid teaching platform, a course reform plan is proposed, which includes intelligent learning situation analysis, dynamic updates of teaching content, interactive classroom teaching, and intelligent evaluation system. Practical verification has demonstrated that this plan effectively enhances students' learning interest, knowledge application capabilities, and practical operation skills. However, although the effect of AI-enabled teaching is obvious in the short term, its long-term use may also lead to problems such as thinking dependence, misinformation and academic misconduct. It is necessary to continuously track the effect of AI-enabled teaching and adopt adaptive teaching strategies to utilize its advantages and reduce the negative impact.
Author: <p>Cuizhen Xia<sup>1</sup>, Xiaojun Luo<sup>1</sup></p>
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
Funder: Guangxi Normal University
OpenAlex ID: W4412637710