Application of Ontological Approach for Learning Paths Formation

被引：1
|
作者：
Lebedev, Boris K. [1 ]
Lebedev, Oleg B. [1 ]
Kudryakova, Tatiana Y. [1 ]
机构：
[1] Southern Fed Univ, Rostov Na Donu, Russia
来源：
ARTIFICIAL INTELLIGENCE TRENDS IN INTELLIGENT SYSTEMS, CSOC2017, VOL 1 | 2017年 / 573卷
基金：
俄罗斯科学基金会;
关键词：
Educational environment; Ontology; Model; Learning path; Optimization; Swarm intelligence; Ant colony;
D O I：
10.1007/978-3-319-57261-1_11
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Provided algorithm allows to generate variants of learning paths that include subsets of small modules of educational material. Learning paths optimization method based on the ontological approach is considered. To form the optimal learning path algorithm is proposed. an algorithm Ant colony behavior is used as a model. The distinctive feature is a graphical representation of the learning path suitable for analysis of obtained results.
引用
收藏
页码：105 / 114
页数：10
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