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VisualCodeMOOC: A course platform for algorithms and data structures integrating a conversational agent for enhanced learning through dynamic visualizations

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SOFTWAREX 2025年 30卷

作者： Li, Mingyuan Wang, Duan Purwanto, Erick Selig, Thomas Zhang, Qing Liang, Hai-Ning Xian Jiaotong Liverpool Univ Suzhou Peoples R China Hong Kong Univ Sci & Technol Guangzhou Guangzhou Peoples R China

The abstract nature of algorithms and data structures poses challenges for students, and the integration of visualization into comprehensive learning systems remains underexplored. This article presents VisualCodeMOOC, incorporating VisualCodeChat, a conversational agent that enhances algorithm and data structure learning through dynamic visualizations and personalized feedback. The platform effectively addresses these challenges, improving student engagement and comprehension. With instructions structuring, novel response- based algorithm visualization, exercise design, VisualCodeMOOC provides a cohesive and supportive learning environment that promotes active learning. Evaluation results demonstrate its usability, responsiveness, and educational value, confirming its potential as a promising tool for advancing computer science education.

关键词： Programming education algorithm visualization MOOC Conversational agent

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An Interactive Tool for Randomized Autogradable Graph Assessments 56

An Interactive Tool for Randomized Autogradable Graph Assess...

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56th Annual SIGCSE Technical Symposium on Computer Science Education, SIGCSE TS 2025

作者： Hasanov, Eldar Ahluwalia, Dev Garcia, Dan Norouzi, Narges Fox, Armando University of California Berkeley Berkeley CA United States

ISBN: (纸本)9798400705328

Mastering algorithms and graph theory requires students to understand both the theoretical concepts and the practical mechanics. While most current assessments focus on the practical aspects, a deeper understanding of the theoretical concepts is often more crucial for truly grasping the material. visualizations aim to help bridge this gap by allowing students to interact with data structures to trace traversals and outputs dynamically. We introduce an interactive tool through an online assessment platform that will enable students to click on different nodes and/or edges to dynamically change a graph model. There are numerous use cases, from introductory data structures and traversals such as depth-first and breadth-first search to more complicated algorithms such as tracing hypercube node processing. Although there are currently decorative components that display graphs and can be supplemented with submission elements, we hypothesize that by combining both features into one, students' learning will be significantly more effective. Through such a tool, we plan to assess students' performance in regard to (a) their score, (b) completion time, and (c) student satisfaction with the interactive assessments. We plan to analyze the types of errors students make depending on whether they are in the control or experimental groups. Further, we aim to assess how abstracting interactive assessment tools can be applied to introductory computer science courses to bridge the gap between proficiency and mastery learning. © 2025 Copyright held by the owner/author(s).

关键词： algorithm visualization educational tool formative assessments graph assessments interactive tools

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visualization of PageRank algorithm by using Multi-Agent Model for Education

Visualization of PageRank Algorithm by using Multi-Agent Mod...

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2nd IIAI International Conference on Advanced Applied Informatics (IIAIAAI)

作者： Yasuda, Yuki Mukai, Naoto Ishii, Naohiro Sugiyama Jogakuen Univ Dept Culture Informat Studies Nagoya Aichi 4648662 Japan Aichi Inst Technol Dept Informat Sci Toyota 4700392 Japan

ISBN: (纸本)9781479921348;9780769550718

Google have the largest share of search engines in the world. The essential reason for that is the algorithm called "PageRank" which ranks web pages with great accuracy according to user's intents. However, most of users does not know the detail of the algorithm well enough. Therefore, in this paper, we try to visualize the behavior of the algorithm by using a multi-agent simulator called Artisoc in order to help learners to understand the algorithm. Moreover, 18 students in our university are asked in a questionnaire how they feel about the algorithm visualization, and we report the result of the questionnaire.

关键词： algorithm visualization PageRank Multi-Agent Simulation

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Using algorithm visualizations in computer science education

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OPEN COMPUTER SCIENCE 2014年第3期4卷 183-190页

作者： Simonak, Slavomir Tech Univ Kosice Fac Elect Engn & Informat Dept Comp & Informat Letna 9 Kosice 04200 Slovakia

algorithm visualization illustrates how algorithms work in a graphical way. It mainly aims to simplify and deepen the understanding of algorithms operation. Within the paper we discuss the possibility of enriching the standard methods of teaching algorithms, with the algorithm visualizations. As a step in this direction, we introduce the VizAlgo algorithm visualization platform, present our practical experiences and describe possible future directions, based on our experiences and exploration performed by means of a simple questionnaire.

关键词： algorithm visualization plugin-based visualization platform computer science education

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Marble MLFQ: An Educational visualization Tool for the Multilevel Feedback Queue algorithm 8

Marble MLFQ: An Educational Visualization Tool for the Multi...

