Personalized Learning for Indian Defence SMEs: A Study on Learner

The rapid evolution of defence technologies necessitates continuous skill development within Indian Defence Small and Medium Enterprises (SMEs). Traditional learning models often fail to address SME employees’ diverse learning preferences, cognitive styles, and industry-specific skills requirements. This study explores the role of personalized learning in Indian Defence SMEs, focusing on learner preferences including language choices, duration preferences, knowledge standards, and VARK learning styles. A study was conducted in Hyderabad, encompassing three phases: initial data collection on demographics and learning preferences, adaptation of content to these preferences within a personalized learning management system (LMS), and subsequent evaluation through a survey completed by approximately 67 Defence SME employees. The results highlight significant variations in learning preferences and underscore the need for a customized e-learning framework. The findings indicate that AI-driven adaptive learning platforms may incorporate VARK-based training modules to optimize content delivery. Above highlight the importance of using multiple modes of information delivery to accommodate SME employees’ learning preferences effectively as one-size-fits-all approach may not be suitable.

Authors

Publication Details

Journal
Journal of Informatics Education and Research
Published
2025-04-25
DOI
https://doi.org/10.52783/jier.v5i2.2589
Primary Topic
Indian Economic and Social Development
Type
article
Field-Weighted Citation Impact
0.00
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article

Personalized Learning for Indian Defence SMEs: A Study on Learner

Chris Reddy
Journal of Informatics Education and Research
Indian Economic and Social Development
article

Personalized Learning for Indian Defence SMEs: A Study on Learner

Chris Reddy
article en

Abstract

The rapid evolution of defence technologies necessitates continuous skill development within Indian Defence Small and Medium Enterprises (SMEs). Traditional learning models often fail to address SME employees’ diverse learning preferences, cognitive styles, and industry-specific skills requirements. This study explores the role of personalized learning in Indian Defence SMEs, focusing on learner preferences including language choices, duration preferences, knowledge standards, and VARK learning styles. A study was conducted in Hyderabad, encompassing three phases: initial data collection on demographics and learning preferences, adaptation of content to these preferences within a personalized learning management system (LMS), and subsequent evaluation through a survey completed by approximately 67 Defence SME employees. The results highlight significant variations in learning preferences and underscore the need for a customized e-learning framework. The findings indicate that AI-driven adaptive learning platforms may incorporate VARK-based training modules to optimize content delivery. Above highlight the importance of using multiple modes of information delivery to accommodate SME employees’ learning preferences effectively as one-size-fits-all approach may not be suitable.

Journal of Informatics Education and ResearchVol. 5(2)
Openalex Percentile: Top 87%
Indian Economic and Social Development
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