University of Phoenix Leaders to Present Generative AI Assessment Framework at National Higher Education Conference

University of Phoenix leaders will present a workshop on integrating generative AI in student assessments at the AALHE conference on May 28, 2025. Their framework supports authentic, theory-based AI use across assessment types.

Categorized in: AI News Education
Published on: May 24, 2025
University of Phoenix Leaders to Present Generative AI Assessment Framework at National Higher Education Conference

University of Phoenix Academic Leaders to Present at AALHE National Conference

Drs. Eric Page and Gretchen Meyers from University of Phoenix will lead a workshop on using generative AI in learning assessment at the Association for the Assessment of Learning in Higher Education (AALHE) national conference. The event takes place May 27-30, 2025, in Alexandria, Virginia. Their workshop, titled “A workshop on implementing the Theory to Practice Generative AI Assessment Framework to improve student learning assessment design,” is scheduled for May 28 at 2:30pm ET.

Introducing a Practical Framework for AI in Assessment

Alongside Dr. Eve Krahe Billings, Dean of Academic Innovation and Evaluation, Page and Meyers have developed a framework to integrate generative AI into course assessments. Their approach is grounded in established learning theory and designed to enhance both formative and summative assessments. This work was recently published in Intersection: A Journal at the Intersection of Assessment and Learning under the title “Theory to Practice: A Framework for Generative AI.”

“Faculty, instructional designers, and academic leaders can gain clear guidance on applying generative AI in assessment design,” Meyers explained. Their framework supports the integration of AI tools across Bloom’s Taxonomy levels and Knowledge Dimensions, ensuring assessments remain authentic and career-relevant.

Framework Development and Collaboration

The team’s framework reflects the University’s skills-mapped curriculum and incorporates thorough review from various stakeholders, including college deans, instructional designers, and faculty development experts. This collaboration helped ensure the framework promotes inventive, appropriate, and clearly differentiated uses of generative AI in assessment.

Profiles of the Presenters

  • Eric Page, Ed.D. serves as Senior Assessment Manager and Associate Faculty in the University’s Doctor of Education program. He brings extensive experience, having held roles such as Director of Retention and Assessment and Associate Program Director of General Education. Dr. Page’s previous work includes the 2024 publication of a theory-to-practice assessment framework in The Assessment Review. He holds an Ed.D. from Argosy University.
  • Gretchen Meyers, Ed.D. is the Director of Assessment at University of Phoenix. She manages the Rapid Assessment Process (RAP) and Comprehensive Assessment Process (CAP), which combine quantitative and qualitative faculty insights. Meyers also teaches in the College of Education and received the Faculty of the Year award in 2017. She holds advanced degrees in educational administration, curriculum, and literacy.

Implications for Educators

As generative AI becomes a growing presence in education, understanding how to design assessments that leverage its capabilities is essential. The framework presented by University of Phoenix leaders offers a practical, theory-informed approach to integrating AI tools while maintaining academic rigor and authenticity.

Educators interested in exploring AI’s role in assessment design may find value in similar resources and courses on generative AI for education and assessment available through platforms such as Complete AI Training.