【作 者】：
张 帅， 龚 蕾， 路宝利
【关 键 词 】：
非结构化学习环境； 学习环境； 数字化转型； 学习革命； 终身学习
【栏 目】：
学习环境与资源
【中文摘要】：
随着大数据、人工智能、区块链等高新技术在教育领域的深度应用，学习环境加速从结构化向非结构化转型，呈现出高度复杂性、开放性与非线性特征。通过回溯学习环境从线性、稳定的结构化向非线性、复杂的非结构化的演进脉络，揭示了技术驱动下学习模式转型的逻辑，即自然环境与网络环境的深度融合、纸质与数字资源的双向转化，以及物化技术与观念技术的系统演进，进一步分析了不同学习环境类型中非结构化特征的分阶段演变路径。非结构化学习环境在空间上更开放、资源上更动态、技术上更智慧。为应对非结构化学习环境带来的学习革命，需重构教育资源的组织逻辑、优化教学支持系统，探索多元、动态、智能的学习评价机制，服务个性化发展与终身学习目标，回应未来社会对高素养人才的需求。
【英文摘要】：
With the in-depth application of advanced technologies such as big data, artificial intelligence, and blockchain into the field of education, learning environments are accelerating their transition from structured to unstructured frameworks, characterized by increased complexity, openness, and non-linearity. By tracing the evolutionary trajectory of learning environments from linear, stable, structured ones to nonlinear, complex, unstructured ones, this study reveals the logic behind technology-driven transformation in learning modes, which is manifested as the deep integration of natural environments and network environments, the bidirectional conversion between paper-based resources and digital resources, and the systemic evolution of materialized technologies and conceptual technologies. The study further analyzes the phased evolution paths of unstructured characteristics across different types of learning environments. Unstructured learning environments are more open in space, more dynamic in resources, and more intelligent in technology. To address the learning revolution brought by unstructured learning environments, it is essential to reconstruct the organizational logic of educational resources, optimize the teaching support system, and develop diverse, dynamic, and intelligent assessment mechanisms, support personalized development and lifelong learning, and meet the needs of future society for high-quality talents.