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Abstract   This work presents a standardized visual system for teaching endocrine regulation through progressively complex causal models. Building on established physiological principles, we introduce a three-tier framework that: 1) Core Physiology: Represents basic feedback loops using bidirectional radial axes and causal vectors. 2) Pathophysiological Integration: Demonstrates failure modes through open-loop and closed-loop collapse paradigms. 3) Clinical Correlation: Anchors high-yield disorders to specific vector configurations. The models employ consistent visual grammar across all tiers: - Parameters as radial axes (↑/↓ states) - Regulatory relationships as directional vectors - Pathologic states as anchored text modules. Designed to reduce cognitive load, this system enables pattern recognition across endocrine axes while maintaining fidelity to consensus mechanisms. Its layered structure supports adaptive teaching, from preclinical instruction to clinical reasoning, without requiring theoretical prerequisites. Classroom implementation aims improved learner performance in mapping regulatory disruptions to clinical presentations.   Keywords: endocrine feedback, visual pedagogy, causal modeling, loop dysregulation, hypothalamic-pituitary axes, clinical endocrinology, clinical reasoning   

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