AAII Focused Priorities
Building institutional capacity and AI Readiness and fluency across faculty, staff, and students.
1. Faculty & Staff AI Capacity Building
- AI for Instructors & Administrators Program
- Structured professional development for faculty and staff introducing practical AI tools for teaching, communication, and productivity.
- Tiered training model: AI Awareness -> Applied Practice-> Integration & Sharing.
- Focus on generative AI, data literacy, academic integrity, and classroom innovation.
- AI Pedagogy Incubator
- Fellowship-style initiative supporting faculty who embed AI learning activities into existing courses.
- Showcase of innovative classroom uses of AI for instruction and student engagement.
2. Student Learning & Curricular Integration
- Discipline Specific AI Modules
- Short, faculty-led modules inserted into existing courses, co-developed through the AI Pedagogy Incubator.
- Provide students with hands-on exposure to real-world AI tools relevant to their major.
3. AAII Learning Hub
- AAII Learning Hub
- Digital platform housing AI workshop recordings, instructional modules, and analytics dashboards for tracking participation and impact.
- Enables cross-campus resource sharing and consistent quality in training content.
- AI in Teaching & Learning Research Group
- Collaborative faculty-staff-student research team studying how AI impacts teaching effectiveness, administrative workflows, and learning outcomes.
Accessibility | Research & Evaluation | Responsible & Transparent AI | Scalable & Sustainable Models
- Accessibility: Ensure all offerings all students
- Research & Evaluation: Measure learning gains, adoption rates, and performance improvements across internal and external programs.
- Responsible & Transparent AI: Emphasize ethical use, explainability, and human-centered applications.
- Scalable, Sustainable Models: Build programs that can adapt and grow with evolving needs and technology.
