This study investigates pedagogical techniques for fostering interpretive evaluation of dynamical models within immersive learning environments in applied quantitative subjects. The increasing integration of computational tools and simulation technologies in education has shifted emphasis from procedural problem-solving toward conceptual understanding and interpretive reasoning. Dynamical systems, commonly represented through differential equations and iterative models, require learners to not only compute solutions but also interpret system behavior across time, parameter variations, and structural constraints.

A qualitative theoretical synthesis is conducted using foundational and contemporary literature in education theory, cognitive science, and mathematics pedagogy. The study draws upon experiential learning theory [1], sociocultural learning theory [2], constructivism [3], and constructionism [8], alongside research in simulation-based and active learning environments [15][16]. The analysis focuses on how immersive environments support learners in constructing meaning from dynamic representations through guided interaction, reflection, and abstraction.

Findings suggest that interpretive evaluation is strengthened through pedagogical strategies such as scaffolded exploration, reflective modeling, and multi-representational translation. However, cognitive overload and insufficient instructional scaffolding remain persistent challenges. The study concludes that immersive learning environments must be designed to balance exploration with structured cognitive guidance to optimize interpretive learning outcomes in quantitative disciplines.