Dr. Scratch 2.0 (CT4ALL)：用于评估Scratch项目中计算思维的高级模式和规则

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-09-20 DOI:10.1016/j.softx.2025.102359

Gregorio Robles , Guillermo Pons , Daniel Escobar-Morales , Casper Harteveld , Giovanni M. Troiano

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引用次数: 0

摘要

Dr. Scratch 2.0 （CT4ALL）是一个基于网络的服务，旨在分析和评估Scratch项目中的计算思维（CT）。它采用了带有Python的Django框架的客户机-服务器架构和用户友好的界面。在CT4ALL项目下，我们扩展了原来广泛使用的Dr. Scratch，提供了四种新的功能（或模式）。个性化标题模式允许自定义CT标题。批评估模式同时评估多个Scratch项目，通过电子邮件提供详细的报告。比较模式分析和比较两个或多个Scratch项目的CT分数。最后，推荐助手指导用户解决编码问题（或不良气味）。总之，这些模式可以个性化CT规则和识别编码问题，所有这些都是为了帮助Scratch用户提高他们的CT。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Dr. Scratch 2.0 (CT4ALL): Advanced modes and rubrics for assessing computational thinking in Scratch projects

Dr. Scratch 2.0 (CT4ALL) is a web-based service designed to analyze and assess Computational Thinking (CT) in Scratch projects. It employs a client–server architecture with Python’s Django framework and a user-friendly interface. Under the CT4ALL project, we have extended the original and widely-used Dr. Scratch to offer four new functionalities (or modes). The Personalized Rubric mode allows customizing CT rubrics. The Batch Assessment mode assesses multiple Scratch projects simultaneously, delivering detailed reports via email. The Comparison mode analyzes and compares CT scores in two or more Scratch projects. Finally, the Recommender Assistant guides users in resolving coding issues (or Bad Smells). Together, these modes enable personalizing CT rubrics and identifying coding issues—all with the goal of assisting Scratch users in advancing their CT.

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来源期刊

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.