intelligent-tutoring-dialogue-designer

What problem does it solve?

Scripted tutoring dialogues that maximize student engagement by eliciting reasoning, surfacing misconceptions, and guiding cognitive conflict, enabling AI tutors and chatbots to support one-to-one learning at scale.

Core Features & Use Cases

• Phase-based dialogue architecture with explicit decision points and branching logic that adapts to student responses.
• Library of dialogue moves (questions, pumps, prompts, hints, explanations, and deliberate silence) with rules for when to use each.
• Evidence-informed design principles (elicit before explain, minimize assistance, mixed-initiative dialogue, cognitive conflict) for scalable tutoring across STEM and humanities.
• Use Cases: building AI tutor flows for physics problems, essay analysis practice, or language-learning dialogue practice.

Quick Start

Provide a complete tutoring dialogue blueprint including phase structure, move library, decision rules, and an example dialogue for a given learning objective.