Ergonomic Optimization and Harmonization of Electronic Task Sets Based on an Idealized Sample

This article is devoted to harmonizing sets of electronic tasks offered for completing in the classroom and at a distance. The aim of the study is to develop a universal algorithm for selecting the “ideal”, that is, the most comfortable set, balanced in terms of colour scheme, number of illustrations, explanations and other characteristics. The methodology involves the active use of search algorithms. Currently, one has accumulated a great number of examples for many information disciplines, including online ones, varying in complexity, design, software implementation and the range of the acquired skills and abilities. The problem is in choosing the best of them, as well as in combining diverse electronic material into the most comfortable and harmonious set in terms of content and characteristics. The method allows taking into account students’ opinion, the actual number and speed of completing examples in practice; assess the impact of probable factors (colour, shape, help system, video and sound prompts, etc.) that directly or indirectly affect the ergonomics of electronic tasks. As a theoretical platform, the paper uses the aspects of the methods and experience of mass selections from V.A. Savitskaya’s creative heritage.