# MyEssayFeedback.ai

> AI-powered formative essay feedback platform for higher education. Instructors create assignments with customizable AI feedback types from an OER library of 200+ prompts. Students submit essays and receive instant, personalized writing feedback during revision. Includes student reflection workflows, instructor dashboards, AI-powered class summaries, and LMS integration. Founded by Eric Kean at Western Washington University. Free pilot for instructors, $15/student/term max. FERPA compliant.

## Main Pages

- [Home](https://myessayfeedback.ai/): Platform overview, features, and getting started.
- [About Us](https://myessayfeedback.ai/about-us): Team bios for founder Eric Kean (Western Washington University, ADAPT developer) and advisor Anna Mills (College of Marin, OpenAI consultant, author of How Arguments Work).
- [Quick Overview](https://myessayfeedback.ai/quick-overview): Visual walkthrough of the platform: assignment creation, LMS linking, feedback types, student interface, AI feedback, reflections, instructor dashboard, and class summaries.
- [OER Types of Feedback Library](https://myessayfeedback.ai/oer/types-of-feedback-library): Open educational resource library with 200+ customizable AI feedback prompts. Instructors can share, adapt, bookmark, and create their own feedback types.
- [For Individual Students](https://myessayfeedback.ai/individual-student-learn-more): How MyEssayFeedback works for students without a course or instructor. Covers pricing ($1.29 per review, first review free), discount system (up to 10% off for follow-up questions and human feedback), and the research-backed approach to building real writing skills.

## For Instructors

- [General Guidelines](https://myessayfeedback.ai/general-guidelines): Guidelines for interpreting AI-generated writing feedback. Covers context, patterns, using AI as a starting point, incorporating human feedback, and avoiding over-reliance.
- [Reflecting on AI Feedback](https://myessayfeedback.ai/reflecting-on-ai-feedback): Template phrases by Anna Mills for students to critically reflect on AI feedback. Covers clarity, meaning, purpose, new ideas, and next steps for revision. CC BY 4.0 license.

## Critical AI Literacy (OER Course Materials)

- [Writing and Artificial Intelligence](https://myessayfeedback.ai/critical-ai-literacy/writing-and-artificial-intelligence): Introduction to AI literacy for college students. How generative AI intersects with writing instruction. Adapted from Write What Matters by Liza Long, Amy Minervini, and Joel Gladd.
- [How Large Language Models Work](https://myessayfeedback.ai/critical-ai-literacy/how-large-language-models-work): How LLMs like ChatGPT work. Covers tokenization, embedding, NLP, RLHF alignment, Constitutional AI, bias, censorship, hallucinations, and the importance of writer's voice. By Joe Gladd.
- [Getting Started with AI Platforms](https://myessayfeedback.ai/critical-ai-literacy/getting-started-with-ai-platforms): Guide to AI platforms: ChatGPT, Bing Chat, Google Bard, Claude, Poe, Quillbot, Grammarly, Microsoft Copilot, Google Docs AI, Notion AI, Elicit, Consensus, Perplexity. By Joe Gladd.
- [How to Prompt AI Chatbots](https://myessayfeedback.ai/critical-ai-literacy/how-to-prompt-ai-chatbots): Prompt engineering basics: inputs, outputs, context, roles, constraints, chain-of-thought, multi-step prompts, and using AI for essay feedback. By Joe Gladd.
- [Citing Generative AI in Academic Work](https://myessayfeedback.ai/critical-ai-literacy/citing-generative-ai-in-academic-work): How to acknowledge and cite AI tools. APA and MLA citation formats. Acknowledgment statement templates. 5-step checklist. By Liza Long.
- [Ethical Concerns with Generative AI](https://myessayfeedback.ai/critical-ai-literacy/ethical-concerns-with-generative-ai-tools): Ethical issues: misinformation, bias, privacy, accountability, consent, job displacement, environmental impact (8-21% of world energy by 2030), mental health, and reduction of human skills. By Liza Long.

## Legal

- [Privacy Policy](https://myessayfeedback.ai/privacy): FERPA compliant. Student data encrypted in database and in transit. Essays processed via Microsoft Azure OpenAI Service (no training on user data). Hosted on AWS. No third-party sharing.
- [Terms and Conditions](https://myessayfeedback.ai/terms-and-conditions): Student terms covering FERPA compliance, consent to disclosure, data protection, and authorized access.
- [Accessibility](https://myessayfeedback.ai/accessibility): 53 of 55 accessibility issues resolved. ACR report available for download.

## Pricing

- Free pilot for new instructors
- No more than $15 per student per term
- Discounts for departmental or institution-wide licenses
- LMS integration included