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Decision support systems
Method of automatic constructing training exercises for electronic tutoring systems
O. A. Sychev, M. E. Denisov Volgograd State Technical University, Volgograd, Russia
Abstract:
The paper proposes a method of constructing training exercises by teacher requests, which balances the studies concepts and levels of task complexity. The method is based on ranking training tasks according to their relevance to the request, taking into account previous tasks in the exercise and alternating tasks and studies objectives in task a series. Using the task bank, the key characteristics of the generated tasks were identified. The experimental results showed that the method met the requirements; removing any part of the method led to a deterioration in the generated tasks. The proposed method significantly reduces the labor costs of teachers when using large banks of training tasks.
Keywords:
big data, generating training tasks, constructing exercises, method implementation options.
Citation:
O. A. Sychev, M. E. Denisov, “Method of automatic constructing training exercises for electronic tutoring systems”, Artificial Intelligence and Decision Making, 2024, no. 1, 38–51
Linking options:
https://www.mathnet.ru/eng/iipr4 https://www.mathnet.ru/eng/iipr/y2024/i1/p38
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