AIUL Tagging Guide

Effective implementation of AIUL tags requires thoughtful consideration of learning objectives, assignment requirements, and student needs. This guide provides best practices for applying AIUL tags to your assignments.

When to Use Each Tag

AIUL-NA: Not Allowed

Use this tag when:

• The learning objective specifically involves developing skills without computational assistance
• You need to assess a student's baseline abilities
• Technical proficiency with traditional methods is a core learning outcome
• Authentication of student work is especially important (such as exams)

AIUL-WA: With Approval

Use this tag when:

• Some students may benefit from AI assistance due to accessibility needs
• You want to maintain a primarily human-generated approach but remain flexible for specific cases
• You want to maintain some control over which AI tools are used and how

AIUL-CD: Conceptual Development

Use this tag when:

• Students can benefit from AI-assisted research or ideation
• You want students to use AI for background knowledge or conceptual exploration
• Final execution should demonstrate the student's own technical abilities

AIUL-TC: Transformative Collaboration

Use this tag when:

• The focus is on iterative development and refinement
• Students should learn to direct and collaborate with AI tools
• The process is as important as the final product
• You want students to critically engage with AI outputs

AIUL-DP: Directed Production

Use this tag when:

• The focus is on concept, direction, and post-processing rather than initial creation
• You want to emphasize students' ability to guide and refine AI outputs
• Technical execution is less important than creative direction

AIUL-IU: Integrated Usage

Use this tag when:

• Learning to work with AI tools is a core objective
• The assignment specifically focuses on AI ethics, capabilities, or limitations
• Students need to demonstrate prompt engineering skills
• The course is specifically about AI-integrated creative practice

Documentation and Transparency

For assignments with tags AIUL-CD through AIUL-IU, we recommend requiring students to document their AI usage. This documentation might include:

• Which AI tools were used
• How they were used in the process
• What prompts or inputs were provided
• How AI outputs were modified or integrated
• Reflections on the human-AI collaboration process

This documentation promotes transparency, encourages reflective practice, and helps students develop metacognitive awareness of their creative process.

Sample Syllabus Language

For detailed sample syllabus language and implementation guidelines, visit our Resources page or use our Tag Generator Tool to generate assignment-specific language.