Abstract
Adaptive course development is a complicated task. Application of the traditional approaches leads to the increase of laboriousness during the development and evaluation of the course. This paper presents an approach based on automata model that helps to develop adaptive courses and provide a high quality assessment of the related knowledge and skills. The presented model uses smart analysis in order to build a proper course scheme.
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This paper is supported by Government of Russian Federation (grant 074-U01).
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Lyamin, A.V., Cherepovskaya, E.N. (2018). An Automata Model for an Adaptive Course Development. In: Uskov, V., Howlett, R., Jain, L. (eds) Smart Education and e-Learning 2017. SEEL 2017. Smart Innovation, Systems and Technologies, vol 75. Springer, Cham. https://doi.org/10.1007/978-3-319-59451-4_10
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DOI: https://doi.org/10.1007/978-3-319-59451-4_10
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