Journal of Engineering Education Transformations
DOI: 10.16920/jeet/2024/v38i2/24193
Year: 2024, Volume: 38, Issue: 2, Pages: 96-105
Original Article
Subhash Rathod1, Abhinav Mishra2, Akshay Patil3, Ashutosh Dhanawade4, Gaurav Dalvi5
1,2,3,4,5Computer Department, Marathwada Mitramandal's Institute of Technology, Maharashtra, India
*Corresponding Author
Email: subhash.rathod@mmit.edu.in
abhinav01mishr@gmail.com
akshay.lpatil25@gmail.com
ajdhanawade2001@gmail.com
gdalvi20dec@gmail.com
Abstract :This study addresses the need for enhanced algorithms learning through the utilization of comparative simulation and visualization. Motivated by the challenge of comprehending complex algorithms, we emphasize the efficacy of visualization tools. Our research explores the realtime rendering of algorithms in a visual format, facilitating a deeper understanding of their underlying mechanisms. In addition, we introduce a novel comparative simulation feature within our Algorithm Visualizer e-learning application, enabling learners to contrast the performance of diverse algorithms, discern their strengths and weaknesses, and evaluate their applicability to different data sets. Specifically, this application accommodates various algorithms, including Dijkstra's algorithm, DFS, BFS, Binary Search, and more. Learners can employ this tool to scrutinize algorithmic differences and efficiency, exemplified through scenarios like comparing Dijkstra's algorithm and A* algorithm for pathfinding on a map. Furthermore, this feature extends to the evaluation of sorting algorithms, such as Quick Sort and Merge Sort, allowing users to visualize their performance on large data sets. In conclusion, the Algorithm Visualizer e-learning application serves as a valuable resource for learners, enhancing algorithmic comprehension through comparative simulation and visualization techniques.
Keywords: algorithm visualization; searching; sorting; pathfinding; digital learning; heuristic algorithms; educational technology.
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