With the rapid development of “generative artificial intelligence”, architectural students can easily produce impressive images. However, they are also prone to engaging in technical exercises disconnected from reality. Therefore, This study explores integrating “data modeling”, “object-oriented program”, morphological algorithms, and “digital twins “ into design courses to foster computational thinking in architectural design. Using action research, we developed the “Intelligent Information Architecture” (IIA) framework, comprising 4 design modules: notation, diagraming, sampling, mapping, and 2 technical modules: data modeling, prototyping. Implemented in an 18-week course for senior students, the IIA framework was evaluated through portfolio assessment, teacher observations, and expert feedback. The study proposes 5 “computer-supported cooperative work” strategies: 1) notation and data formatting, 2) diagrammatic workflow reassembly, 3) automated sampling and iterative data generation, 4) mixed-media prototyping and physical-virtual fitting, and 5) reflection through iterative optimization. Results indicate the IIA framework effectively cultivates abstract thinking, logical organization, and critical reasoning in architectural design education.