Measuring K-12 Computational Thinking Concepts, Practices and Perspectives: An Examination of Current CT Assessments

ID: 54069 Type: Full Paper
  1. Catherine Adams, Maria Cutumisu, and Chang Lu, University of Alberta, Canada

Tuesday, March 19 10:45 AM-11:15 AM Location: Celebrity Ballroom 1&2 View on map

No presider for this session.

Abstract: Computational Thinking (CT) is an essential skill for K-12 students in the 21st century. Many CT assessment instruments have been implemented for students at different grade levels. However, there is a lack of systematic grouping of CT assessments to assist researchers and practitioners in selecting a suitable CT assessment instrument to use. To better understand the growing field of CT assessment, this paper presents a set of 26 CT assessments that were scoped during a recent review of the literature, coded by the specific competencies measured, and organized into a 3D Hybrid CT Framework based on Brennan and Resnick (2012), Grover and Pea (2018), and Zhong, Wang, Chen, and Li (2016).


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