Using algorithm visualizations in computer science education

Šimoňák, Slavomír

doi:10.2478/s13537-014-0215-4

Cited by 10 publications

(3 citation statements)

References 7 publications

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“…The visualizer has been built by the author through the design of multiple Java plugin modules. The study presents the findings of a survey regarding the effectiveness of VizAlgo and focuses on well-known, if not the most significant, sorting algorithms [3]. This paper analyzes developments in pathfinding algorithms such as Dijkstra's, A*, BFS, and DFS, with a focus on their efficacy in multi-agent situations.…”

Section: Literature Surveymentioning

confidence: 99%

From Pixels to Paths: A Visual Approach to Understanding Pathfinding and Sorting Algorithms

et al. 2024

IJFMR

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In computer science and algorithmic understanding studies, visual tools play an important role in improving understanding and collaboration. This research paper introduces a visualization algorithm that aims to bridge the gap between theoretical ideas and practical applications. Visualization tools use intuitive graphical representations to explain the inner workings of various algorithms and encourage deeper understanding. We aim to developing a easily accessible user interface to provide our users to visualize the real-time algorithms in a interesting and fun way.

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Section: Literature Surveymentioning

confidence: 99%

From Pixels to Paths: A Visual Approach to Understanding Pathfinding and Sorting Algorithms

et al. 2024

IJFMR

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“…It provides visualizations for the basic data structures such as the Stack, Queue, Binary Search Tree. Sorting algorithms, tree traversal algorithms, MinMax and Chainmatrix algorithms are also visualized in the application [8]. Because of the need of obtaining a .jar file to run the program and the limited compatibility with Linux systems, VizAlgo didn't meet the requirements specified above.…”

Section: Vizalgomentioning

confidence: 99%

Interactive System for Algorithm and Data Structure Visualization

Perháč¹,

Šimoňák²

2022

CSJM

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This work is dedicated to the design, implementation and evaluation of a new algorithm visualization system. The currently available systems and libraries are briefly compared with each other based on the visualizations and functionalities they provide. Since the analyzed tools didn't meet all of the given requirements, we decided that the development of a new system for algorithm and data structure visualizations would be beneficial for use in teaching the subject Data Structures and Algorithms. The new system was designed to be easily usable, extensible, available and to cover the basic functionalities available in similar systems and other useful features. The proposed system provides three types of visualizations: predefined visualizations, to explain how each data structure and algorithm works; interactive visualizations, to let the user interact with the visualization directly; and interactive exercises, to let the users test their knowledge. These three types of visualizations cover the whole learning process, provide theoretical and practical knowledge, and also a way to test their knowledge. The system is implemented in the form of a web application and, for the visualizations, the JSAV library is used. The system was also evaluated by the users via a survey and several improvements were implemented in the system based on the feedback provided by the users.

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“…One of widely adopted approaches to help with this situation is based on using algorithm visualizations within the subjects covering the area [8,6]. Also within our subject, except the conventional ways of teaching (using pseudocodes of algorithms or diagrams), we also use algorithm visualizations for couple of years [17,16]. Although the results achieved by using visualizations are promising [19,20], we further try to improve the educational process in order to make it more attractive and efficient.…”

Section: Introductionmentioning

confidence: 99%

Increasing the Engagement Level in Algorithms and Data Structures Course by Driving Algorithm Visualizations

Šimoňák

2020

IJCAI

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The paper presents the results of our research in the field of applying algorithm visualizations within Data structures and algorithms subject. We accomplished several experiments relating the ability of students to solve simple problems in a pure visual way in one case and by programming the solution using a particular programming language in another one. The experiments are described and the results are analyzed within the paper. In accordance with our previous informal experiences and the results of the analysis we found there can be some part of students, which will be able to apply an algorithm to concrete problem in a visual way, but will not be able to express it clearly enough and implement it in given programming language. As an attempt to cope with the situation, we propose a new teaching approach, together with a prototype of study supporting system, based on the idea that students would participate on creating simple visualizations, not just using them. The purpose of such approach is to help students to develop both types of skills -understanding the algorithms and implementing them as well, by increasing the engagement level and supporting the active learning.Povzetek: Predstavljen je način predavanja o algoritmih in podatkovnih strukturah s pomočjo algoritmične vizualizacije.

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Using algorithm visualizations in computer science education

Cited by 10 publications

References 7 publications

From Pixels to Paths: A Visual Approach to Understanding Pathfinding and Sorting Algorithms

From Pixels to Paths: A Visual Approach to Understanding Pathfinding and Sorting Algorithms

Interactive System for Algorithm and Data Structure Visualization

Increasing the Engagement Level in Algorithms and Data Structures Course by Driving Algorithm Visualizations

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