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Direct linkBelland, Brian R.; Kim, Chanmin; Zhang, Anna Y.; Lee, Eunseo – ACM Transactions on Computing Education, 2023
This article reports the analysis of data from five different studies to identify predictors of preservice, early childhood teachers' views of (a) the nature of coding, (b) integration of coding into preschool classrooms, and (c) relation of coding to fields other than computer science (CS). Significant changes in views of coding were predicted by…
Descriptors: Predictor Variables, Preservice Teachers, Student Attitudes, Programming
Cyril Brom; Tereza Hannemann; Tereza Tetourová; Anna Drobná; Nikol Kopánková; Kristina Volná; Katerina Kacerovská; Filip Dechterenko; Pavel Ježek; Tereza Stárková – International Journal of Technology and Design Education, 2024
Primary school children frequently use digital devices, which can be infected by computer viruses. In this mixed methods paper with two studies (N = 278 + 114), we examined 8-year-olds' preconceptions about computer viruses and protection against them; how to teach these children about said topics using three different, 30-min-long,…
Descriptors: Computers, Children, Computer Security, Knowledge Level
Download full textBezuidenhout, Hanrie S.; Henning, Elizabeth – Pythagoras, 2022
The current quantitative study, a naturalistic field experiment, was conducted in a public primary school in Soweto, Johannesburg, with the objective to examine how children's achievement on four assessments at the beginning of Grade R, namely their numeracy, their mathematics-specific vocabulary, their executive functions, and their logical…
Descriptors: Programming Languages, Public Schools, Elementary School Students, Grade 1
