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

Paper Details
Manuscript ID: 2126-0422-0915
Vol.: 2 Issue: 4 Pages: 261-267 Apr - 2026 Subject: Education And Educational Technology Language: English
ISSN: 3068-1995 Online ISSN: 3068-109X DOI: https://doi.org/10.64823/ijter.2604028
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
Learning Capability Index Adaptive Learning Behavioural Assessment Engineering Education MRDI Personalized Learning Cognitive Performance Measurement
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Cite this Article

Ruzbeh Master, Heema Ruzbeh Master (2026). Learning Capability Index (LCI): A Framework for Real-Time Adaptive Human Capability Measurement in Education. International Journal of Technology & Emerging Research (IJTER), 2(4), 261-267. https://doi.org/10.64823/ijter.2604028

BibTeX
@article{ijter2026212604220915,
  author = {Ruzbeh Master and Heema Ruzbeh Master},
  title = {Learning Capability Index (LCI): A Framework for Real-Time Adaptive Human Capability Measurement in Education},
  journal = {International Journal of Technology &  Emerging Research },
  year = {2026},
  volume = {2},
  number = {4},
  pages = {261-267},
  doi =  {10.64823/ijter.2604028},
  issn = {3068-109X},
  url = {https://www.ijter.org/article/212604220915/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 = {Learning Capability Index, Adaptive Learning, Behavioural Assessment, Engineering Education, MRDI, Personalized Learning, Cognitive Performance Measurement},
  month = {Jun},
}
Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.