Blended e-Learning Training (BeLT): Enhancing Railway Station Controller Knowledge
Aditya Khamparia, Monika Rani, Babita Pandey, O. P. Vyas

TL;DR
This paper evaluates a blended e-learning course for railway station controllers, demonstrating its effectiveness, interactivity, and user-friendliness in improving training outcomes across diverse learners.
Contribution
It introduces a culturally inclusive e-learning framework tailored for railway station controllers and assesses its positive impact on training quality.
Findings
High user satisfaction and perceived course effectiveness
Enhanced interactivity and engagement among learners
Successful adoption of e-learning in diverse cultural contexts
Abstract
With the growing economy, e-learning consequently gained increasing attention as it conveys knowledge globally with improved interactivity, assistance, and reduced costs. For the past few years, accidental challenges have become the severe problem with railway units due to irresponsibility, lack of knowledge and improper guidance of station controllers (learners). While focusing on e-learning technologies railway units failed to admit learner's need, cultural diversity and background skills by creating ethnically impartial e-learning environments, which resulted in inadequate training and degraded performance. The purpose of this study is to understand the vision of a global diverse group of station traffic controllers about e-learning courses developed by their individual railway units. The opinions of these officials have been verified by questionnaires on the basis of course…
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Taxonomy
TopicsOnline and Blended Learning
