Creative performance in an educational robotics competition

Suellen Cristina Rodrigues Kotz, Asdrúbal Borges Formiga Sobrinho, Gabriel de Oliveira Jorge, Marina Silva Bicalho Rodrigues
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Abstract

Educational robotics is an emerging approach to foster creativity and develop scientific and technological skills among students. However, there is a need for evaluations that assess the potential of this technological resource in the learning process. This non-experimental, correlational study aimed to propose an evaluation model to deepen the understanding of the impact of robotics on students' creative productions. The sample consisted of 46 Brazilian teams, divided between Middle School and High School. Specifically, the study sought to analyze creativity using secondary data from evaluations conducted by judges after a robotics competition. The evaluations were used to categorize the items into dependent and independent variables, defined according to the 7 Cs theoretical model. The main variables analyzed were Creators, Collaborations, Creating, and Creations. A multiple linear regression analysis revealed that the variables Creators and Creating had a significantly positive influence (p<.005) on creative performance (Creations). Additionally, an interaction analysis indicated that the impact of Creating on Creations varied depending on the levels of Creators. Specifically, at lower levels of Creators, an increase in Creating is associated with a more pronounced growth in Creations. Conversely, at higher levels of Creators, the influence of Creating became more moderate. Additional analyses of the Scientific Merit (SM) and Technology and Engineering (TE) subcategories demonstrated that both positively influenced Creations, with TE showing a slightly stronger correlation. These results suggested that the characteristics of the creators (Creators) and the creation process (Creating) were fundamental to creative performance (Creations) in this competition.
在教育机器人比赛中有创意的表演
教育机器人是一种培养学生创造力和发展科学技术技能的新兴方法。但是,有必要进行评价,评估这种技术资源在学习过程中的潜力。这项非实验的相关研究旨在提出一个评估模型,以加深对机器人技术对学生创意产品影响的理解。样本包括46支巴西球队,分为初中和高中。具体来说,这项研究试图利用机器人比赛后评委评估的二手数据来分析创造力。根据7c理论模型,通过评价将项目划分为因变量和自变量。分析的主要变量是创造者、合作、创造和创造。多元线性回归分析显示,变量Creators和Creating对创意表现(Creations)有显著的正向影响(p<.005)。此外,交互分析表明,创造对创造的影响取决于创造者的水平。具体来说,在较低水平的创造者中,创造能力的增加与创造能力的显著增长相关。相反,在更高层次的创造者中,创造的影响变得更加温和。对科学价值(SM)和技术与工程(TE)子类别的进一步分析表明,两者都对创造产生积极影响,其中技术与工程的相关性略强。这些结果表明,在本次比赛中,创作者的特点(creators)和创作过程(Creating)是创作表现(Creations)的基础。
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