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An Effectiveness Study of Teacher-Led AI Literacy Curriculum in K-12 Classrooms

AAAI 2024 · Large language models › AI and society · approach: Teacher needs and AI curricula · 29 citations (OpenAlex)

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Quasi-experimental study comparing middle school students taught a 22-lesson AI literacy curriculum (DAILy) by trained teachers against a prior-year comparison group, measuring AI concept understanding and AI empowerment attitudes.

Problem

K-12 AI literacy education has few classroom-tested curricula, and there is little evidence on how teachers (rather than curriculum developers) can teach AI literacy and affect student learning.

Approach

Tests a teacher-led implementation of the DAILy AI literacy curriculum after a teacher professional development program, comparing students across two consecutive academic years and analyzing how two teachers' different implementation frequencies affected outcomes.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add teacher-led DAILy curriculum lessonsMiddle school technology classes · AI-CIAI literacy conceptual understanding: .56 -> .64Helped
Add teacher-led DAILy curriculum lessonsMiddle school technology classes · Machine Learning general conceptsmean score: .64 vs .58No clear effect
Add teacher-led DAILy curriculum lessonsMiddle school technology classes · AI interestmean Likert score: Pretest Mean= 3.45, Posttest Mean=3.31No clear effect
Teach the DAILy curriculum every day instead of once per weekDAILy classroom implementation · AI-CImean score: .61 -> .68Helped
Teach the DAILy curriculum every day instead of once per weekDAILy classroom implementation · Supervised learning questionsmean score: .53 -> .66Helped
Teach the DAILy curriculum every day instead of once per weekDAILy classroom implementation · GAN questionsmean score: .65 -> .79Helped
Teach the DAILy curriculum every day instead of once per weekDAILy classroom implementation · AI attitudes and career futures surveysurvey subscalesNo clear effect

Surprising findings

Limitations

Experimental setup

Datasets: AI Literacy Concept Inventory (AI-CI) AI attitudes and career futures survey

Benchmarks: AI Literacy Concept Inventory (AI-CI) AI attitudes and career futures survey

Metrics: ANCOVA F-statistic Cohen's d paired t-test effect size Cronbach's alpha

Baselines: comparison group of students who did not learn the DAILy curriculum

Builds on: DAILy curriculum AI4K12 guidelines Guskey's Model of Teacher Change Rogers diffusion of innovation

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