Results of the research of algorithm creating capabilities using convolutional neural network

The current technological momentum indicates that demand will soon rise for programmingskills. For this reason, finding young individuals with these skills and orienting them towards programmingrelated career paths will be highly important. In our research, we developed an age and programmingknowledge independent system, which can help to identify talented youngsters. Before filling the test, wecollected information through an anonymous survey about the test subjects’ IT knowledge, which can helpidentify further correlations at the time of result evaluation. First we had to create a measurement systemwhich will provide objective test results about the children’s algorithmic thinking. We developed a webapplication that is responsive with a camera which follows the client eye moving and gather data into ourdatabase. This data is then passed into a machine learning algorithm to create a model and from it we couldread our conclusions. The main goal of machine learning using convolutional neural network is predictinghow the algorithmic thinking will develop in the case of children. We used a more game-like approachbecause it is more natural to children to think when they think they are playing some game. The game is asimple but effective LED lightning game and is very similar to a memory-based game.