利用教育机器人资源开发初中生的计算思维

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent & Robotic Systems Pub Date : 2024-03-18 DOI:10.1007/s10846-024-02082-7
Almir de O. Costa Junior, Elloá B. Guedes, João Paulo F. Lima e Silva, José Anglada Rivera
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引用次数: 0

摘要

计算思维已被视为 21 世纪个人发展的一项基本技能。世界各地提出了各种倡议,以建立最有效的教育战略和资源,支持这些技能的发展。随着《巴西基础教育计算机标准》(国家基础共同课程的补充)的发布,计算机科学有望成为从幼儿教育到高中的基础科学。在此背景下,本研究介绍了学生的学习结果以及对 ThinkCarpet 的可用性评估:这是一个使用替代材料和 Arduino 制作的交互式教育机器人,旨在帮助初中学生发展算法概念。在学生的学习方面,通过使用 ThinkCarpet 验证的算法的有效解决方案平均达到 93.75%。相比之下,在拟议资源之外的活动中,仅有 62% 的有效解决方案得到确认。系统可用性量表(SUS)的应用结果显示,ThinkCarpet 在现实场景中的得分为 83.59 分,属于优秀等级。
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Developing Computational Thinking in Middle School with an Educational Robotics Resource

Computational Thinking has been recognized as an essential skill to be developed in individuals of the 21st Century. Various initiatives worldwide have been proposed to establish the most effective educational strategies and resources to support the development of these skills. With the publication of the Standards for Computing in Basic Education in Brazil (Complement to the National Base Common Curricular), Computer Science is expected to be taught as a fundamental science from Early Childhood Education to High School. In this context, this study presents the results of the students’ learning and the usability evaluation of the ThinkCarpet: an interactive educational robotics artifact built using alternative materials and Arduino, with the purpose of aiding in the development of the concept of algorithms in students from Middle School. Regarding the students’ learning, an average of 93.75% of valid solutions was observed for the algorithms validated through the use of the ThinkCarpet. In contrast, only 62% of valid solutions were identified in activities outside the proposed resource. As for the results of the application of the System Usability Scale (SUS), the results show a score of 83.59, which classifies the ThinkCarpet as excellent in a realistic scenario.

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来源期刊
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems 工程技术-机器人学
CiteScore
7.00
自引率
9.10%
发文量
219
审稿时长
6 months
期刊介绍: The Journal of Intelligent and Robotic Systems bridges the gap between theory and practice in all areas of intelligent systems and robotics. It publishes original, peer reviewed contributions from initial concept and theory to prototyping to final product development and commercialization. On the theoretical side, the journal features papers focusing on intelligent systems engineering, distributed intelligence systems, multi-level systems, intelligent control, multi-robot systems, cooperation and coordination of unmanned vehicle systems, etc. On the application side, the journal emphasizes autonomous systems, industrial robotic systems, multi-robot systems, aerial vehicles, mobile robot platforms, underwater robots, sensors, sensor-fusion, and sensor-based control. Readers will also find papers on real applications of intelligent and robotic systems (e.g., mechatronics, manufacturing, biomedical, underwater, humanoid, mobile/legged robot and space applications, etc.).
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