Modeling of the System for Computational Thinking Automatic Assessment

Abstract

The aim of the doctoral thesis is to model an automated computational thinking (CT) assessment system based on solving processes of the interactive tasks. Currently, a literature review and analysis has been carried out, which has shown that among current CT assessment tools most popular ones still remain different types of tests. A study, comparing the two computational thinking assessment tests has been conducted and it has been observed that using only the tests causes data loss as tests do not collect information on the solution processes. An experiment was carried out to collect and analyze action information while solving the task and using this data to extract the possible different solution methods of an interactive task.