This paper introduces “Component-Driven Structural Recomposition,” a novel learning framework in which learners recompose the semantic structure of learning content using components provided by teachers. This recomposition process facilitates deep learning through the following key features: (1) Triadic Knowledge and Experience Sharing: where teachers, learners, and the learning support system collaborate using shared components and structures to foster mutual understanding and effective communication. (2) Multimodal Integrated Learning: By utilizing multiple sensory modalities—visual, auditory, reading/writing, and kinesthetic (VARK)—learners enhance their comprehension of the target content through diverse perspectives. (3) Assisted Discovery Learning: Learners actively explore and assemble the provided components, discovering their roles and relationships within the structure. This process promotes active learning and encourages critical thinking. (4) Sustainable Learning with High-Quality Components and Structures: Components and structures designed by teachers ensure consistent quality, enabling learners to achieve meaningful and sustainable learning outcomes. (5) Reconstruction of Context Information as recognizing and resolving contextual information gaps between components and structure. This paper discusses this learning approach and the key features related to traditional learning theories.