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Algorithm Visualization: The State of the Field
ACM Transactions on Computing Education / ACM Journal of Educational Resources in Computing, 2010
We report on the state of the field of algorithm visualization, both quantitatively and qualitatively. Computer science educators seem to find algorithm and data structure visualizations attractive for their classrooms. Educational research shows that some are effective while many are not. Clearly, then, visualizations are difficult to create and use right. There is little in the way of a supporting community, and many visualizations are downright poor. Topic distribution is heavily skewed towards simple concepts with advanced topics receiving little to no attention.
Algorithm visualization: a report on the state of the field
ACM Sigcse Bulletin, 2007
We present our findings on the state of the field of algorithm visualization, based on extensive search and analysis of links to hundreds of visualizations. We seek to answer questions such as how content is distributed among topics, who created algorithm visualizations and when, the overall quality of available visualizations, and how visualizations are disseminated. We have built a wiki that currently catalogs over 350 algorithm visualizations, contains the beginnings of an annotated bibliography on algorithm visualization literature, and provides information about researchers and projects. Unfortunately, we found that most existing algorithm visualizations are of low quality, and the content coverage is skewed heavily toward easier topics. There are no effective repositories or organized collections of algorithm visualizations currently available. Thus, the field appears in need of improvement in dissemination of materials, informing potential developers about what is needed, and propagating known best practices for creating new visualizations.
ACM Transactions on Computing Education, 2010
We present findings regarding the state of the field of Algorithm Visualization (AV) based on our analysis of a collection of over 500 AVs. We examine how AVs are distributed among topics, who created them and when, their overall quality, and how they are disseminated. There does exist a cadre of good AVs and active developers. Unfortunately, we found that many AVs are of low quality, and coverage is skewed toward a few easier topics. This can make it hard for instructors to locate what they need. There are no effective repositories of AVs currently available, which puts many AVs at risk for being lost to the community over time. Thus, the field appears in need of improvement in disseminating materials, propagating known best practices, and informing developers about topic coverage. These concerns could be mitigated by building community and improving communication among AV users and developers.
International Research Journal of Modernization in Engineering Technology and Science, 2021
Over the years we've observed that algorithms even tough being a complex subject are the foundation of computational thinking and programming skills of a student. So to ease up the hardships of students this idea of the project was formed. Our application Algorithm Visualizer is both interactive and alluring to students. It gives the students hands on experience of the algorithms' implementation. It feeds into their imagination to help them get a better understanding while also helping teachers to help make their students understand better. Through this project every student can learn at their own pace with our three speeds of learning: slow, average and fast. This interface is designed to make one feel fully engaged and concentrated. The concept of Time Complexity has also been introduced to the user through an interactive game. We have made use of React.js as framework and JavaScript as primary language for our project. The purpose of this project is to make learning less of a burden and more of an incredible experience which leaves students with the want to learn more.
Addressing Pedagogical Requirements in Algorithm Visualizations
Although algorithm visualizations have become numerous, they still have not been successfully adapted into mainstream computer science education. Algorithm visualization systems need to better address pedagogical requirements for effective educational use. We discuss the relevance of several such requirements that are not supported in most systems. The combination of two existing algorithm visualization systems implements these requirements and thereby provides a rich testbed for future studies of effectiveness.
A User-Centred Approach for Designing Algorithm Visualizations
2001
Advances in computing technology and the affordability of software and high-performance graphics hardware enabled rapid growth of visual tools. Today, not only very expensive workstations, but also low-cost PCs are capable of running computationally demanding visualization systems. Algorithm visualizations or the graphic depictions of algorithms in execution are being used in explaining, designing, analysing algorithms, and in debugging, fine-tuning, and
Getting algorithm visualizations into the classroom
2011
Algorithm visualizations (AVs) are widely viewed as having the potential for improving computer science education. However, the rate of AV use and overall impact on education does not match the positive interest in their use that instructors report. Surveys of CS faculty show that impediments to successful use of AVs in the classroom include difficulties in finding quality AVs on desired topics, difficulties in adapting AVs to a given classroom setting, and lack of knowledge on the best way to deploy AVs. This indicates a need for better support for instructors, to get them past these barriers. We seek to provide this support through an online educational community that relies on a new model based less on the "digital library" approach of information gained by going to a site and searching. Instead, the focus is on community-added content through members' discussions, reviews, and ratings of content items. The AlgoViz community effort will better focus the future direction of AV development and use.
