Search Algorithms Learning Based on Cognitive Visualization
Liudmyla I. Bilousova, Liudmyla Gryzun, Natalia V. Zhytienova, Valentyna V. Pikalova · 2019
Search algorithms are considered to be the classical Informatics prob- lems due to their great applied significance. Hence, these algorithms mastering is an integral component of the expertise of any Informatics teacher. Thus, it is important to find out efficient ways of the search algorithms learning, realiza- tion, and implementation in the process of the pre-service teachers’ vocational training. The aim of the paper is to offer the technique of the algorithms master- ing that is based on the leading ideas of cognitive visualization (CV) enhanced with the elements of choreography. The theoretical basis of the elaborated tech- nique includes CV concepts in their connection with the stages of learning and cognitive activity; ideas of bodily-kinesthetic intelligence as a factor of CV functions enhancing; choreographic ideas and their links with algorithms repre- sentation. The technique (which is given in the paper on the examples of linear and binary search algorithms in arrays) is represented as a set of connected tasks for students that determine direction of their collaborative activity. This detailed learning strategy, based on bodily-kinesthetic enhancing of CV func- tions, can be also successfully applied to the acquisition of key algorithms ar- rays processing. The peculiarities of the offered technique are analyzed. Such an approach to the algorithms learning is implemented for the pre-service In- formatics teachers’ training. It might cause a positive impact on the level of their knowledge and cognitive eagerness, which makes a prospect of our inves- tigations.