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Observing Abstraction in Young Children Solving Algorithmic Tasks

机译:观察解决算法任务的幼儿中的抽象

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Abstraction is considered an essential aspect of computational thinking. Primary schools are starting to include computational thinking into the curriculum. However, in order to guide their support, teachers need to know how to recognize abstraction. In this paper, we present how we can observe abstraction in young children tasked with solving an algorithmic assignment. In order to operationalize abstraction, we have used the layers of abstraction (LOA) model by Perrenet, Groote and Kaasenbrood. This model was originally used in the field of computer science and describes programming behavior at the level of software development, but has since been extended for use in primary education. We have operationalized this model for use with 5 to 6 year old students tasked with programming an educational robot. Their behavior has been related to each of the four layers of abstraction. Students were individually instructed with programming Cubetto, an educational robot, to reach a number of destinations, increasing in the level of algorithmic complexity. We analyzed audio and video recordings of the students interacting with Cubetto and a teacher. Verbal and nonverbal behavior were categorized by two researchers and resulted in an observation schema. We conclude that our operationalization of the LOA model is promising for characterizing young students' abstraction. Future research is needed to operationalize abstraction for older primary school students.
机译:抽象被认为是计算思维的重要方面。小学开始将计算思维纳入课程中。但是,为了指导他们的支持,教师需要知道如何识别抽象。在本文中,我们介绍了如何在负责解决算法分配任务的幼儿中观察抽象。为了实现抽象,我们使用了Perrenet,Groote和Kaasenbrood的抽象层(LOA)模型。该模型最初用于计算机科学领域,用于描述软件开发级别的编程行为,但此后已扩展为用于初等教育。我们已将此模型投入运营,以供5至6岁的学生使用,他们需要对教育机器人进行编程。它们的行为与四个抽象层的每一个都相关。通过编程教育机器人Cubetto分别指导学生到达多个目的地,从而增加了算法的复杂性。我们分析了与Cubetto和老师互动的学生的音频和视频记录。口头和非口头行为被两名研究人员归类,形成了一个观察图式。我们得出的结论是,我们对LOA模型的操作对于表征年轻学生的抽象很有希望。需要对未来的小学生进行抽象化研究。

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