What happened
Eric Curts announced a new professional development session on Control Alt Achieve covering AI prompts for student support and differentiation. The accompanying resources separate teacher-facing prompts from student-facing coaching prompts. Curts says they can be used as Gemini Gems or copied into other AI chatbots.
Why it matters
The collection distinguishes between preparing instructional materials and guiding learners through tasks. Teacher-facing examples include alternate assessments, guided notes, accommodation suggestions and IEP/504 SMART goals. Student-facing examples include project breakdowns, reading comprehension coaching and assignment feedback. For educators and learning designers, that distinction offers a way to choose a prompt by its intended role rather than treating every AI interaction as tutoring. The post describes intended capabilities, but does not report evaluated learning outcomes.
What to do next
Start with a bounded task, such as adapting guided notes or breaking down a project, and compare the output with the original material and instructional goals. Review alternate assessments for alignment with the intended assessment purpose. Treat accommodation suggestions and IEP/504 goals as drafts for professional review, not established recommendations. Before assigning a student-facing coach, inspect whether its responses guide the learner as described. Curts labels some prompts evidence-based, but the supplied post does not establish the evidence behind generated outputs.
About this briefing
Reviewed by TutorFlow Editorial. We link the primary source, preserve its publication date, and distinguish reported claims from TutorFlow analysis. Our commentary focuses on practical decisions for educators and training teams.
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