BAT–BPH Framework: Quantitative Model for Time-to-Knowledge Conversion in Gyanpeeth Architecture
This study introduces BAT–BPH Framework as a quantitative model for converting time into structured knowledge within system learnography and Gyanpeeth architecture. By integrating motor science, brainpage theory and Knowledge Transfer Management Systems (KTMS), the BAT–BPH framework transforms time and knowledge into a measurable, predictable, and performance-driven system. Converting Time into Knowledge Traditional education systems treat time as a passive variable measured through attendance and instructional hours, resulting in uncertain knowledge outcomes. In contrast, gyanpeeth framework operationalizes time as an active, convertible resource through Brainpage Added Time (BAT) and Brainpage Per Hour (BPH). The model establishes a direct relationship between time investment, knowledge construction, and performance output. ⏰ Research Introduction: Converting Time into Knowledge Time is the most universally allocated resource in education, yet it remains the least optimized variable ...