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This article is cited in 4 scientific papers (total in 4 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.
Received: 07.10.2016
Citation:
N. S. Silkina, L. B. Sokolinsky, “Survey of adaptive e-learning models”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 5:4 (2016), 61–76
Linking options:
https://www.mathnet.ru/eng/vyurv152 https://www.mathnet.ru/eng/vyurv/v5/i4/p61
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Abstract page: | 313 | Full-text PDF : | 225 | References: | 43 |
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