2008
Acquiring knowledge about algorithms and programming skills is a difficult and complex process in particular. Various algorithm visualization systems have been developed, using animation techniques to illustrate the behavior of basic algorithms, to facilitate studentspsila learning and skills development. This paper presents DAVE, an interactive dynamic algorithm visualization system for the introductory lessons in algorithm design and programming. DAVE allows studentspsila experimentation not only with sample algorithms, constructed by the designer, but, mainly, with the automatic animation of their own algorithms.
Effective features of algorithm visualizations
2004
Abstract Many algorithm visualizations have been created, but little is known about which features are most important to their success. We believe that pedagogically useful visualizations exhibit certain features that hold across a wide range of visualization styles and content. We began our efforts to identify these features with a review that attempted to identify an initial set of candidates. We then ran two experiments that attempted to identify the effectiveness for a subset of features from the list.
Visualizer for Algorithms and Path Finding with User Interface Design
International Journal for Research in Applied Science and Engineering Technology
A graphical description of how algorithms like sorting and path finding work is provided by the Algorithm and Path Finding visualizer. The system thoroughly explains each process using both text and animation. Dots, lines, dimensional bars, and other graphic elements are combined to create an algorithm visualisation, which shows some of the algorithm's more "interesting events." The benefits of the algorithm visualizer include a user-friendly UI. It's easy to use the UI. Users move easily and without exertion. input of data entry by users is possible in the system. User command Users can adjust the speed of the algorithm animation to make it simpler or harder for them to grasp the backend functionality depending on how quickly they learn and process new information, and it will show the space and time complexity of each algorithm. I. INTRODUCTION Students need to acquire a solid grasp of complex topics like algorithms since they form the foundation for their computational thinking and programming skills. We had seen that using traditional teaching techniques made it more challenging for teachers and students to articulate their ideas. Since, as the saying goes, "a picture is worth a thousand words," many Academics and educators believe that implementing algorithm visualization techniques can help students learn an algorithm more quickly and thoroughly. Therefore, we created a teaching technique that helps students as well as teachers learn about various searching and sorting algorithms through visualization and hands-on experience. A well-done visualization brings algorithms to life by graphically displaying their multiple states and animating the transitions between them. More specifically, dynamic algorithm visualization plays an algorithm's actions like a continuous movie. The human visual system provides a better way of understanding these important conceptual processes through visualisation. Researchers have come up with several techniques to get around these obstacles, including graphical representations, traditional animations, explanatory films, etc. These techniques help the student better understand the concepts. Algorithmic visualization is a technique that has advanced in the past and is gaining popularity in computer science. With simple animations and transition effects, the Algorithm Viewer is a useful tool. a tool that allows students to see how the algorithm works at each step. II. METHODOLOGY This paper includes different algorithms: sorting, searching, pathfinding, trees, travelling salesman, minimum spanning tree, binary heap, and graph traversal. The following section includes the methodology used to visualize different types of algorithms. Essential functions of the algorithm visualizer are as follows: 1) The system shall take inputs in array format. 2) The system will take user inputs otherwise it will take default inputs. 3) When a user enters new data, the dataset should be updated with the new data. 4) It will sort array using different algorithms which is selected by users. 5) It shows the step-by-step process of a algorithms with bar graphical animation. 6) Through this paper every student can learn at their own pace with our three speeds of learning: slow, medium, and fast.