Information Literacy & Artificial Intelligence
The Archaeological Dig Model for AI-Integrated Research
AI-Integrated Research: Tools & Guidance
Support for using AI responsibly across the research process
Polk Library supports faculty and students in navigating the evolving landscape of AI-integrated research and knowledge creation.
As artificial intelligence becomes embedded in scholarly tools and workflows, this hub brings together resources to support responsible, effective use. It builds on broader AI literacy frameworks that emphasize ethical and practical understanding.
Resources are organized using the Archaeological Dig Model for AI-Integrated Research, which frames research as a process of discovery, verification, and synthesis. This structure helps users identify where different tools and strategies fit within the research process and supports informed decision-making about AI use, evidence, and authority at each stage. This hub includes research tools, instructional materials, and guidance to support thoughtful AI use across disciplines.
How this guide relates to AI literacy: Broader AI literacy frameworks (e.g., Lo, 2025) describe what students should understand about artificial intelligence, including ethical, critical, and practical dimensions. This guide focuses on how those competencies are applied within the research process—supporting informed decisions at each stage of discovery, verification, and synthesis.
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.
Writing
Models topic exploration, keyword and question development, and database strategy for writing based research 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)