Specialized Coverage

Figure 17.1 Fair assessment of AI-assisted work focuses on judgment and responsibility.

Instructor assessing AI-assisted student communication using judgment-based criteria.

CLUSTER 17 — LANDING PAGE

Assessing AI-Supported Communication Fairly

Introduction

As AI use becomes common, instructors need clear strategies for fair assessment. This cluster examines how textbooks guide instructors in evaluating AI-supported communication without penalizing responsible use.

Principles of Fair Assessment

Effective assessment:

• Evaluates decision-making and revision
• Rewards verification and ethical disclosure
• Clarifies expectations for students

Figure 17.2 Assessment should reward thinking, not tool use.

Figure 17.3 Fair grading focuses on accountability rather than prohibition.

Key Takeaway

Fair assessment focuses on how students think, not which tools they use.