Learning Capability Index (LCI): A Framework for Real-Time Adaptive Human Capability Measurement in Education

Abstract

This paper presents the Learning Capability Index (LCI), a proprietary framework developed at the Master Research and Development Institute (MRDI) to quantify, measure and understand the enhancements in learner cognitive performance in real time. Conventional educational assessments measure memory recall through static examinations, failing to capture the dynamic, behavioural dimensions of learning capability. LCI addresses this gap by introducing a six-parameter weighted scoring engine that evaluates Accuracy, Time Efficiency, Engagement Level, Consistency, Forgetfulness Factor, and Self-Confidence Index. The normalized output score (0 to 100) measured by individually inspecting and understanding through working procedures and methods and approach of students while working practically, adaptation while facing difficulties in tasks assigned, and sharp mind to pivot application procedures comprised within the task assigned. Validated the framework in Prototype Skill Program conducted by MRDI LLP in automotive engineering training environments, LCI presents a scalable, institutionally deployable alternative to traditional assessment systems. This article describes the conceptual foundation, framework architecture, parameter derivations of logic, implementation methodology, pivoting methodologies and strategic positioning of LCI as national human capability measurement infrastructure.

Keywords: Personalized Learning, Adaptive Learning, Learning Capability Index, Behavioural Assessment, Engineering Education, MRDI, Cognitive Performance Measurement