This article is cited in 5 papers

Computer Science, Engineering and Control

Survey of adaptive e-learning models

N. S. Silkina, L. B. Sokolinsky

South Ural State University (pr. Lenina 76, Chelyabinsk, 454080 Russia)

Abstract: The article provides an overview of adaptive e-learning models. For each model, the structure and the representation methods of educational content are described. An analysis of the strong and week features of the pre-sented e-learning models is discussed. The main lack is the absence of predefined didactic structure of the learning objects. This essentially restricts automatic checking the didactic completeness of the e-learning course. In the conclusion of the paper, we presented an outline of a new e-learning model, which includes the facilities of describ-ing the didactic structure of learning objects.

Keywords: e-learning, e-learning course, the model of e-learning, learning objects, didactic structure.

UDC: 004.4, 378.147

Received: 07.10.2016

DOI: 10.14529/cmse160405

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