Faculty and Staff Repository

As AI tools become increasingly prevalent in education, faculty face the challenge of managing their use effectively in the classroom. Rather than trying to prevent AI use entirely, a more productive approach is to establish clear guidelines and teach students how to use these tools responsibly and effectively. This guide provides strategies for creating an environment where AI enhances rather than undermines learning.

1. Establish Clear Guidelines

Sample Policy Statement:

"In this course, AI tools may be used for [specific tasks/purposes]. When using AI, you must:

Document all AI interactions in your work
Explain how AI input influenced your thinking
Submit both AI-generated content and your revisions
Cite AI use according to course guidelines"

2. Define Boundaries

Permitted Uses:

Brainstorming and idea generation
Initial research and background information
Writing feedback and revision suggestions
Language support for ESL students

Prohibited Uses:

Submitting AI-generated work as your own
Using AI for exam responses
Generating complete assignments without modification
Hiding or failing to acknowledge AI use

Prompt Crafting Skills

Demonstrate Effective Prompts: Show examples of well-crafted vs. poor prompts
Practice Activities: Guide students through prompt writing exercises
Feedback Loop: Help students refine their prompting strategies

Critical Evaluation

Fact-Checking: Teach verification of AI-generated information
Output Analysis: Guide evaluation of AI responses
Bias Recognition: Help identify potential AI biases

Documentation Practices

Citation Methods: Establish clear AI citation guidelines
Process Logs: Require documentation of AI interactions
Reflection: Encourage analysis of AI's role in learning

Structured Activities

AI Analysis Exercise:

"Generate three AI responses to the same prompt, then analyze:

Differences in responses
Strengths and weaknesses
Potential biases or limitations
How to improve the prompt"

Collaborative Projects

Group evaluation of AI-generated content
Peer review of AI integration strategies
Team projects using AI as a research tool

Skill Development

Workshops on effective AI use
Practice sessions for prompt writing
Feedback on AI integration methods

Process Documentation

Require AI interaction logs
Include reflection components
Document revision processes

Skill Evaluation

Assess prompt writing ability
Evaluate critical analysis of AI outputs
Review integration strategies

Learning Outcomes

Focus on understanding rather than reproduction
Evaluate application and analysis skills
Consider AI literacy development

Academic Integrity

Establish clear documentation requirements
Create assignments that make AI misuse obvious
Focus on process and understanding

Equity Issues

Ensure equal access to AI tools
Provide alternatives when needed
Consider technology limitations

Quality Control

Teach critical evaluation skills
Encourage verification of AI information
Promote thoughtful integration

Model appropriate AI use in class
Provide regular feedback on AI integration
Update policies based on emerging tools
Create opportunities for skill development
Maintain focus on learning objectives

Effective management of student AI use requires:

Clear policies and guidelines
Direct instruction in responsible use
Structured integration activities
Appropriate assessment strategies
Ongoing support and guidance

Faculty and Staff AI Resource Repository

Managing Student AI Use in Class