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Iseli, Markus; Feng, Tianying; Chung, Gregory; Ruan, Ziyue; Shochet, Joe; Strachman, Amy – Grantee Submission, 2021
Computational thinking (CT) has emerged as a key topic of interest in K-12 education. Children that are exposed at an early age to STEM curriculum, such as computer programming and computational thinking, demonstrate fewer obstacles entering technical fields. Increased knowledge of programming and computation in early childhood is also associated…
Descriptors: Computation, Thinking Skills, STEM Education, Coding
Feng, Tianying; Chung, Gregory K. W. K. – Grantee Submission, 2022
A critical issue in using fine-grained gameplay data to measure learning processes is the development of indicators and the algorithms used to derive such indicators. Successful development--that is, developing traceable, interpretable, and sensitive-to-learning indicators--requires understanding the underlying theory, how the theory is…
Descriptors: Games, Data Collection, Learning Processes, Measurement
Emily Vera Relkin – ProQuest LLC, 2022
This study explores how children from two to nine years of age develop Computational Thinking (CT) skills. The term "CT" denotes a set of cognitive processes that are useful for framing and solving problems using computers and other information processing agents. Acquisition of CT skills is traditionally associated with learning to code…
Descriptors: Young Children, Computation, Thinking Skills, Skill Development
Emily Relkin; Sara K. Johnson; Marina U. Bers – Educational Technology & Society, 2023
"TechCheck" is an assessment of Computational Thinking (CT) for early elementary school children consisting of fifteen developmentally appropriate unplugged challenges that probe six CT domains. The first version of "TechCheck" showed good psychometric properties as well as ease of administration and scoring in a validation…
Descriptors: Elementary School Students, Developmentally Appropriate Practices, Computation, Thinking Skills

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