Introduction: This study investigated the effectiveness of a GenAI-based intelligent learning environment, “Neuro-Adapter,” as a cognitive scaffold for developing spatial imagination skills and reducing performance gaps based on cognitive processing styles. Methods:A quasi-experimental design was used with 45 ninth-grade students (control group, n = 23; experimental group, n = 22). Data were gathered using a Cognitive Processing Style Inventory and a Pre/Post Spatial Imagination Test over a 4-week timeline. Results:Pre-test results favored holistic-visual styles (0.05 ≥ α). On the post- test, the experimental group significantly outperformed the control group with a large effect size (η² = 0.86). Within the experimental group, a non- significant post-test difference (Sig = 0.067, Cohen’s d = 0.58) indicated that the environment successfully leveled the skill gap for sequential-analytical thinkers. Discussion: The “Neuro-Adapter” functioned effectively as an operational cognitive equalizer. We recommend integrating adaptive GenAI algorithms and tailored software scaffolding strategies into spatial education curricula.
