AI and Assessments
As generative AI becomes more accessible to students, assessment practices must evolve to uphold academic integrity while encouraging authentic learning. At Pingry, assessments should reflect our commitment to the Honor Code, critical thinking, and relational teaching, ensuring students are not only demonstrating what they know, but also how they think, create, and apply knowledge in a responsible way.
AI and Academic Integrity: Assessment Considerations
- Design for Process, Not Just Product
- Be Transparent About AI Expectations
- Use AI-Resistant Formats
- Encourage Transparency and Attribution
- Assess AI Literacy Itself
Design for Process, Not Just Product
Be Transparent About AI Expectations
Use AI-Resistant Formats
Encourage Transparency and Attribution
Assess AI Literacy Itself
The AI Assessment Scale is a popular framework to guide the appropriate and ethical use of generative AI in assessment design. If you choose No AI, explain to students the purpose of the assignment. When students understand how an assignment supports their learning and connects to course goals, they are more likely to engage with it authentically, reducing the likelihood of cheating. A clear purpose fosters a sense of relevance, ownership, and trust, which encourages students to focus on growth rather than just performance. It also creates opportunities for teachers to clarify expectations around academic integrity, including the appropriate use of tools like AI. By promoting transparency and meaningful learning, this practice supports a culture of honesty and personal responsibility.