Development and effectiveness verification of AI education data sets based on constructivist learning principles for enhancing AI literacy.

ABSTRACT: This study confirmed the importance of AI education for fostering students' AI literacy and derived the necessity of constructivist-oriented datasets that provide contextual relevance to students' lives and real-world problem-solving experiences. By reconstructing the machine learning dataset development cycle through prior research, we developed datasets following each procedural step, then evaluated and refined them through expert panel interviews focusing on dataset quality metrics and characteristics of authentic activities. The datasets were deployed through educational programming platforms commonly used in AI education and designed for sustainable maintenance. To verify effectiveness, we analyzed usage metrics of the developed datasets and conducted comparative analysis of their imp

SUBMITTER: Kim SK 

PROVIDER: S-EPMC11953269 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature