Interactive Animation-Based Learning Platform for Operating System and AI/ML Concepts

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Authors: Damayanti D Pawar, Shirin Atul Gaikwad, Antara Vijay Raut, Samruddhi Pankaj Pawar
Cited by: 0

Abstract

Abstract - This project focuses on creating an interactive animation-based learning platform that helps students understand tough topics in Operating Systems and Artificial Intelligence/Machine Learning in an easy and fun way. The platform uses visual animations, short interactive lessons, and quizzes to explain difficult ideas in a more engaging format.With this, learners can watch how algorithms, processes, and models work instead of reading about them from textbooks. The platform uses animations and simulations to show how real-time tasks like OS scheduling and memory management, as well as AI/ML concepts like neural networks and data processing, work in practice.The platform is made for self-paced learning and aims to help both beginners and advanced learners gain a clear understanding of the topics. In the future, this platform plans to make technical education more interactive, easier to access, and more enjoyable for everyone. Key Words: Algorithm Visualization, Interactive Pedagogy, Operating Systems, Machine Learning, Real-Time Simulation, Process Scheduling, Neural Networks, Memory Management, Self-Paced Learning, Educational Technology

Fields of Study & Subjects

Multimedia Learning Systems Educational Technology and E-Learning Teaching and Learning Programming

Publication details

Journal / source
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Volume
10
Issue
02
Pages
1–9
Publication date
28 February 2026
Language
EN