AIM-AHEAD & AIHEC Curriculum Development Program

The American Indian Higher Education Consortium (AIHEC), in partnership with AIM-AHEAD, is building sustainable artificial intelligence and machine learning (AI/ML) capacity across Tribal Colleges and Universities (TCUs).

The Curriculum Development Mini-Grant Program represented a critical transition from training individual faculty members to creating sustainable institutional AI/ML capacity. During the Spring 2026 semester, the program funded five mini-grants to support the development of new AI/ML and data science-related courses across TCUs. Faculty principal investigators collaborated with subject matter experts from partnering institutions to develop and implement courses that could be adapted to the needs of individual colleges while contributing to a broader TCU AI/ML curriculum.

AIM-AHEAD & AIHEC Curriculum Development Program Awardees
AIM-AHEAD & AIHEC Curriculum Development Program Awardees

Program Goals

Support TCU faculty in collaborating with subject matter experts from partner institutions. Develop and disseminate AI/ML and data science courses and modular learning experiences through the AIM-AHEAD Connect platform.

Build centralized, accessible, culturally responsive virtual learning environments. Strengthen interdisciplinary collaboration and community building across institutions.

Ensure that courses and modules could be integrated into existing institutional programs. Expand opportunities for TCU students to develop practical AI/ML and data science skills.

AIM-AHEAD & AIHEC AMC Program

Program Awardees

The AIHEC Curriculum Development Program PIs worked with a course collaborator from a partnering public or private university (non-TCU), bringing SME and complementary resources to strengthen the TCU’s capacity. Through this collaboration, a course or series of modular learning units were co-developed and adapted to align with a culturally responsive curriculum that reflects Indigenous knowledge systems and community priorities. These modules integrate topics in AI/ML, data science, and health informatics, ensuring that students gain exposure to technical skills while engaging with case studies and applications relevant to tribal communities. By leveraging both the academic expertise of the partner institution and the cultural context provided by the TCU, the curriculum fosters interdisciplinary learning, upholds tribal data sovereignty, and prepares students to apply emerging technologies in ways that directly benefit their communities.

Distribution of Cohort 1 Awardees by Hub
Distribution of Cohort 1 Awardees by Hub

Geographical Distribution of Trainees by Institution

Cohort 1 Outcomes

The five awards expanded the reach of Phase 1 from faculty development to sustainable academic programming. The initiative also reinforced the importance of ensuring that AI/ML curriculum development respects Indigenous data sovereignty and incorporates Indigenous perspectives rather than treating them as secondary considerations.

Program Inquiries Have a question? Reach out to us by creating a Helpdesk ticket. Create a Helpdesk Ticket
Program Directors Legand Burge, PhD; Toufeeq Syed, PhD; Tyler Parisien, PhD
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