Coding Readiness Assessment: A Measure of Computational Thinking for Preschoolers

Coding and computational thinking (CT) are important skills to include in early childhood education. Measuring these vital skills in preschool-age children can be challenging. We modified the TechCheck-PreK assessment, an unplugged measure of CT for 3-to-5-year-old children, to increase reliability and to add foundational coding concepts. We created the Coding Readiness Assessment (CRA) from a subset of nine TechCheck-PreK items and twelve new items that assess additional CT and coding readiness constructs. In an initial feasibility study of the CRA, teachers observed impulsive responses by children. We mitigated this by implementing a brief delay between the appearance of the question and the timeframe in which children could respond. In a subsequent randomized control trial, the CRA was administered 1637 times by Head Start educators. The assessment took an average of 9.8 min to administer. CRA scores were normally distributed and increased on average as a function of age. Girls scored slightly higher than boys, although the difference was not significant when age and race were taken into account. The CRA showed acceptable levels of reliability in terms of internal consistency (α = 0.78) and test–retest reliability (r = 0.65). Results from a 3PL indicate that the CRA has suitable levels of difficulty and skill level discrimination for 3-to-5-year-olds. The 3PL guessing parameter was 0.28, indicating that steps to reduce impulsive responses were successful. We conclude that the CRA has suitable properties for assessing preschool-age children’s CT skills and coding readiness.