Faculty and Staff AI Resource Repository

Assessment Strategies with AI

Effective methods for evaluating learning in an AI-enhanced classroom.

Documentation and Portfolio Assessment

Process

Documentation

Portfolio

Key Components:

AI interaction logs
Process documentation
Reflection statements
Multiple drafts/iterations
Strategy explanations

Documentation Quality

Completeness
Clarity
Organization
Reflection depth

Process Development

Strategy evolution
Tool utilization
Problem-solving approach
Iteration quality

Real-Time Demonstration

Assessment Type	Implementation	Evaluation Criteria
Live Problem-Solving	Students demonstrate AI tool use in real-time	Tool proficiency, strategy selection, critical thinking
Oral Defense	Students explain their process and decisions	Understanding, reasoning, reflection
Interactive Sessions	Group discussions and demonstrations	Collaboration, communication, peer learning

Combining Traditional and AI-Enhanced Assessment

In-Class Components

Written examinations
Presentations
Group projects
Class discussions

AI-Enhanced Components

Tool-assisted research
AI-supported analysis
Collaborative AI projects
Digital portfolios

Writing Assessment

Process documentation requirements
Multiple draft submissions
AI usage logs
Revision explanations

Mathematics Assessment

Solution process documentation
Multiple approach demonstrations
Verification steps
Problem-solving explanations

Research Assessment

Source evaluation documentation
Analysis process tracking
Synthesis demonstrations
Research methodology explanations

Assessment Design Principles

Focus on process over product
Require demonstration of understanding
Include multiple assessment types
Maintain clear documentation requirements
Incorporate reflection components