Virtual CAT: A multi-interface educational platform for algorithmic thinking assessment

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING SoftwareX Pub Date : 2024-08-22 DOI:10.1016/j.softx.2024.101737
Giorgia Adorni , Simone Piatti , Volodymyr Karpenko
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Abstract

The virtual Cross Array Task (CAT) is an educational platform designed to evaluate algorithmic thinking (AT) skills among students within Swiss compulsory education. This tool introduces an adaptable multi-interface system, enabling users to interact via intuitive gesture-based commands or through a visual programming interface that uses drag-and-drop blocks, facilitating a versatile approach to constructing and understanding algorithms. The platform encompasses a comprehensive training module for skill acquisition and a validation module for assessment. The system offers real-time feedback to users during activities, adjusting dynamically based on their actions, providing insights into progress and areas for improvement, thereby facilitating learning and performance enhancement. With multilingual capabilities extended to English, German, French, and Italian, the virtual CAT is intricately crafted to meet the diverse needs of educational contexts across various regions. Preliminary application and evaluation through a small-scale study indicate the virtual CAT’s potential to offer scalable assessment and a robust platform for integrating AT into broader educational and research methodologies, setting the stage for its integration into academic research and daily pedagogical practice.

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虚拟 CAT:用于算法思维评估的多界面教育平台
虚拟交叉阵列任务(CAT)是一个教育平台,旨在评估瑞士义务教育阶段学生的算法思维(AT)技能。该工具引入了一个适应性强的多界面系统,使用户能够通过直观的手势命令或通过使用拖放块的可视化编程界面进行交互,从而促进了构建和理解算法的多功能方法。该平台包括一个用于技能学习的综合培训模块和一个用于评估的验证模块。系统在用户活动期间提供实时反馈,并根据用户的操作进行动态调整,让用户深入了解进展情况和需要改进的地方,从而促进学习和提高性能。虚拟计算机辅助学习系统具有多语种功能,可扩展到英语、德语、法语和意大利语,经过精心设计,可满足不同地区教育环境的不同需求。通过一项小规模研究进行的初步应用和评估表明,虚拟计算机辅助学习有可能提供可扩展的评估和强大的平台,将交互式学习融入更广泛的教育和研究方法中,为其融入学术研究和日常教学实践奠定基础。
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来源期刊
SoftwareX
SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.50
自引率
2.90%
发文量
184
审稿时长
9 weeks
期刊介绍: SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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