Evaluating the Impact of Training Programs Supported by Education Commissions on AI Teaching Quality
Year: 2025
Type: article
Study design: Observational Study
Abstract: The integration of Artificial Intelligence (AI) in education has prompted the need for effective training programs to enhance teaching quality. Supported by education commissions, these programs aim to equip educators with the necessary skills to utilize AI technologies in their teaching practices. This study employs a mixed-methods approach, combining quantitative surveys and qualitative interviews to assess the impact of training programs on AI teaching quality. Participants include educators from various institutions who have undergone AI-focused training. Preliminary findings indicate a significant improvement in teaching quality post-training, as evidenced by increased proficiency in AI tools and enhanced student engagement. Educators reported greater confidence and competence in applying AI techniques within their curricula. The results suggest that training programs supported by education commissions play a crucial role in advancing AI teaching quality. Challenges such as resource allocation and curriculum integration are discussed, alongside recommendations for future program enhancements. Training programs are pivotal in fostering AI teaching excellence, contributing to the broader educational landscape by preparing educators to meet the demands of modern teaching environments. Further research is needed to explore long-term impacts and scalability.
Author: <p>Shu Wu, Yibo Wang, Yucheng Lin</p>
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4411903066