A Model for Gamified Learning Module Integrating Into the Sorting Algorithms Study

Abstract

The aim of the study is to develop and test a model for integrating a gamified learning module into the process of teaching sorting algorithms. The developed web application is aimed at high school students, undergraduate students (including those in humanities), and individuals learning programming independently. The theoretical framework is based on Galperin's theory of the stage-by-stage formation of mental actions. The novelty of the approach lies in the use of classical didactic theory in the development of a gamified resource and the application of artificial intelligence technologies for its implementation. The effectiveness of the model was evaluated in a pilot experiment involving 24 students, measuring the level of satisfaction with the learning process. Statistically significant differences in favor of the experimental group were revealed (U = 143.5, p < 0.001, r = 0.84). The obtained evidence suggests that the proposed model may contribute to increasing student satisfaction and engagement during the initial stage of learning algorithms in small groups.