The student’s model is described by a mathematical formula. A student model is described, which contains the level of their knowledge, skills and abilities, the ability to learn, the ability to complete tasks (whether they know how to use the information received or not), personal characteristics (type, orientation) and other factors. The paper examines the composition of intelligent learning systems: student model, learning model and interface model. The training path consists of mandatory and additional modules for training additional modules can be skipped after successfully passing the test, without studying these modules. Based on the learning outcomes, the student is credited to the learning path.
The proposed flexible model for organizing blended and distance learning in higher education involves the creation of an individual learning path through testing students before the start of training. The main goal of this research is to improve the personification of learning in higher education.
0 kommentar(er)
