Information Literacy & Artificial Intelligence
The Archaeological Dig Model for AI-Integrated Research
AI-Integrated Research & Information Literacy
Polk Library extends its leadership in information literacy to address the evolving realities of AI-integrated research and knowledge creation. As artificial intelligence becomes embedded in scholarly tools and workflows, the library provides guidance that helps faculty and students use these technologies responsibly, critically, and effectively.
The Archaeological Dig Model for AI-Integrated Research frames research as a process of discovery, verification, and synthesis, helping learners understand where AI can support inquiry while maintaining scholarly judgment. This model will be used throughout to help organize resources and workflows. This initiative brings together instructional resources, teaching tools, and research guidance to support thoughtful AI use across disciplines.
Initiative Resources
FOR FACULTY
Canvas Modules for AI-Integrated Research Instruction
- Foundations I–III (Ready-to-use Canvas modules for research skills and responsible AI)
- How to adopt / import (quick start)
Discipline-Specific Implementations
These examples show how the AI-integrated research model can be adapted across disciplines. Each includes a supporting guide and in the future may connect to a ready-to-import discipline specific Canvas module.
Biology
Models topic exploration, scientific question development, experimental evidence, and database strategy for science-based assignments.
More disciplines coming
Additional implementations will be added as guides and modules are developed.
FOR STUDENTS
Guidance & Tools
POLICY & BEST PRACTICES
Student Use of AI in the Research Process
FOR FACULTY
AI in Scholarly Research Framework
SCHOLARSHIP & EVIDENCE
Research-Informed Practice
- Literature synthesis (creativity, critical thinking, and student voice)
- Scoping review (in progress)