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8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

作者： Killen, Spencer Giese, Evan Huynh, Huy Indratmo MacEwan Univ Dept Comp Sci Edmonton AB Canada

ISBN: (纸本)9781538633717

Understanding the behaviour of algorithms is a key element of computer science. However, this learning objective is not always easy to achieve, as the behaviour of some algorithms is complicated or not readily observable, or affected by the values of their input parameters. To assist students in learning the multilevel feedback queue scheduling algorithm (MLFQ), we designed and developed an interactive visualization tool, Marble MLFQ, that illustrates how the algorithm works under various conditions. The tool is intended to supplement course material and instructions in an undergraduate operating systems course. The main features of Marble MLFQ are threefold: (1) It animates the steps of the scheduling algorithm graphically to allow users to observe its behaviour;(2) It provides a series of lessons to help users understand various aspects of the algorithm;and (3) It enables users to customize input values to the algorithm to support exploratory learning.

关键词： algorithm visualization multilevel feedback queue educational tool

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Getting algorithm visualizations into the Classroom 11

Getting Algorithm Visualizations into the Classroom

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42nd ACM Technical Symposium on Computer Science Education

作者： Shaffer, Clifford A. Akbar, Monika Alon, Alexander Joel D. Stewart, Michael Edwards, Stephen H. Virginia Tech Dept Comp Sci Blacksburg VA 24061 USA

ISBN: (纸本)9781450305006

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.

关键词： algorithm visualization data structure visualization online educational community active learning animation interactive tutorial teaching aid

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A Framework for Code-Level Tracing of Map-Based algorithm visualizations

A Framework for Code-Level Tracing of Map-Based Algorithm Vi...

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ACM SIGPLAN Workshop on SPLASH-E (SPLASH-E)

作者： Teresco, James D. Dagostino, Michael A., Jr. Samad, Abdul Sauer, Eric D. Siena Coll Dept Comp Sci Loudonville NY 12211 USA

ISBN: (纸本)9781450366809

This paper presents a framework that has been developed to support code-level tracing of the algorithm visualization capabilities of the Map-based Educational Tools for algorithm Learning (METAL) project. METAL provides graph data based on real-world highway systems and tools to visualize that data and algorithms which operate on it. Data is shown plotted on maps and in text, color-coded to indicate the progress of the algorithm. The new code-level tracing framework allows specific algorithms to be implemented as a series of small actions, most of which correspond to lines of code that can be highlighted as they are executed. This allows a student to see how specific lines of code affect the data structures and variables as the algorithm makes progress toward a solution.

关键词： algorithm visualization pedagogical tools

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Effective Features of algorithm visualizations

Effective Features of Algorithm Visualizations

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作者： Saraiya, Purvi Virginia Tech | University

Current research suggests that by actively involving students, you can increase pedagogical value of algorithm visualizations. We believe that a pedagogically successful visualization, besides actively engaging participants, also requires certain other key features. We compared several existing algorithm visualizations for the purpose of identifying features that we believe increase the pedagogical value of an algorithm visualization. To identify the most important features from this list, we conducted two experiments using a variety of the heapsort algorithm visualizations. The results of these experiments indicate that the single most important feature is the ability to control the pace of the visualization. Providing a good data set that covers all the special cases is important to help students comprehend an unfamiliar algorithm. An algorithm visualization having minimum features that focuses on the logical steps of an algorithm is sufficient for procedural understanding of the algorithm. To have better conceptual understanding, additional features (like an activity guide that makes students cover the algorithm in detail and analyze what they are doing, and pseudocode display of an algorithm) may prove to be helpful, but that is a much harder effect to detect.

关键词： Pedagogical Effectiveness algorithm visualization Education Thesis

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A Survey of Successful Evaluations of Program visualization and algorithm Animation Systems

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ACM Transactions on Computing Education 2009年第2期9卷 1–21页

作者： Jaime Urquiza-Fuentes J. Ángel Velázquez-Iturbide Universidad Rey Juan Carlos

This article reviews successful educational experiences in using program and algorithm visualizations (PAVs). First, we survey a total of 18 PAV systems that were subject to 33 evaluations. We found that half of the systems have only been tested for usability, and those were shallow inspections. The rest were evaluated with respect to their educational effectiveness. Script-based systems seem to be well suited for the viewing, responding, and changing engagement levels, while compiler-based systems do well for the construction and presenting engagement levels. Finally, we analyze additional PAV features of successful evaluations and hypothesize that they are relevant.

关键词： algorithm visualization educational tools program visualization survey

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visualization of PageRank algorithm by using Multi-Agent Model for Education

Visualization of PageRank Algorithm by using Multi-Agent Mod...

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IIAI International Conference on Advanced Applied Informatics

作者： Yuki Yasuda Naoto Mukai Naohiro Ishii Department of Culture-Information Studies Sugiyama Jogakuen University Nagoya Aichi Japan Department of Information Science Aichi Institute of Technology Toyota Aichi Japan

关键词： algorithm visualization PageRank Multi-Agent Simulation

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