Bridging the AI Gap: Evaluating the Impact of an AI Education Program for Caregivers on Parental Leave

Source publication / research team or educational organization described in paper

Canada

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

• Professional / adult learning

Classroom, course, or resource-based AI education activity

Not specified in extracted text

all stu- dents who had completed the C&ML program in the 2022 and 2023 cohorts (n=80). The invitation included a letter of information outlining research goals and a link to the elec- tronic survey. No in; all stu- dents who had completed the C&ML program in the 2022 and 2023 cohorts (n=80). The invitation included a letter of information outlining research goals and a link to the elec- tronic survey. No in; facilitate interactive and flexible learning experiences, a small class ratio (5 students:1 teaching assistant (TA)), extended hours support with TAs to accommodate non-traditional working hours, a $500 childc

ML concepts / supervised learning

• The paper provides limited implementation detail in the extracted abstract; additional manual review may be needed for local replication.

Adult / workforce

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.
• Artificial Intelligence (AI) literacy is increasingly important across many fields, yet caregivers remain underrepresented in AI-related fields due to a combination of systemic and individual barriers.

• 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.

ML concepts / supervised learning

Not specified in extracted text

• Learning object / concept model

• Primary interaction pattern inferred from publication: Curriculum / course design.
• AI capability focus: ML concepts / supervised learning.

• Apply standard AAB safeguards: privacy, transparency, human oversight, and documentation of limitations.

• 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.

• The paper provides limited implementation detail in the extracted abstract; additional manual review may be needed for local replication.

• Case classified under: Published empirical study.
• 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.
• To address this, the Caregivers and Ma- chine Learning (C&ML) program developed and delivered an accessible AI education program to caregivers on parental leave.

• To address this, the Caregivers and Ma- chine Learning (C&ML) program developed and delivered an accessible AI education program to caregivers on parental leave.
• Two cohorts participated in this 6-week interprofes- sional program, featuring fundamental machine learning con- cepts, hands-on programming assignments, and a capstone project.
• Post-program surveys and semi-structured interviews high- light that caregivers often face barriers such as the rapid pace of AI, discrimination, and balancing caregiving responsibili- ties with learning new skills.

Artificial Intelligence (AI) literacy is increasingly important across many fields, yet caregivers remain underrepresented in AI-related fields due to a combination of systemic and individual barriers. To address this, the Caregivers and Ma- chine Learning (C&ML) program developed and delivered an accessible AI education program to caregivers on parental leave.

• Apply standard AAB safeguards: privacy, transparency, human oversight, and documentation of limitations.

• Survey
• Qualitative study

• 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.

• AI literacy
• Conceptual understanding
• Engagement / motivation
• Curriculum / course design
• ML concepts / supervised learning

• Completed

Adult / workforce

Professional / adult learning

ML concepts / supervised learning

Hands-on / experiential learning

Low to Medium

Medium

Bridging the AI Gap: Evaluating the Impact of an AI Education Program for Caregivers on Parental Leave

• Kristina L. Kupferschmidt
• Flora Wan
• Juan Carrasquilla Alvarez
• Dora Gaviria Castaño
• Graham W. Taylor
• Sedef Akinli Kocak

Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 39 No. 28, EAAI-25

2025

10.1609/aaai.v39i28.35174

https://ojs.aaai.org/index.php/AAAI/article/view/35174

https://ojs.aaai.org/index.php/AAAI/article/view/35174/37329

011_Bridging the AI Gap_ Evaluating the Impact of an AI Education Program for Caregivers on Parental Leave.pdf

8

Artificial Intelligence (AI) literacy is increasingly important across many fields, yet caregivers remain underrepresented in AI-related fields due to a combination of systemic and individual barriers. To address this, the Caregivers and Ma- chine Learning (C&ML) program developed and delivered an accessible AI education program to caregivers on parental leave. Two cohorts participated in this 6-week interprofes- sional program, featuring fundamental machine learning con- cepts, hands-on programming assignments, and a capstone project. This study examines the program’s impact on par- ticipants, focusing on their motivations and barriers before, during, and after the program as outcomes after completion. Post-program surveys and semi-structured interviews high- light that caregivers often face barriers such as the rapid pace of AI, discrimination, and balancing caregiving responsibili- ties with learning new skills. The C&ML program’s flexible structure and personalized support network were critical in enabling participants to fully engage in the program, leading to significant improvements in their knowledge of ML and in- creased confidence in applying these skills. After completing the program, 20% of participants transitioned into AI-related roles or pursued further education. This research highlights the value of targeted, inclusive educational programs for un- derrepresented groups and provides practical recommenda- tions for refining future AI training programs for caregivers.

• Professional / adult learning

• The paper provides limited implementation detail in the extracted abstract; additional manual review may be needed for local replication.

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.

High

• 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.