Visualization of Data Structures and Algorithms with Dynamic Memory Allocation

Title

Visualization of Data Structures and Algorithms with Dynamic Memory Allocation

Creator

Tom, Eileen Maria; Singhal, Neha; Saxena, Surabhi

Description

Data Structures and Algorithms (DSA) is fundamental to computer science education, yet novice learners face significant challenges in grasping abstract concepts and their system-level implications, such as dynamic memory allocation. This paper presents a novel web-based platform designed to enhance learning outcomes for beginner to intermediate students through interactive step-by-step visualizations of DSA, including arrays, linked lists, stacks, queues, and searching and sorting algorithms. A distinctive feature is the integration of dynamic memory allocation visualization, illustrating stack and heap to elucidate system-level operations. Developed using Next.js, Tailwind CSS, D3.js, and Framer Motion, the platform offers a space-themed responsive interface with synchronized code, data structure, and memory views. By addressing pedagogical gaps in tools like VisuAlgo, this work aligns with Sustainable Development Goal 4- Quality Education, promoting accessible and equitable learning. 2025 IEEE.

Source

2025 IEEE 7th International Conference on Computing, Communication and Automation, ICCCA 2025;

Date

01-01-2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Algorithms; Computer Science Education; Data Structures; Dynamic Memory Allocation; Interactive Visualization; Memory Visualization; Pedagogical Effectiveness; SDG 4; Web-based Learning

Coverage

Tom E.M., CHRIST (Deemed to Be University, Department of Computer Science, Bengaluru, India; Singhal N., CHRIST (Deemed to Be University, Department of Computer Science, Bengaluru, India; Saxena S., CHRIST (Deemed to Be University, Department of Computer Science, Bengaluru, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833156980-8;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICCCA66364.2025.11325325

https://www.scopus.com/pages/publications/105035176730?origin=resultslist