Interest in K-12 AI Literacy education has surged in the past year, yet large-scale learning data remains scarce despite considerable efforts in developing learning materials and running summer programs. To make larger scale dataset available and enable more replicable findings, we developed an intelligent online learning platform featuring AI Literacy modules and assessments, engaging 1,000 users from 12 secondary schools. Preliminary analysis of the data reveals patterns in prior knowledge levels of AI Literacy, gender differences in assessment scores, and the effectiveness of instructional activities. With open access to this de-identified dataset, researchers can perform secondary analyses, advancing the understanding in this emerging field of AI Literacy education.
@article{arxiv.2412.14200,
title = {ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale},
author = {Ruiwei Xiao and Ying-Jui Tseng and Hanqi Li and Hsuan Nieu and Guanze Liao and John Stamper and Kenneth Koedinger},
journal= {arXiv preprint arXiv:2412.14200},
year = {2024}
}
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Companion Proceedings 15th International Conference on Learning Analytics & Knowledge (LAK25)