Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: AASRI Conference on Computational Intelligence and Bioinformatics (CIB); SOUTH KOREA; SOUTH KOREA

Год издания: 2014

Идентификатор DOI: 10.1016/j.aasri.2014.05.010

Ключевые слова: Intelligent Automated Educational System; individualization; Cognitive Maps of Knowledge Diagnosis; decision making

Аннотация: To solve a problem of individualization in learning based on Intelligent Automated Educational Systems (IAES) involves to devise special methods of decision-making. In this article we propose to implement a complete individualization in learning (assessment, individual learning path management, adaptation of the curriculum and test sampling, the synthesis of man-machine dialog) by means of afference process simulation. It is considered the problem of searching for a compromise of goals between the models of a student, a teacher and a tutor within the base of the current learning environment. To this effect it is proposed a four-stage IAES-based decision-making scheme and synthesis mechanism of Cognitive Maps of Knowledge Diagnostic (CMKD). The problems of CMKD synthesis and visualization is considered. In conclusion, the results of approbation the proposed technologies in learning are provided. (C) 2014 The Authors. Published by Elsevier B. V.

Журнал: 2ND AASRI CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS

Выпуск журнала: Vol. 6

Номера страниц: 66-72

ISSN журнала: 22126716

Место издания: AMSTERDAM

Издатель: ELSEVIER SCIENCE BV

• Uglev Victor (KRASNOYARSK STATE UNIV)

• Web of Science Core Collection