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Effect of the “Neuro-Adapter” generative AI environment on ninth-grade students’ spatial imagination skills across analytical and visual cognitive processing styles

Primary research

#825

T1new
Topic
unassigned (set during synthesis)
First seen
2026-07-27 13:13:53
Last seen
2026-07-27 13:13:53

Source raw items (1)

  • Semantic Scholar2026-07-27 13:13:17
    Effect of the “Neuro-Adapter” generative AI environment on ninth-grade students’ spatial imagination skills across analytical and visual cognitive processing styles

    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. 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. 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 ( η ² = 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. 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.