Alternative Title
Artificial Intelligence (AI)-Powered Curriculum Mapping: Streamlining Assessment Alignment from Assignments to Accreditation
Contributor
University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2025 : Orlando, Fla.)
Location
Seminole B
Start Date
29-5-2025 2:45 PM
End Date
29-5-2025 3:10 PM
Publisher
University of Central Florida Libraries
Keywords:
Curriculum mapping; Assessment alignment; Accreditation reporting; AI tools; Educational outcomes
Subjects
Artificial intelligence--Educational applications; Curriculum planning--Computer programs; Accreditation (Education)--Evaluation; Computer-assisted instruction--Curricula; Education, Higher--Automation
Description
Discover how AI tools can transform the complex process of curriculum mapping from individual assignments to program-level accreditation requirements. This session demonstrates how ChatGPT and Claude.ai can analyze assignment-to-outcome alignment, identify assessment gaps, and generate comprehensive documentation for accreditation reporting. Learn practical strategies for using AI to create clear throughlines from classroom activities to institutional outcomes, while ensuring robust assessment practices that satisfy accrediting bodies.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty; Administrators
Recommended Citation
Neal, Dr. Laura Kathryn, "AI-Powered Curriculum Mapping: Streamlining Assessment Alignment from Assignments to Accreditation" (2025). Teaching and Learning with AI Conference Presentations. 76.
https://stars.library.ucf.edu/teachwithai/2025/thursday/76
AI-Powered Curriculum Mapping: Streamlining Assessment Alignment from Assignments to Accreditation
Seminole B
Discover how AI tools can transform the complex process of curriculum mapping from individual assignments to program-level accreditation requirements. This session demonstrates how ChatGPT and Claude.ai can analyze assignment-to-outcome alignment, identify assessment gaps, and generate comprehensive documentation for accreditation reporting. Learn practical strategies for using AI to create clear throughlines from classroom activities to institutional outcomes, while ensuring robust assessment practices that satisfy accrediting bodies.