Anik Mehedi Hasan, Romero Margarida
MSc SmartEdTech, Université Côte d'Azur, Nice, France.
Science, Mathematics, and Technology Education (SMTE) Department, Institute of Education and Research, University of Dhaka, Dhaka, Bangladesh.
Front Robot AI. 2024 Dec 13;11:1497511. doi: 10.3389/frobt.2024.1497511. eCollection 2024.
Creative Problem Solving (CPS) is an important competency when using digital artifacts for educational purposes. Using a dual-process approach, this study examines the divergent thinking scores (fluidity, flexibility, and originality) and problem-solving speed in CPS of different age groups. Participants engaged in CreaCube CPS tasks with educational robotics for two consecutive instances, with performance analyzed to explore the influence of prior experience and creative intentions. In the first instance, infants and children demonstrated greater originality compared to seniors, solving problems quickly but with less originality. In the second instance, teens, young adults, and seniors showed enhanced originality. The results highlight trends influenced by prior experience and creative intentions, emphasizing the need for customized instructions with modular robotics to improve CPS across the lifespan.
将数字工件用于教育目的时,创造性问题解决(CPS)是一项重要能力。本研究采用双过程方法,考察了不同年龄组在CPS中的发散性思维得分(流畅性、灵活性和独创性)以及问题解决速度。参与者连续两次参与使用教育机器人的CreaCube CPS任务,并对其表现进行分析,以探究先前经验和创造性意图的影响。在第一次任务中,婴幼儿和儿童比老年人表现出更高的独创性,他们解决问题速度快,但独创性较低。在第二次任务中,青少年、年轻人和老年人的独创性有所提高。研究结果突出了受先前经验和创造性意图影响的趋势,强调需要使用模块化机器人提供定制化指导,以在整个生命周期内提高CPS能力。