This study explores the integration of Quantum Coherence Design Theory and the COM-B Behavior Change Model in higher education through an AI-assisted digital learning platform. The research aims to investigate how AI-driven educational frameworks can facilitate self-directed learning, behavioral transformation, and design innovation among university students. Using an action research methodology, the study examines students’ learning experiences across three interdisciplinary courses: Innovative Design Thinking, Quantum Coherence Design, and Human Factors Engineering Design. The findings demonstrate that a Co-Creation & Spontaneous Interaction model, supported by AI, effectively enhances student motivation, self-awareness, and adaptive learning behaviors. Through the COM-B framework, students developed capabilities for problem-solving, leveraged opportunities for interdisciplinary collaboration, and cultivated intrinsic motivation for continuous learning and personal growth. The AI-driven platform enabled students to engage in interactive design processes, access personalized learning recommendations, and implement innovative solutions aligned with sustainability and human-centered design principles. This research contributes to the development of a data-driven behavioral change framework, offering new perspectives for digital transformation in education. The results underscore AI’s potential in enhancing personalized learning, fostering social responsibility, and supporting long-term behavioral adaptation. Future studies will focus on refining AI-powered educational technologies and expanding their application in diverse learning environments to further promote holistic education and lifelong learning in the digital era.