Talent Acceleration System
Year: 2025
Type: article
Abstract: The rapid digital transformation of education has increased the demand for self-paced and career-focused learning platforms. The Talent Acceleration System (TAS) is a next-generation Learning Management System (LMS) designed to enhance students' and job seekers' skills through courses in communication, coding, and programming languages like C, C++, Java, and Python. Unlike traditional LMS platforms, TAS offers a learner-centric experience with real-time progress tracking, interactive quizzes, and certification upon course completion. With Razor pay integration, the platform ensures seamless course enrolments, making quality education more accessible. Its secure authentication protects user data while fostering an independent learning environment, allowing users to track progress without external dependencies. By eliminating instructor profiles, TAS empowers learners to advance at their own pace.This research paper examines the technological framework, system architecture, implementation methodologies, and impact of TAS in bridging the skill gap. The findings highlight its potential as a scalable, efficient, and cost-effective solution for modern education. Keyword: Talent Acceleration, Learning Management System (LMS), Skill Development, Digital Education, Adaptive Learning, Adaptive Learning.
DOI: 10.55041/ijsrem43176
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4408914813