Developing typical profiles of generation Z students to improve the quality of the educational process

Abstract

Global digital platforms that influence the development of local digital platforms (from national-level platforms to the platform of a particular enterprise), in order to be more effective, must take into account the informational requirements of users, including those determined by their emotional and psychological characteristics. For this purpose, their developers need to know the typical emotional and psychological profiles of users.The construction of typical emotional and psychological profiles of Generation Z learners is necessary for correct and efficient operation of information and educational platforms, in particular, adaptive e-learning environments, which, among other things, implement gamification approaches.To identify the above-mentioned profiles of Generation Z learners, we use R. Cattell’s multifactor testing methodology (form C) and subsequent processing of the obtained results using statistical methods (in the form of cluster analysis). To ensure the representativeness of the results, the study involved 994 students from various universities (the survey results were used in an impersonal form).The analysis of clustering results makes it possible to identify the share of students who are able to independently form new knowledge and obtain original results of intellectual activity, to determine the share of students with a pragmatic attitude to life, as well as those who possess the qualities of business leadership, etc.Based on these results, recommendations for improving the quality of the educational process as a special case of adaptive e-learning environment are formulated.