【作 者】：
祝智庭， 戴 岭， 胡 姣
【关 键 词 】：
高意识生成式学习； 人工智能生成内容； 教育数字化转型； 思维技能； 创新意识
【栏 目】：
理论探讨
【中文摘要】：
AIGC以开启教育数字化转型的新格局、创新多模态学习的新体验、赋能人机协同的新智慧为教育领域带来新的变革机遇，教育工作者亟须对这场即将到来的变革作全面冷静的思考。文章旨在把握AIGC带来的变革机遇，探索创新性的学习范式，引领教育数字化转型和智慧教育发展。围绕AIGC的生成特征和本质机理以及AIGC技术在教育中应用的实践反思，文章通过探索其技术赋能的教育创变，提出高意识生成式学习是AIGC赋能未来学习范式的创新点，进而剖析AIGC诸多算法模型叠加和各要素间的关联机制来明晰高意识生成式学习的内在机理和发展需要。文章认为，高意识生成式学习由五种要素构成：自主学习是高意识生成式学习的内驱力、自监督学习是高意识生成式学习的保障、思维技能是高意识生成式学习的关键、创新意识是高意识生成式学习的生命力、情感技能是高意识生成式学习的增强剂，五者共同构建了新学习范式的逻辑机理与实践路径。
【英文摘要】：
AIGC brings new opportunities for change in the field of education by opening a new pattern of digital transformation in education, innovating a new experience of multimodal learning, and empowering a new wisdom of human-computer collaboration. It is urgent for educators to think about the upcoming reform comprehensively and calmly. This paper aims to grasp the transformative opportunities brought by AIGC, explore innovative learning paradigms, and lead the digital transformation of education and the development of intelligent education. Focusing on the generative characteristics and essential mechanism of AIGC and the practical reflection on the application of AIGC technology in education, this paper proposes that higher consciousness generative learning is the innovation of AIGC to enable future learning paradigm by exploring its technology-enabled educational innovation. Furthermore, the superposition of many AIGC algorithm models and the correlation mechanism among various elements are analyzed to clarify the internal mechanism and development needs of higher consciousness generative learning. This paper argues that higher consciousness generative learning consists of five elements: self-directed learning is the internal drive, self-monitoring learning is the guarantee, thinking skills are the key, innovative consciousness is the vitality, and emotional skills are the enhancement of higher consciousness generative learning. The five elements jointly construct the logical mechanism and practical path of the new learning paradigm.