Optimizing Learning through Educational Psychology, Cognitive Load Theory, and Neuroplasticity Insights

In an economy where knowledge is power, learning, and implementing strategies is essential. Unlike other rote learning methods, deep learning with long-term retention of knowledge is rarely achieved with traditional rote methods. This paper integrates and enhances learning efficacy through applying educational psychology, cognitive load theory (CLT), and neuroplasticity. Using empirical research, the paper takes a systematic approach to instructional methodologies with spaced repetition, active recall, interleaving, metacognitive regulation, and learning efficiency. This concept is further combined with neuroplasticity defined as the ability of the brain to reorganize itself by forming neurological synaptic connections, allowing for cognitive flexibility and changeable adroit learning. Along with the cognitive önemli architectural alignment instructional adjustments methods, the paper also discusses technologies like AI adaptive learning platforms and personalized education systems.