arXiv:2512.23834cs.CYcs.AI2025-12

巴西教师普遍看好AI教育应用,但面临培训与基础设施短板。

Artificial Intelligence for All? Brazilian Teachers on Ethics, Equity, and the Everyday Challenges of AI in Education

  • 通过346名教师问卷调查,分析其AI认知与使用现状。
  • 80%教师仅具基础AI知识,但超65%认可其促进个性化学习潜力。
  • 强调伦理与数字素养,呼吁政策支持与公平技术接入。

本研究探讨巴西中小学教师对通用人工智能(General Purpose AI)在教育中应用的感知。通过定量分析346名来自不同地区的教师问卷,发现尽管80.3%的教师仅具备基本或有限的AI知识,但对应用兴趣浓厚:80.6%关注交互内容生成,80.2%用于教案设计,68.6%用于个性化评估。65.5%教师认可AI促进包容性与个性化学习的潜力。参与者强调需讨论伦理、数字公民意识、技术依赖、偏见与透明性问题,呼应批判教育理念。然而,43.4%教师缺乏培训,41.9%缺少技术支持,学校普遍存在计算机、稳定网络与多媒体资源不足问题。研究显示,巴西当前仍处于自下而上的AI融入模式,缺乏官方课程指导与系统化教师培训。有效实施需整合公共政策、充分教师培训及技术公平获取,推动伦理、包容且契合本地情境的AI教育应用。

原文摘要 · Abstract (English)

This study examines the perceptions of Brazilian K-12 education teachers regarding the use of AI in education, specifically General Purpose AI. This investigation employs a quantitative analysis approach, extracting information from a questionnaire completed by 346 educators from various regions of Brazil regarding their AI literacy and use. Educators vary in their educational level, years of experience, and type of educational institution. The analysis of the questionnaires shows that although most educators had only basic or limited knowledge of AI (80.3\%), they showed a strong interest in its application, particularly for the creation of interactive content (80.6%), lesson planning (80.2%), and personalized assessment (68.6%). The potential of AI to promote inclusion and personalized learning is also widely recognized (65.5%). The participants emphasized the importance of discussing ethics and digital citizenship, reflecting on technological dependence, biases, transparency, and responsible use of AI, aligning with critical education and the development of conscious students. Despite enthusiasm for the pedagogical potential of AI, significant structural challenges were identified, including a lack of training (43.4%), technical support (41.9%), and limitations of infrastructure, such as low access to computers, reliable Internet connections, and multimedia resources in schools. The study shows that Brazil is still in a bottom-up model for AI integration, missing official curricula to guide its implementation and structured training for teachers and students. Furthermore, effective implementation of AI depends on integrated public policies, adequate teacher training, and equitable access to technology, promoting ethical, inclusive, and contextually grounded adoption of AI in Brazilian K-12 education.

教育AI教师培训数字公平伦理教育

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。