Digital Pedagogy Optimization Using A/B Testing: A Technical Framework for Iterative Instructional Enhancement
Introduction Modern digital learning systems leverage real time analytics, adaptive interfaces, and AI-driven personalization. However, to objectively measure instructional effectiveness, A/B testing offers a controlled experimentation framework that supports quantitative evaluation of teaching methods, content formats, and user interactions. Unlike observational analysis, A/B testing introduces deliberate variation and controlled exposure to alternate pedagogical treatments under…
