数智赋能深度学习：课堂教学设计的分级逻辑与模型建构

Digital Intelligence Empowering Deep Learning: The Hierarchical Logic and Model Construction of Class Teaching Design

摘要: 本文基于教育数字化转型中的课堂教学现实问题，以数字化场域下深度学习发生的内在逻辑为基础，综合学习者的认知心理、情绪情感动态变化及知识建构的发展规律，提出促进深度学习的课堂教学设计分级模型。该模型以“数字化学习韧性”培育为贯穿全程的主线，以“情绪唤醒与基础适应”“交互协同与知识建构”“高阶思维与深度迁移”三个递进层级为内核，勾勒出学生从情感触发、社会建构到思维升华的发展轨迹，旨在推动数字化课堂从技术叠加转向融合，为课堂教学从浅层走向深层提供理论框架与指引。

Abstract: Grounded in the practical challenges of classroom teaching within the digital transformation, a hierarchical instructional design model that fosters deep learning is proposed in this paper based on the internal logic of deep learning in digital contexts, integrating the developmental patterns of learners’ cognitive psychology, emotional dynamics, and knowledge construction. The model takes the cultivation of “digital learning resilience” as its overarching thread, with the emotional arousal adaptation, interactive collaboration and knowledge construction, and “deep thinking and transfer” as the core, thereby charting a developmental trajectory from emotional triggering and social construction to cognitive elevation. It aims to shift digital classrooms from mere technological overlay to integration, and to offer a theoretical framework and guidance for advancing classroom teaching from surface engagement to deep learning.