A Student’s E-Learning Self-Control Method Based On A Topological Knowledge Tree

Improving the quality of self-educational activity of trainees using e-learning is currently extremely topical. The performance of independent work of the student is largely dependent on consistency, continuity, and perfection of educational-cognitive activity. High motivation and self-organization of this activity largely depends on self-government and self-control of the learner. In this context, the aim of this work was to develop and justify a method of student self-control by creating an "upside-down" information resources, which visualizes the process of learning and takes into account the characteristics of Z generation. The basis of the proposed method is a topological question- task knowledge tree of the subject area with regulatory tasks or tests. For each question there is a response in the form of concept maps with the necessary educational review, and for the task – an explanation of its decision. With the positive outcome the corresponding elements of the knowledge tree are painted with a certain colour that visually defines the amount and the dynamics of the subject area material studied. The proposed method of the visualized self-learning process will significantly improve the effectiveness of self-educational activity of the student, question- task format of the inverted electronic resources will provide motivation for learning effectiveness.