
Figure 77.1 Structured rubrics improve AI-related assessment.
CLUSTER 77 — LANDING PAGE
Teaching Assessment of AI-Assisted Communication Skills
Introduction
AI-assisted communication requires new assessment approaches. Traditional writing rubrics may not capture judgment, ethics, or AI use quality.
This cluster helps instructors assess AI-assisted work fairly and consistently.
Instructional Focus
Students are evaluated on judgment, alignment, accuracy, and responsible AI use—not just fluency.

Figure 77.2 Effective assessment reflects decision quality.
To reinforce this focus, the next two visuals work together rather than standing alone. The first establishes what effective assessment must consider when AI is part of the communication process.
The second translates that framework into a practical, usable evaluation tool instructors can apply consistently. Viewed in sequence, they move assessment from principle to practice.

Figure 77.3 Assessment reinforces responsible AI use.
Key Takeaway
Assessment must evolve with AI-assisted communication.
Instructor FAQs
(Collapsible / Accordion Block)
Why can’t traditional rubrics fully assess AI-assisted work?
Because they often ignore judgment, ethics, and AI decision-making.
How can instructors adapt rubrics effectively?
Add criteria for AI use, revision quality, and accountability.
They often fail to capture judgment, ethics, and responsible AI use.
By adding criteria for AI use, revision quality, and accountability.