Learning Science Meets AI Education
Every feature in GPTutor.ai is grounded in cognitive science research. Here's how we build AI competency that lasts.
Adaptive Coaching
6 scaffolding levels that automatically adjust based on your demonstrated skill. Socratic questioning guides you to discover answers rather than just receiving them.
Direct Instruction
Step-by-step guidance for brand new concepts
Guided Practice
Worked examples with guided exploration
Scaffolded Tasks
Structured tasks with hints available on demand
Coached Application
Real-world tasks with coaching feedback
Independent Practice
Autonomous work with review checkpoints
Mastery Challenges
Complex scenarios that test deep competency
Spaced Practice
GPTutor.ai uses Half-Life Regression (HLR) to schedule review sessions at scientifically optimal intervals.
Instead of cramming, you practice each skill just before you would forget it. This maximizes retention while minimizing total study time.
How HLR Scheduling Works
Task-Based Learning
Four task types that progressively build deeper competency, from recall to creation.
Retrieval
Recall and recognize key concepts, tools, and patterns
Application
Apply learned skills to familiar scenarios and use cases
Transfer
Adapt skills to novel situations and unfamiliar contexts
Generation
Create new solutions, workflows, and approaches independently
Built for Every Role
Whether you're learning solo or rolling out AI training across an organization.
Individual Learners
Build personal AI competency at your own pace with adaptive progression
Team Leaders
Track team skill development and identify gaps across your organization
HR & L&D
Structured AI upskilling programs with measurable outcomes and ROI
Educators
Integrate AI competency into curriculum with proven learning science
Ex-Post Pricing Model
Pay only after completing a competency level. You see the value before you pay. During beta, the entire platform is free.
GPTutor.ai is an AGAILE Inc. project. Built with learning science for the AI era.