Evaluating the Impact of Training Programs Supported by Education Commissions on AI Teaching Quality

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.

Publication Details

Journal
Frontiers in Educational Research
Published
2025-01-01
DOI
https://doi.org/10.25236/fer.2025.080523
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluating the Impact of Training Programs Supported by Education Commissions on AI Teaching Quality

Frontiers in Educational Research
Online Learning and Analytics
article

Evaluating the Impact of Training Programs Supported by Education Commissions on AI Teaching Quality

article en

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.

Frontiers in Educational ResearchVol. 8(5)
University of Shanghai for Science and Technology
Quality Education
Openalex Percentile: Top 84%
Online Learning and Analytics
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