{"title":"虚拟 CAT:用于算法思维评估的多界面教育平台","authors":"Giorgia Adorni , Simone Piatti , Volodymyr Karpenko","doi":"10.1016/j.softx.2024.101737","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"27 ","pages":"Article 101737"},"PeriodicalIF":2.4000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024001080/pdfft?md5=5bdbdfaa11cdf2538c32d8e7e0f67694&pid=1-s2.0-S2352711024001080-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Virtual CAT: A multi-interface educational platform for algorithmic thinking assessment\",\"authors\":\"Giorgia Adorni , Simone Piatti , Volodymyr Karpenko\",\"doi\":\"10.1016/j.softx.2024.101737\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":\"27 \",\"pages\":\"Article 101737\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2352711024001080/pdfft?md5=5bdbdfaa11cdf2538c32d8e7e0f67694&pid=1-s2.0-S2352711024001080-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoftwareX\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352711024001080\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711024001080","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Virtual CAT: A multi-interface educational platform for algorithmic thinking assessment
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.
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.