The System 3 Method: integrating intuition, reason and creative metacognition for deep learning.

Educational psychology increasingly needs frameworks that connect deep learning, generative learning, learner agency, creative metacognition, and metacognitive control into a coherent account of how students learn. This Conceptual Analysis introduces the System 3 Method, a pedagogical framework in which learners are guided through iterative cycles that integrate intuitive salience and rational articulation under implicit and explicit metacognitive control. The article clarifies that System 3 is not an anatomical module and not a synonym for metacognition. It is defined as a functional coordination construct: the regulated coupling through which learners shift among intuitive orientation, generative construction, rational verification, integration, and transfer. The method translates this construct into GRIMT: Generation, Reflection, Integration/Iteration, Metacontrol, and Time. It further proposes NUD-novelty, usefulness, and diversity-as a complementary profile for evaluating creative learning trajectories alongside academic mastery, with novelty understood primarily as learner-relative mini-c creativity. The revised analysis situates the method more explicitly in relation to self-regulated learning, ICAP, generative learning, curiosity-driven conceptual change, knowledge integration, and learner-centered pedagogies. It also provides a worked instructional example, clarifies developmental and domain-specific boundary conditions, and distinguishes content-relevant meaningfulness from merely interesting or seductive details. Technology and artificial intelligence are discussed as possible generative scaffolds, adaptive critics, metacognitive mirrors, and process memories only when a human gate preserves authorship, verification, persistence, and transfer. The central contribution is a falsifiable framework for a pedagogy of creative metacognition: education should train learners not only to know more, but to participate more intelligently in constructing, evaluating, integrating, and transforming what they know.