Current Situation and Prospect of AI Education Application
DOI:
https://doi.org/10.54097/4fm3ma48Keywords:
AI education, data-driven, teacher perspective, transparency and ethics.Abstract
This article reviews the current state of AI education applications and the challenges it faces. First, it introduces the research background and significance of AI education, and elaborates on the purpose and structure of the review. Next, by analyzing international application cases, it explores the practical situation of AI education in different countries, as well as the use of AI tools by teachers and students. Based on survey data, this article analyzes in detail teachers' understanding, use, and concerns about AI, while also statistically interpreting the situation of students participating in AI tools. The study finds that although AI education has shown great potential in personalized learning and teaching support, it still faces many challenges in terms of transparency, ethical considerations, and technology integration. In addition, the professional development needs of teachers are particularly prominent. Finally, this article summarizes the main findings, proposes future research directions and policy recommendations, emphasizing the importance of increasing transparency and strengthening teacher training to promote the healthy development of AI education.
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