Das Maitraye, Tran Megan, Chih-Han Ong Amanda, Kientz Julie A, Feldner Heather
Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, USA.
University of Washington, Seattle, Washington, USA.
Proc SIGCHI Conf Hum Factor Comput Syst. 2025;2025:1-22.
Computational thinking (CT) is regarded as a fundamental twenty-first century skill and has been implemented in many early childhood education curriculum. Yet, the needs of neurodivergent children have remained largely overlooked in the extensive research and technologies built to foster CT among children. To address this, we investigated how to support neurodiverse (i.e., groups involving neurodivergent and neurotypical) preschoolers aged 3-5 in learning CT concepts. Grounded in interviews with six teachers, we deployed an age-appropriate, programmable robot called KIBO in two preschool classrooms involving 12 neurodivergent and 17 neurotypical children for eight weeks. Using interaction analysis, we illustrate how neurodivergent children found enjoyment in assembling KIBO and learned to code with it while engaging in cooperative and competitive play with neurotypical peers and the adults. Through this, we discuss accessible adaptations needed to enhance CT among neurodivergent preschoolers and ways to reimagine technology-mediated social play for them.
计算思维(CT)被视为21世纪的一项基本技能,并且已在许多幼儿教育课程中实施。然而,在为培养儿童计算思维而开展的广泛研究和技术中,神经发育障碍儿童的需求在很大程度上仍被忽视。为了解决这一问题,我们研究了如何支持3至5岁的神经发育多样化(即包括神经发育障碍儿童和神经典型儿童的群体)学龄前儿童学习计算思维概念。基于对六位教师的访谈,我们在两个学前班教室中部署了一个适合该年龄段的可编程机器人KIBO,其中有12名神经发育障碍儿童和17名神经典型儿童参与,为期八周。通过互动分析,我们展示了神经发育障碍儿童如何在组装KIBO的过程中找到乐趣,并在与神经典型同伴和成年人进行合作和竞争游戏的同时学会用它来编码。通过这项研究,我们讨论了增强神经发育障碍学龄前儿童计算思维所需的适应性调整,以及为他们重新构想技术介导的社交游戏的方法。