1) Course Design + Syllabus Support

Use AI to strengthen the course structure, increase accessibility, and reduce confusion before the semester even begins.

Ideas

• Upload your syllabus and check it for clarity, inclusion, workload pacing, and accessibility

• Improve assignment directions without changing the learning goals

• Turn individual assignments into collaborative versions

• Generate scaffolds (beginner/intermediate/advanced expectations)

Example prompts

• “Here is my syllabus. Review it for clarity, accessibility, and workload balance. Suggest improvements while keeping my voice and course goals intact.”

• “Rewrite this assignment so the steps are unambiguous. Add a checklist and common mistakes section.”

• “Convert this assignment into 3 group-based versions: (1) pairs, (2) teams of 4, (3) whole-class collaboration. Keep outcomes the same.”

• “Create a beginner / intermediate / advanced scaffold for this project, including what ‘strong work’ looks like at each level.”

2) Assignment Design + Creative Learning Activities

Use AI to create prompts that generate story, structure, and visual decision-making—without outsourcing the art.

Ideas

• AI interviews students to generate story material, then converts it into image-ready frames

• Students write stories based on peer images (and compare interpretations)

• Improve a working assignment by making the presentation more engaging

• Generate multiple versions of the same assignment to support choice

Example prompts

• “Interview me to help generate a short narrative based on a personal experience. Then break it into 8 storyboard frames with clear visual descriptions.”

• “I’m going to describe an image. Ask me clarifying questions until you can generate a strong written prompt for illustration.”

• “I have a homework assignment that works, but I want the in-class rollout to be more engaging. Give me 5 ways to introduce it, including one interactive activity.”

• “Give me 4 versions of this assignment: one quiet/reflective, one collaborative, one experimental, one skills-focused.”

3) Class Prep + Lesson Planning

Use AI to reduce prep time and help you walk into class with a clear plan.

Ideas

• Generate a prep checklist: materials, demos, slides, timing, and what to model

• Create a “TA support list” of tasks during class

• Rewrite assignments into a step-by-step to-do list for students

• Build quick lecture outlines and discussion questions

Example prompts

• “Here’s the assignment. Make a class-prep checklist: what I need to bring, what to demonstrate, what to show on slides, and what students should accomplish in 90 minutes.”

• “Create a 5-minute opening, 15-minute demo, 40-minute studio work block, and 20-minute share-out plan for this lesson.”

• “Rewrite this assignment as a student-facing checklist with estimated time per step.”

• “Give me 10 discussion questions that connect this project to design principles and contemporary examples.”

4) Critique + Reflection Support

Use AI to help students capture feedback, translate critique into action, and build stronger artistic language.

Ideas

• Students record critique notes and convert them into actionable next steps

• AI generates targeted critique questions based on the assignment goals

• Students compare two works using consistent critique vocabulary

• AI supports reflective writing without becoming generic

Example prompts

• “Here are my critique notes. Turn them into 5 specific actions I can complete in my next studio session.”

• “Generate critique questions for this assignment. Separate them into: technique, composition, concept, and audience impact.”

• “Help me write a short reflection: what worked, what didn’t, what I changed, and what I learned. Ask me questions first.”

• “Compare these two pieces using formal observation first, then interpretation. Keep it evidence-based.”

5) Rubrics + Assessment Alignment

Use AI to make grading criteria clearer and ensure the rubric actually matches the task.

Ideas

• Check rubric alignment with assignment outcomes

• Rewrite rubric language into student-friendly terms

• Create examples of what “excellent / proficient / developing” looks like

• Generate a grading workflow (quicker, more consistent feedback)

Example prompts

• “Here is my assignment and rubric. Identify any misalignments and suggest improvements so the rubric measures what the assignment actually asks students to do.”

• “Rewrite this rubric in student-friendly language while keeping expectations rigorous.”

• “Give 3 examples of what ‘excellent’ looks like for this project (without inventing student work—describe qualities).”

• “Help me create a fast grading checklist for this assignment so I can give consistent feedback in under 5 minutes per student.”

6) Student Workflow Support (Help Desk + Planning)

Use AI to give students support without reducing the rigor—especially for multi-step projects.

Ideas

• AI acts like an “assignment help desk” using only course materials

• Students generate work plans based on their weekly availability

• AI checks requirement completion (format, number of thumbnails, references, etc.)

• Students translate assignment language into a personal plan

Example prompts

• “Use only the assignment text below. Answer my questions about what I’m supposed to do, but don’t create the content for me.”

• “I have 3 hours total this week. Make me a realistic plan to complete this project with checkpoints.”

• “Here’s my plan for the assignment. Review it and tell me what I’m missing or misunderstanding.”

• “Turn these instructions into a simple to-do list I can follow over 4 studio sessions.”

7) Responsible Use + Trust (Guidelines for AI)

Use AI to build transparency and protect the learning process, especially when students are experimenting with new tools.

Ideas

• Create assignment-specific AI guidelines (allowed / not allowed / citation expectations)

• Require process evidence and decision-making checkpoints

• Build a short “AI transparency statement” students can include

• Teach students how to use AI for feedback and planning rather than producing final work

Example prompts

• “Write an AI usage policy for this assignment. Include: what is allowed, what is not allowed, and what students must document.”

• “Create a short ‘AI transparency statement’ template students can include when AI supported planning or revision.”

• “Give me 5 ways students can use AI responsibly in this project that still protects learning.”

• “Design a process checklist that requires thumbnails, drafts, and reflection so the final work shows student development.”

8) Instructor Ops (Workflow + Time Management)

AI can support the behind-the-scenes systems that keep a class running smoothly—grading rhythm, pacing, reminders, and prep follow-through.

Ideas

• Review your schedule and suggest grading windows and check-in points

• Generate a daily “teaching brief” from the syllabus

• Provide weekly pacing adjustments based on what actually happened

• Create reminders for materials, demos, and admin tasks

Example prompts

• “Here’s my weekly teaching schedule. Help me create a grading rhythm so students get feedback within 7 days consistently.”

• “Based on this syllabus, generate a ‘today’s teaching brief’ with what to cover, time checks, and key reminders.”

• “Here’s what we got done this week. Help me adjust next week’s plan without rushing the learning.”

• “Make a checklist of everything I need to prep for next Tuesday’s class session.”

9) In-Class Augmentation (Wearables + Capture Tools)

Wearables can support teaching when they improve capture, pacing, and continuity—not surveillance.

Ideas

• Glasses or wearable camera for recording demonstrations

• Capture critique audio for student review and revision planning

• Timekeeping and transitions during long studio blocks

• Quick reminders of what to cover next

Example prompts

• “Summarize this recorded demo into step-by-step instructions students can follow.”

• “Turn this critique audio transcript into actionable next steps and a short reflection prompt.”

• “Create a timed agenda for today’s class with 3 transitions and a 5-minute closing reflection.”

10) Creative Practice Development (Beyond the Assignment)

Use AI to help students build a studio mindset—clarifying intention, analyzing failure, and strengthening meaning.

Ideas

• “Failure review” prompts: intention vs execution

• Artist statement support through interview format

• Concept probing: meaning, audience, symbolism, stakes

• Iteration planning: what to test next, what to refine

Example prompts

• “Here’s a piece that didn’t work. Ask me questions to identify what I was trying to do, what failed, and what I should test next.”

• “Interview me to help write an artist statement in my voice. Keep it grounded in process and intent.”

• “Help me articulate the conceptual stakes of this piece. What am I protecting, revealing, resisting, or claiming?”

• “Suggest three ways to iterate this work: one technical adjustment, one compositional shift, one conceptual shift.”