Prompting for Rigor, Voice, and Evidence

This second course is for the educator who has mastered the basics and is ready to tackle the “quality gap.” It focuses on the three biggest hurdles in AI implementation: cognitive demand, academic integrity, and authentic student voice.

Stop Summarizing. Start Analyzing.

The biggest risk with AI isn’t just “cheating” — it’s the “thinning” of student thought. If your AI prompts only yield surface-level summaries, your students aren’t being challenged. This course is a deep dive into Prompt Engineering for Rigor, teaching you how to build “Evidence-First” tasks that protect student voice while demanding high-level analysis.

The Mastery Pillars:

Pulling the Rigor Levers: Learn to identify “low-floor” prompts and rewrite them into high-order tasks that require inference, evaluation, and strict constraints.

Text Evidence Engineering: Master the CER (Claim, Evidence, Reasoning) prompt pattern to ensure AI-generated scaffolds require specific quotes and paraphrasing.

The “Voice-Safe” Workflow: Implement Socratic prompting techniques (“Ask me 5 questions before we draft”) that stop AI from ghostwriting and start AI as a revision coach.

Rubric-Mapped Outputs: Align AI responses to your specific grading rows, creating perfect “Goldilocks” exemplars (High, Mid, Low) for student modeling.

Course Roadmap

The Competitive Edge

This course moves beyond “prompting for content” and starts prompting for pedagogy. You will walk away with a “Rigor Pack” containing 10 high-stakes prompts, a voice-safe strategy card, and a precision checklist to ensure every AI interaction results in measurable student growth.

“Don’t just use AI to work faster. Use it to make your students think harder.”