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This article is cited in 1 scientific paper (total in 1 paper)
Multi-agent systems
Development of adaptive teaching methods using intelligent agents
R. V. Dushkin Deecrypto Ltd., Artificial Intelligence Agency, Moscow, Russia
Abstract:
The paper describes the options for the use of intelligent agents as teacher assistants in the organization of adaptive learning processes in online messengers. This allows to reduce the burden on the teacher in a dramatic way when communicating with students and answering typical and sometimes very unusual questions from course participants. A brief description of the educational process model, including the student model, is provided. It also describes the generalized architecture of an intelligent agent along with a brief presentation of the subprocess of its interaction with various actors in the framework of the educational process. The conclusion provides a brief statistical summary of the training conducted using the described technology, as well as a list of next steps to improve the technology presented in the paper.
Keywords:
adaptive learning, education intellectual system, intellectual agent, cognitive technology, natural language processing.
Citation:
R. V. Dushkin, “Development of adaptive teaching methods using intelligent agents”, Artificial Intelligence and Decision Making, 2019, no. 1, 87–96
Linking options:
https://www.mathnet.ru/eng/iipr164 https://www.mathnet.ru/eng/iipr/y2019/i1/p87
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