Enhancing computational thinking in early childhood education through ScratchJr integration

Abstract

A plethora of programming platforms purports to teach preschool-aged children computational thinking (CT) and coding skills. However, the empirical evidence to support their effectiveness is still in its early stages. A three-week didactic intervention using ScratchJr was conducted to investigate its effectiveness in fostering CT and rudimentary coding skills in a cohort of preschool children (N = 34, aged 4–6 years). While the initial performance mean of the control group (M = 7.07, SD = 2.58) exhibits a statistically significant elevation t (22.64 = 2.23, p = 0.036) vis-à-vis the experimental group (M = 5.35, SD = 1.58), t (22.64) = 2.23, p = 0.0 the terminal performance means of both groups converge closely. However, meticulous data analysis unveils a statistically notable enhancement among preschool participants exposed to the educational intervention involving ScratchJr. Notably, both instructional modalities appear commensurate in nurturing elementary computational tenets, namely modularity and control structures. The experimental cohort outperforms the control group with statistical significance in comprehending potent ideational constructs encompassing representation, algorithms, and hardware/software interplay. Conversely, the control group performs better in grasping the debugging concept than their experimental counterparts. The outcomes lend substantive credence to the efficacy of the distinct programming milieu offered by ScratchJr, underscoring its effectiveness in cultivating CT and coding proficiencies within the preschool demographic.