Motivational and Cognitive Synchronization of Learning through Quantum-Cognitive Simulation
DOI:
https://doi.org/10.5281/zenodo.22666524Keywords:
quantum cognition, educational simulation, contextual decoherence, motivational coherence, collaborative learning, real-time metricsAbstract
This study presents a reproducible, web-based agent-based model (ABM) that uses concepts from quantum cognition as formal computational analogies for context-sensitive changes in learner motivation, conceptual understanding, and peer-coupled updating. The model is coded in HTML5 and JavaScript and features seeded random-number generation, explicit update rules, system- and agent-level logging, CSV export, and batch simulation. The main Monte Carlo experiment comprised 50 independent runs for each of five educational contexts (30-s simulation horizon, integration step Δt = 0.05 s, 50 agents per run). Collaborative contexts yielded the highest final motivational coherence (M = 0.639, SD = 0.028), conceptual understanding (M = 0.450, SD = 0.011), entanglement density (M = 0.040, SD = 0.006), and collaboration index (M = 0.284, SD = 0.044), whereas assessment-focused contexts yielded the lowest coherence (M = 0.363, SD = 0.010) and conceptual understanding (M = 0.404, SD = 0.008). One-factor-at-a-time sensitivity analyses revealed that higher contextual decoherence led to lower coherence and understanding, higher coupling led to higher network density and synchronization, and higher assessment frequency led to higher simulated anxiety. Collectively, these patterns demonstrate that the model produces coherent, directionally interpretable system-level responses to changes in educational context and key parameters, and they yield concrete hypotheses about the interactions among motivational coherence, peer synchronization, conceptual understanding, and assessment anxiety. The simulation is therefore a useful tool for theory building, with predictions that can be compared with educational data and benchmarked against simpler, non-quantum-inspired ABMs.
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