Project Overview
CLOVA Tutor is a demo project exploring how to design educational conversational AI tutors for K-12 learning environments in Korea, based on NAVER Cloud's HCX-005 model.
This project focuses on how to design the structure of learning conversations that flow from problem-solving, concept explanation, follow-up questions, to review within a single chat interface.
This project shares design perspectives on how to structure conversation-centered learning experiences, rather than focusing on learning outcomes themselves.
Who is CLOVA Tutor For?
CLOVA Tutor is a design reference for the following people.
Developers designing educational AI tutors
Those who want to reference model structure and conversation flow
Learning service planners / PMs
Those thinking about LLM-based learning conversation structures
LLM system design teams
Teams wanting to reference ReAct · Tool-based structures in real service contexts
Portfolio · Research purpose users
Those looking for educational AI system design cases
Design Principles
CLOVA Tutor is designed to be a conversational learning partner that helps learners continue their own thinking process.
We introduce the key criteria for conversation-based learning UX and AI tutor design chosen in this project.
Connected Learning Flow
A structure where problem-solving continues seamlessly into the next learning through conversation
Conversation-Centered Learning Experience
A tutor that maintains context from previous questions and solutions while continuing the learning conversation
Supportive AI Design Philosophy
A tutor that doesn't make all decisions for the learner, but adjusts its intervention to allow learners to continue their own thinking