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CZ/EN

Eduardis

AI-powered teacher of artistic skills.

About the project

We'll teach you the craft skills of drawing, painting, and sculpture.

The project connects creative artistic work with technical solutions based on artificial intelligence.

This innovative tool for distance learning in the arts evaluates artistic work step by step and provides feedback using computer vision and machine learning.

The tool being developed includes representative teaching modules that enable the evaluation of creative processes across different artistic techniques. Its modular architecture makes it easy to extend with additional lessons.

The web application is designed for use in introductory courses at art colleges, for training teachers at all levels of education, and for individual self-study.

Outputs

Annotation Tool

Web application for annotating and evaluating individual stages of creativity for selected assignments.

Launch

AI Teacher

Web app for art students – from a pilot version tested at the Faculty of Education, UHK, to the full-fledged AI teacher of artistic skills for distance teaching.

2026–2028

Public database

Database of annotated assignments with evaluation of individual stages of creativity.

December 2028

Research team

doc. MgA. Milan Salák
PdF UHK

Author and methodologist of the teaching concept for traditional visual arts disciplines, using a system of specifically interlinked tasks.

RNDr. Júlia Škovierová, Ph.D.
CIIRC ČVUT

Project manager, researcher, and expert in machine learning and computer vision.

prof. Ing. Václav Hlaváč, CSc.
CIIRC ČVUT

Researcher, computer vision expert, and consultant on the machine perception of individual steps in artistic creation.

Mgr. Karla Štěpánová, Ph.D.
CIIRC ČVUT

Researcher, specializing in the application of cognitive psychology in the process of aesthetic critique.

Mgr. Tomáš Staudek, Ph.D.
CIIRC ČVUT

Researcher, expert in exact aesthetics, UX & web designer, and frontend developer of the application.

Bc. Ihor Shabash
CIIRC ČVUT

Developer of computer vision methods, artificial intelligence, and the application's backend.

Mgr. art. Ivana Kaňovská, ArtD.
PdF UHK

Consultant on the aesthetic criteria of teaching lessons and tester of tasks in pedagogical practice.

PhDr. Kateřina Štěpánková, Ph.D.
PdF UHK

Teacher and researcher focusing on working with students of art programs for primary schools.

Mgr. et MgA. Pavel Trnka, Ph.D.
PdF UHK

Teacher and researcher focusing on drawing and painting tasks.

MgA. Tomáš Moravec, Ph.D.
PdF UHK

Teacher and researcher focusing on spatial and modeling tasks.

Rayan Ramadan
Institut Polytechnique de Paris

Student, internship with the team.

 

Want to help test the application? Get in touch.

eduardis@ciirc.cvut.cz

Partners

Faculty of Education, UHK

Principal investigator, providing expertise on the process of aesthetic creation and the possibilities of its structured and automated evaluation.

Czech Institute of Informatics, Robotics, and Cybernetics, CTU in Prague

Co-investigator responsible for the development, implementation, and testing of aesthetic critique algorithms using computer vision and machine learning.

Technology Agency of the Czech Republic

This project (TQ23000335) is co-financed with state support from the Technology Agency of the Czech Republic under the SIGMA Programme.

https://www.tacr.cz

Research useful for society.