Year: 2026
Type: article
Abstract: Human drive, the energy that pushes us to begin, persist, and complete tasks, is one of the most important forces in learning and daily life. Most existing theories of motivation describe it in broad, qualitative terms. In 2025, Lagun's Law was introduced as a mathematical formula for drive, grounded in Cognitive Drive Architecture (CDA). The model defines drive through six interacting components: ignition (Primode), amplification (CAP), adaptability (Flexion), stability (Anchory), resistance (Grain), and variance (Slip). A published analysis of secondary student datasets showed that this law predicts academic performance, providing the first empirical support. This article summarizes the core model and proposes a practical framework for applying it in high school settings. By showing how each component can be measured with everyday student behaviors, the article opens a path for future primary research and highlights the promise of Lagun's Law as a foundation for the science of drive.
Author: Sudikshya Baniya
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4413278695