AMI - Cognitive-Style Adaptive AI Tutor

1. Register

New learners create an account with a username and password to get started. After signing up, they are taken directly to the login screen.

2. Login

Returning learners sign in to pick up exactly where they left off — whether that is a learning session, a quiz, or a goal they are working toward.

3. Onboarding

During onboarding, learners choose a learning persona that reflects how they best absorb information, describe their learning goal, and optionally upload a résumé to help Ami understand their background.

4. Skill Gap Indentification

Ami refines the learner's goal into a clear target and surfaces the specific skills needed to get there, grounded in verified course materials and the learner's stated background.

5. Learning Path Personalization

Ami builds a personalized sequence of sessions tailored to each learner's cognitive style and current knowledge level. Sessions are unlocked progressively as mastery is demonstrated.

6. Learning Session and Content Delivery

Each session delivers lesson content, visuals, optional audio, and embedded quizzes in a format matched to the learner's preferred style — whether that means diagrams and worked examples or narrative explanations and structured outlines.

7.1. Quizzes

For beginners, quiz questions are calibrated for learners building foundational understanding. For higher levels, quiz questions are designed for those ready to apply and connect concepts across topics.

7.2. Response Assessment

Open-ended responses are evaluated by an AI grader aligned with the SOLO Taxonomy — a research-backed framework that measures how deeply a learner understands a topic.

8. Ami Chatbot Tutor

Ami is available throughout the learning experience as a conversational tutor. Learners can ask follow-up questions, request clarifications, or explore related topics — and Ami draws on the current session content, verified course materials, and the web to respond.

9. Dashboard

The home dashboard gives learners a clear view of their active goal, current progress, and the next recommended step in their learning journey.

11. Goal Management

Learners can create, switch between, and manage multiple learning goals — making it easy to pursue different topics or return to something set aside earlier.

12. Learning Analytics

The analytics dashboard surfaces progress, skill mastery, session time, and quiz performance — helping learners understand how they are advancing and where to focus next.

13. AI Transparency and Bias Audits

Disclaimers are embedded across the system whenever it uses AI-generated content are audited for inherent biases

14. Verified Course Content

Lessons can be grounded in actual course content, enhancing existing content. References are cited with page number so learners could check the actual source