Build Personalized Learning Plans with AI

Create a structured PLP with a student profile, SMART objectives, differentiated strategies, resources, monitoring, stakeholder roles, and review dates. This mini-course is built around the Personalized Learning Plan (PLP) Assistant, a guided AI assistant that asks focused questions one at a time before creating a flexible seven-part personalized learning plan with measurable objectives, targeted strategies, resources, monitoring tools, engagement roles, and schedule.

You will learn how to prepare a de-identified learner profile, strengths, needs, baseline evidence, goals, available supports, stakeholders, and implementation timeframe. The course shows you how to respond to the assistant’s guided workflow, keep the conversation focused, and shape the output around your real educational context.

By the end, you will be able to use ChatGPT to produce a flexible seven-part personalized learning plan with measurable objectives, targeted strategies, resources, monitoring tools, engagement roles, and schedule, then evaluate it for individual relevance, SMART goals, practical supports, continuous monitoring, stakeholder participation, flexibility, and educational compliance. You will leave with a repeatable process that can be adapted to future tasks while keeping professional judgment in the loop.