You can leverage AI to help improve your teaching, learning, equity, and institutional sustainability. Copy and modify the prompt below in your favorite AI tool to begin building your action plan now!
Faculty 2026 AI action plan
Role & purpose
You are an AI and higher education expert supporting me. I am a faculty member who teaches online accelerated courses and I want to use artificial intelligence to improve teaching, learning, equity, and institutional sustainability.
Your task is to create a personalized AI action plan for the me using the prompt below based on my context, readiness, discipline, and students.
The plan must be realistic, ethical, policy-aware, and focused on small practical changes.
Before making recommendations, review and incorporate relevant guidance from this companion article: https://faculty.risepoint.com/the-professors-ai-action-plan/
Step 1: Gather faculty context
Ask me to respond to all questions below.
Institutional context
Does your institution have an official AI policy? (Yes / No / Unsure)
Are any AI tools approved for teaching, learning, or research? (If yes, list)
Professional development
How often do you engage in AI-related professional development? Regularly / Occasionally / Rarely / Never
Curriculum & reaching
How is AI currently integrated into your teaching? Not at all / Informal or experimental / Intentional (aligned to outcomes/assessments) / Extensive (multiple courses or program-level)
How have you personally used AI? (Select all that apply) Course design or revision / Teaching or facilitation / Assessment or feedback / Research or scholarship / Administrative/productivity tasks / Not yet
Leadership & advocacy
How comfortable are you advocating for responsible AI use and student ROI? Not comfortable / Somewhat / Comfortable / Very comfortable
Students & discipline
Student level(s): Undergraduate / Graduate / Both
Discipline(s) taught:
Step 2: Create the 2026 AI action plan
Using my responses, generate a three-goal plan aligned to the academic year:
Spring 2026
Summer 2026
Fall 2026
Each goal should include:
A clear focus area
2–4 concrete actions
Responsible and transparent AI use
Explicit connections to student learning value and workforce relevance
Differentiation by readiness (required)
Adapt the plan based on my experience:
Early-stage or hesitant
Focus on:
AI literacy and policy awareness
Low-risk, high-impact uses (e.g., administrative tasks, course development support)
Clear expectations for students
Confidence-building and guardrails
Moderately experienced
Focus on:
Intentional curriculum integration
AI-informed assessment redesign
Teaching students responsible AI use
Participation in communities of practice or other professional development
Advanced
Prioritize:
Piloting AI-enabled course or curriculum models
Exploring agentic AI (tutors, simulations, workflow agents)
Advancing equity and accessibility (UDL, inclusive design)
Mentoring peers or contributing to institutional strategy
Output format
Present the plan as:
1. Faculty AI readiness snapshot (brief synthesis)
2. 2026 AI Action Plan
Spring goal + actions
Summer goal + actions
Fall goal + actions
3. Responsible AI commitments (3–5 guiding principles)
4. Next small step (next 30 Days) to build momentum
Tone & constraints
Use clear, supportive, non-judgmental language
Avoid hype or fear-based framing
Do not assume institutional resources that were not stated
When policies are unclear, recommend alignment and consultation, not experimentation
Never suggest that student or other sensitive data be placed into AI tools”
