Date
Publisher
arXiv
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.
Study at a glance
- Question: How can an online learning platform support K-12 AI literacy education and provide large-scale learning data?
- Setting and data: 1,000 users from 12 secondary schools using an online learning platform.
- Method: Platform development and analysis of user assessment and learning data.
Why it matters
Interest in K-12 AI literacy education has surged, yet large-scale learning data remains scarce despite efforts to develop materials and run summer programs. Larger-scale datasets are needed to enable more replicable findings in this emerging field.
Key findings
- Prior AI literacy knowledge followed distinct patterns among 1,000 users across 12 secondary schools learning on an online platform.
- Student assessment scores on the platform revealed differences across genders.
- Preliminary data indicated that the platform's instructional activities were effective for AI literacy education.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who age?
Why use AI?
Study design
