The effective integration of generative artificial intelligence in education is a fundamental aspect to prepare future generations. This study proposes an accelerated learning methodology in artificial intelligence, focused on its generative capacity, as a way to achieve this goal. It recognizes the challenge of getting teachers to engage with new technologies and adapt their methods in all subjects, not just those related to AI. This methodology not only promotes interest in science, technology, engineering and mathematics, but also facilitates student understanding of the ethical uses and risks associated with AI. Students' perceptions of generative AI are examined, addressing their emotions towards its evolution, evaluation of its ethical implications, and everyday use of AI tools. In addition, AI applications commonly used by students and their integration into other disciplines are investigated. The study aims to provide educators with a deeper understanding of students' perceptions of AI and its relevance in society and in their future career paths.

翻译：在教育中有效整合生成式人工智能是为未来世代做好准备的关键环节。本研究提出一种以生成能力为核心的人工智能加速学习方法论，作为实现该目标的途径。研究认识到促使教师接触新技术并调整所有学科（不仅限于人工智能相关领域）教学方法的挑战。该方法不仅有助于提升学生对科学、技术、工程和数学的兴趣，还能促进他们对人工智能伦理应用及相关风险的理解。本文考察了学生对生成式人工智能的认知，包括对其发展的情感态度、伦理影响的评估以及人工智能工具的日常使用情况。此外，研究还探究了学生常用的人工智能应用及其在其他学科的融合实践。本研究旨在帮助教育者更深入地理解学生对人工智能的认知，以及人工智能在社会及其未来职业发展中的重要意义。