Teaching AI with the Hands-On AI Projects for the Classroom Series

Source publication / research team or educational organization described in paper

United States

Researchers, educators, instructors, or facilitators as described in the source publication

• In-school (K-12)
• Higher education

Classroom, course, or resource-based AI education activity

Not specified in extracted text

s that can be used by teachers across grade levels and subject areas to teach K-12 students about artificial intelligence (AI). Artificial intelligence (AI) technologies pervade modern so- ciety, embedded in sma; onal applications. Yet, while AI has become more ubiquitous, AI education for K-12 students re- mains a new frontier for educators and curriculum provid- ers, even in the area of computer science. The Internatio; s in their daily life, community, and world. Since the first release in 2020, K-12 educators have im- plemented the Hands-On AI Projects for the Classroom in schools across the United States and around the world.

AI literacy / AI concepts

• Teacher readiness, time, support, and classroom integration may affect implementation quality.
• Use with minors requires attention to privacy, consent, data minimization, and adult supervision.

K-12, Higher education

Mixed or not explicitly specified; infer from target learner group and intervention design.

Varies by intervention; not specified unless the paper explicitly describes prerequisites.

• Document the AI education intervention, course, tool, or resource described in the source publication.
• Extract the learner context, AI role, pedagogy, outcomes, and constraints for AAB registry comparison.
• Teaching AI with the Hands-On AI Projects for the Classroom Series Nancye Blair Black Teachers College Columbia University International Society for Technology in Education nblack@nancyeblack.com

• Support AAB comparison across AI literacy, AI education, teacher training, higher education, and workforce contexts.
• Capture evidence maturity, transferability, and limitations rather than treating the publication as product endorsement.

• Not an AAB endorsement of the tool, curriculum, provider, or result.
• Not a direct replication record unless the source paper reports implementation details sufficient for replication.

AI literacy / AI concepts

Not specified in extracted text

• Learning object / concept model

• Primary interaction pattern inferred from publication: Teacher professional development.
• AI capability focus: AI literacy / AI concepts.

• Use age-appropriate framing and teacher/facilitator oversight for any classroom deployment.

• Review the publication’s reported context, learner group, AI tool or curriculum, implementation process, and outcome evidence.
• Map the case to AAB registry fields for comparison across educational levels and AI capability types.
• Use the source publication and PDF for any manual verification before public registry release.

• Human educators/researchers remain responsible for instructional design, supervision, interpretation, and ethical safeguards.
• AI systems or AI concepts provide the learning object, support tool, evaluator, simulator, or automation context depending on the paper.

• Hands-on / experiential learning
• Registry extraction emphasizes explicit learning goals, observed outcomes, constraints, and safety limitations.

• Teacher readiness, time, support, and classroom integration may affect implementation quality.
• Use with minors requires attention to privacy, consent, data minimization, and adult supervision.

• Case classified under: Published curriculum / implementation paper.
• Pedagogical pattern: Hands-on / experiential learning.
• Any additional adaptations should be verified against the full paper before public-facing publication.

• Engagement evidence should be interpreted according to the source paper’s reported method and sample.

• No specific learning outcome sentence was automatically extracted from the abstract; manual review recommended.

Teaching AI with the Hands-On AI Projects for the Classroom Series Nancye Blair Black Teachers College Columbia University International Society for Technology in Education nblack@nancyeblack.com

• Use age-appropriate framing and teacher/facilitator oversight for any classroom deployment.

• Activity documentation

• Can be used as an AAB evidence record for cross-case comparison, standards drafting, and evidence-maturity mapping.
• Supports identification of recurring patterns in AI literacy, AI education implementation, teacher preparation, assessment, and responsible AI learning.

• Teacher readiness
• Teacher professional development
• AI literacy / AI concepts

• Completed

K-12, Higher education

In-school (K-12), Higher education

AI literacy / AI concepts

Hands-on / experiential learning

Low to Medium

Medium

Teaching AI with the Hands-On AI Projects for the Classroom Series

• Nancye Blair Black

Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 36 No. 11, EAAI-22

2022

10.1609/aaai.v36i11.21566

https://ojs.aaai.org/index.php/AAAI/article/view/21566

https://ojs.aaai.org/index.php/AAAI/article/view/21566/21315

105_Teaching AI with the Hands-On AI Projects for the Classroom Series.pdf

1

Teaching AI with the Hands-On AI Projects for the Classroom Series Nancye Blair Black Teachers College Columbia University International Society for Technology in Education nblack@nancyeblack.com

• In-school (K-12)
• Higher education

• Teacher readiness, time, support, and classroom integration may affect implementation quality.
• Use with minors requires attention to privacy, consent, data minimization, and adult supervision.

Not specified in extracted text unless noted in duration field.

Requires educators/researchers/facilitators with sufficient AI literacy and pedagogy knowledge for the target learners.

Infrastructure depends on AI tool type, learner devices, data access, and institutional policy context.

Medium

• duration

This entry was automatically extracted from the PDF text and manifest metadata. Fields should be manually verified before public registry publication, especially group size, location, duration, and outcome claims.