Framework
AI Assessment Scale
Explore a practical framework for communicating how students may use generative AI in assessments and for aligning permitted AI use with learning outcomes.
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Faculty Resources
AI for Faculty
Explore resources to help you use artificial intelligence thoughtfully and effectively in teaching, research, creative work, and service. Find practical guidance, learning opportunities, and tools to support informed decisions about AI in your discipline.
Featured Learning Opportunity
AI Workshops for Faculty
Build your understanding of artificial intelligence through workshops and academic technology training. Explore emerging tools, responsible use, course design, and practical approaches to teaching with AI.
Training opportunities are available for CU Denver faculty and instructional staff. Visit the Academic Technology Trainings page for current offerings and registration information.
View Academic Technology Trainings →
New Faculty Resource
AI-Use Policy Statement Generator for Faculty
The CU Denver AI Faculty Fellows have released a web-based tool to help faculty create clear, course-specific AI-use policy statements for syllabi and other course materials.
Because there is no one-size-fits-all approach to AI use in teaching and learning, the tool allows instructors to:
- Set appropriate levels of AI use for individual assignments, activities, and course deliverables.
- Customize permitted uses based on course learning objectives.
- Generate a policy statement that is ready to review and add to a syllabus.
- Add optional language addressing AI-use disclosure, verification responsibilities, and data privacy.
Use of this tool is entirely optional. Faculty retain discretion in determining how or whether AI may be used to support student learning in their courses. Review and revise generated language before adding it to official course materials.
Questions or feedback? Email Farnoush Banaei-Kashani .
Faculty Resources
AI and Assessment Resources
Explore publicly available frameworks, research, and institutional guidance to help you design meaningful assessments, communicate expectations for AI use, and evaluate the limitations of AI-detection tools.
Curated with materials recommended by the CU Denver Office of Assessment. External resources are provided for professional learning and do not replace official CU Denver policies or guidance.
Assessment Design and Frameworks
Use these resources to clarify acceptable AI use and design assessments that support learning, integrity, and valid evaluation.
Assessment Design
Two-Lane Approach to Assessment
Learn about the University of Sydney’s approach to balancing secured assessments of learning with open assessments that support learning in AI-rich environments.
Academic Assurance and AI Detection
Review evidence and institutional guidance about assessment reform, AI-detection reliability, false-positive risks, and equitable academic integrity practices.
Institutional Guidance
Enacting Assessment Reform
Review program-level guidance from TEQSA for maintaining trustworthy judgments of student learning while responding to generative AI.
Institutional Perspective
Discontinuing Turnitin AI Detection
Read the University of Waterloo’s explanation of its decision to discontinue Turnitin’s AI-detection functionality following institutional testing and reliability concerns.
Research
AI Detectors and Diverse Student Populations
Examine research about structural limitations in AI-text detection and the potential for false-positive results across diverse student writing populations.
Investigative Reporting
Examining AI-Detection Tools
Explore an investigation into institutional use of AI-detection products, disputed academic-integrity cases, and concerns about reliability and equity.
Faculty Spotlight
Helping Calculus Students Use AI Productively
CU Denver faculty members Diana White and Pamela Whitten are exploring how an AI-supported tutoring platform can strengthen learning and student success in Calculus I.
Instead of giving students answers, the tutor asks questions and guides them through the reasoning process. The faculty team is examining course completion, exam performance, student experiences, and patterns of AI use to evaluate its impact.
Read the Faculty Story →