ISSN 2688-7207
Vol. 7, Issue 3, 2026June 02, 2026 CDT
Exploring Generative AI to Enhance Data Artifact Use in Accreditation
Exploring Generative AI to Enhance Data Artifact Use in Accreditation
Articles in Vol. 7, Issue 3, 2026
Vol. 7, Issue 3, 2026
- Editor's NoteJay Kahl
- Framework for Use of Multiple-Choice QuestionsBryant HutsonRené SchmauderKimberly DaughtertyDina EagleKelly McCarthySarah McCauleyJessica N. Taylor
- Measuring Foundational Inquiry Skills in First-Year College Composition CoursesJoshua R. M. ParsonsJannell C. McConnell ParsonsKathryn KohlsShannon SampsonJim Ridolfo
- Corequisite Learning in College Level Composition CoursesSusan R. WaddingtonAllyson RichmondCharlotte Kent
- Faculty and Student Perceptions of Generative AI Use, ChatGPT and Academic Integrity: Connecting Findings to Assessment RedesignHan Nee ChongEugene Guillian
- From Compliance to Collaboration: Building a Holistic and Data-Informed Culture of Assessment for Learning ImprovementMamta SaxenaAsim JavedJoe ReillyShannon Alpert
- A Different Take on Data: Assessment as a Service-Learning FocusAmber FalluccaHannah Sairam
- Exploring Generative AI to Enhance Data Artifact Use in AccreditationChristopher R DrueMichele Moser Deegan
- Advancing Equity Through Assessment: Lessons From a Faculty Learning CommunityLisa G. AdamsChristine AlvaradoErin L. EspaldonHailey L. CaraballoTyler RogersYu YanCarolyn L. SandovalShannon Milligan
- Validity Architecture for AI Integrated Assessment (VAAI): A Conceptual Framework for Defensible Assessment PracticeJohanathan WoodworthMohamed KharbachChristine Doe
Drue, C. R., & Moser Deegan, M. (2026). Exploring Generative AI to Enhance Data Artifact Use in Accreditation. Intersection: A Journal at the Intersection of Assessment and Learning, 7(3), 116–138. https://doi.org/10.61669/001c.162788