Towards pedagogical content knowledge learning trajectories: tracing elementary teachers’ infusion of computational thinking

构造(python库) 数学教育 操作化 认知指导教学 专业发展 纪律 教师教育 教学方法 教育学 心理学 教师发展 计算机科学 社会学 认识论 社会科学 哲学 程序设计语言
作者
Robin Jocius,Candace Joswick,Jennifer Albert,Deepti Joshi,Melanie Blanton
出处
期刊:Professional Development in Education [Taylor & Francis]
卷期号:: 1-20 被引量:3
标识
DOI:10.1080/19415257.2023.2228813
摘要

This paper documents the Making CT researcher-practitioner partnership, designed to support in-service elementary teachers in understanding and integrating computational thinking into their disciplinary teaching. Drawing from this collaborative work with teachers, over a sustained time, we describe the shifts in teachers’ integration of CT into their teaching, as well as shifts in their abilities to attend to children’s development of CT skills. In doing so, we have developed a unique construct – pedagogical content knowledge learning trajectories – which draws from literature on learning trajectories, the use of learning trajectories for teacher professional development, and domains of knowledge for teaching. Operationalizing our construct, we propose two specific learning trajectories – first, for integrating CT into disciplinary teaching, and second, for attending to students’ computational thinking – which we describe and illustrate using data from the Making CT teachers. This includes a description of professional learning experiences that supported teacher growth on each of the two learning trajectories, thus explicating the knowledge gained and classroom impact from participation in the Making CT project. Our learning trajectories can be used to plan for CT-specific teacher professional development and our pedagogical content knowledge learning trajectory construct can be applied to additional contexts.
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