GenAI Apps for Educators
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Overview
As generative AI continues to reshape the learning landscape, I created a series of lightweight, no-code apps using Amazon’s PartyRock platform. These tools are designed to empower learning professionals like educators, training professionals, and parents by offering AI-powered support for essential tasks like developing a training strategy or planning lessons and activities.
Each app demonstrates how generative AI can enhance everyday instructional workflows, from aligning learning objectives to receiving coaching on activity development.
The goal: make design and planning processes faster, smarter, and more learner-centered.
Apps Showcase
These tools were built to be practical, supportive, and easy to use no matter the user’s level of teaching or design experience.
Training Strategy Generator
Build a learner-centered training strategy in minutes.
What it does:
This app walks users through the key components of an effective training strategy—learning objectives, modalities, delivery methods, activities, assessments, and evaluation. Each recommendation is grounded in instructional design best practices.
Why it matters:
Whether you’re designing corporate training or an academic program, this tool provides clarity and structure while aligning learning solutions with organizational goals and learner needs.
Wonderly Kids
AI-powered lesson planning for educators and homeschooling parents.
What it does:
Wonderly Kids makes lesson planning simple and engaging. Users enter a topic, availability, and the child’s age, and the app generates developmentally appropriate objectives and hands-on activities grounded in educational theory.
Why it matters:
Many homeschooling parents and educators need quick, credible resources. Wonderly Kids offers creative, evidence-based support that sparks curiosity and builds essential skills.
Reflection
These apps represent an early exploration into using generative AI to support instructional design and learning. Through rapid prototyping, prompt refinement, and user-centered thinking, I was able to turn abstract use cases into functional tools that demonstrate real instructional impact. This project reaffirmed the potential of GenAI to not just automate, but meaningfully enhance the creative work of learning professionals.
Building these GenAI apps offered more than just a technical exercise, it was a meaningful opportunity for growth as an instructional designer.
By designing with AI, I had to think differently:
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Prompt writing became a design skill. I learned how to engineer effective prompts to guide the AI toward specific, accurate, and relevant outputs.
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Empathy stayed at the core. Even with AI, the heart of instructional design, understanding the learner, remained unchanged. The apps needed to be approachable, clear, and valuable for users at any level.
This project deepened my belief that generative AI isn’t here to replace instructional designers—it’s here to augment us. It frees us from repetitive tasks and gives us space to focus on what we do best: strategy, creativity, learner experience, and solving real problems through design.
For IDs willing to experiment, iterate, and stay grounded in sound pedagogy, GenAI opens the door to a more scalable, collaborative, and impactful future.
