Project Overview
This project is an AI-supported lesson planning platform designed to help teachers create lesson plans more efficiently while maintaining control over instructional decisions. The platform combines a customizable lesson generator with a research-informed evaluator so teachers can create a first draft, review its instructional quality, and make their own final judgments.
Help Teachers Create Lesson Plans
The generator reduces the time required to build a first draft while allowing teachers to adjust the lesson to fit their instructional context.
Improve AI Literacy
The evaluator encourages teachers to review AI judgments critically instead of accepting AI-generated recommendations without reflection.
Problem Statement & Context
Generative AI can quickly produce lesson plans, but the first output may not reflect the needs of a specific classroom, curriculum, or group of learners. Teachers also need ways to understand and question AI-generated evaluations rather than treating them as final decisions.
Design Challenge
How can an AI-supported platform improve lesson-planning efficiency while keeping teachers actively involved in evaluating, adjusting, and approving instructional decisions?
Research-Informed Lesson Evaluation
The evaluator uses a rubric developed by faculty and grounded in instructional design research. It reviews major elements of lesson quality, including the clarity of the lesson focus, alignment among objectives, standards, activities, and assessment, support for diverse learners, pacing, resources, and opportunities for reflection.
The detailed scoring language is intentionally not displayed in this portfolio. Instead, this page focuses on how the rubric supports the product experience and teacher decision-making.
Teacher Agency Through Evaluation Override
AI evaluation is used as a starting point rather than a final judgment. Teachers can review the AI rating, compare it with their own professional judgment, override the evaluation, and document additional context. This interaction is designed to support AI literacy by making evaluation transparent, editable, and open to disagreement.
Review the AI Evaluation
The teacher sees an AI-generated rating and a short explanation of the reasoning behind it.
Apply Professional Judgment
The teacher can choose a different rating when the AI does not reflect the lesson context or instructional intention.
Add Context and Improve the Lesson
Teacher notes capture contextual information that the AI may not understand and can guide later revisions.
Customizable Lesson Generation
Before generating a lesson, teachers can select lesson-plan preferences that reflect their classroom needs. These options allow the generated first draft to better match the teacher's intended instructional approach instead of producing a generic lesson.
Select Lesson Preferences
Teachers choose options such as technology usage, instructional approach, teaching strategy, and other advanced lesson settings.
Generate a Contextualized First Draft
The system uses the selected preferences to generate a lesson plan that better reflects the teacher's goals.
Evaluate and Revise
The teacher can evaluate the generated lesson, revise the content, and make the final instructional decision.
My Contribution
I contributed to the learning design, product design, AI prompting, frontend development, and iterative refinement of the platform. I also collaborated with faculty, science teachers, and ESL teachers to identify different lesson-planning needs and translate them into flexible product features.
Design Principle
Research provides the foundation for the design, while continuous communication with educators helps the product respond to real instructional contexts.
Explore the Product
The live platform allows users to explore the lesson generator, advanced preference settings, lesson evaluation workflow, and teacher override features.
The portfolio describes the purpose and structure of the faculty-developed rubric without reproducing its full scoring criteria.