Generative artificial intelligence (AI) is becoming increasingly integrated into higher education, creating new opportunities and questions for teaching, learning, and assessment. The purpose of this webpage is to provide practical guidance for using these technologies effectively while maintaining academic integrity and ethical standards. This resource provides evidence-informed guidance and practical strategies for the ethical and effective use of generative AI in assessment. It is designed to help instructors:
- Design assessments that promote meaningful student learning.
- Make intentional decisions about when and how AI may be used.
- Establish clear expectations for responsible and ethical AI use.
- Consider academic integrity when designing and evaluating assessments.
- Align assessment practices with course learning outcomes, disciplinary standards, and institutional expectations.
Throughout this resource, faculty will find strategies, considerations, examples, and additional resources to support thoughtful decision-making about when, how, and to what extent generative AI should be incorporated into assessment practices.
Guiding Principles for Using Generative AI
Faculty should use generative AI in ways that:
- Support Learning First: Assessment design should prioritize student learning outcomes rather than technology use.
- Maintain Academic Integrity: Students should clearly understand when, how, and to what extent AI use is permitted.
- Promote Transparency: Faculty should disclose when AI tools have been used to create assessment materials, feedback, rubrics, or instructional resources.
- Protect Privacy: Sensitive student information should never be entered into public AI systems unless institutionally approved and compliant with privacy regulations.
- Ensure Equity and Accessibility: Assessment practices should not disadvantage students who have limited access to AI tools or who choose not to use them.
A Faculty Checklist for Implementing AI-Supported Assessment Practices provides practical guidance to help instructors design, deliver, and evaluate assessments that incorporate generative AI in ways that align with course learning outcomes and uphold academic standards. The checklist supports faculty in making transparent, equitable, and pedagogically sound decisions about AI use while ensuring that student learning can be effectively assessed and evidenced.
Put It Into Practice
This interactive resource offers practical strategies, considerations, and examples to help instructors design, implement, and evaluate assessments in the age of generative AI. The goal is to support student learning, encourage responsible AI use, and align assessment practices with learning outcomes and disciplinary standards.
Try It As You Go
Each section includes a “Try This” activity that gives instructors an opportunity to put ideas into practice. These activities invite you to reflect on your current approaches, explore new possibilities, and experiment with assessment design in real time. By engaging with these interactive opportunities, faculty can develop the knowledge and confidence needed to make thoughtful decisions about when, how, and to what extent generative AI can be incorporated into their assessment practices.