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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM57078

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

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM57078

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57078

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DDP

Damayanti D Pawar

SAG

Shirin Atul Gaikwad

AVR

Antara Vijay Raut

SPP

Samruddhi Pankaj Pawar

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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.

KEYWORDS

Algorithm Visualization Interactive Pedagogy Operating Systems Machine Learning Real-Time Simulation Process Scheduling Neural Networks Memory Management Self-Paced Learning Educational Technology

Cite This Article

Damayanti D Pawar, Shirin Atul Gaikwad, Antara Vijay Raut, Samruddhi Pankaj Pawar, "Interactive Animation-Based Learning Platform for Operating System and AI/ML Concepts," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026. https://doi.org/10.55041/IJSREM57078

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Publication Date

1/2/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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