Assessing creativity: using neural networks for analysis of graphical solutions in computer testing

The report explores the possibilities of using neural networks for creativity assessment. The use of both psychometric and machine learning methods allowed us to assess students' creativity skills (the sample is 1831 4-graders) through graphical solutions created in a computer environment. Also, based on a trained neural network model, the influence of instruction in creativity tasks on the results of creativity diagnostics is evaluated.