A COMPREHENSIVE MODEL LEADING TO TRULY PERSONALISED E-LEARNING

A move from static e-learning courses to the creation of courses or paths that are adapted to the needs of students has been the focus of experts for many years. However, a personalized student e-learning study plan cannot be developed as a single process. Such an activity, in fact, requires a series of subprocesses, which logically follow one another. It concerns the creation of a student model, involving steps such as the identification of what the student knows as well as their study preferences and the identification of their study objectives. This paper deals with a proposal of such a model of creating a personalised study plan for students who study in an e-learning form of studies. In order to create a truly personalised study plan, the authors have proposed such processes that ensure A-Z steps. The research follows up our previous research in this field, but this paper brings in a new perspective, primarily from the point of view of the structure and roles of individual processes. In general, the proposed model is based on a process of gathering information about the student (M0), process of analysing such gather information (M1A and M1B), process of selecting relevant objectives (M2), and a process of creating a study plan itself (M3). The whole procedure uses expert knowledge. This expert knowledge is either in a form of a fuzzy logic expert system or in a form of adaptive algorithms to adapt the study plan according to the input information as well as results during the study process. The proposed model is also presented in a detailed graphical form (flowchart). Finally, verification of the proposed model is presented.