Models and methods of adaptive control of learning with the use of aggregative training modules

Abstract

The article considers models and methods of adaptive management of learning, which are based on the approach of processing a structured and decomposed learning content presented in the form of a systemic set of objects educational-methodical information. Method of Assembly of learning content aggregative training modules of the objects of the teaching information stored in the database of e-learning system is based on the use of the learner model represented in a vector form, which allows to implement an adaptive management and exchange of data about students with other systems in the format specification IMS LIPS standard. Method of Assembly of learning content aggregative training modules implemented on the basis of the model of generalized training scenario, presented in the form of a multiply connected graph, forming a Markov chain. A model of adaptive learning management uses the parameters of learner model and a set of templates and rules for processing the learning content in e-learning system to determine the structure and composition of the aggregate training module containing training content and procedures of training management. The principle of optimization of process of e-learning.