Intelligent Pedagogical Action Selection under Uncertainty

被引：0

作者：

Mohanarajah, Selvarajah ^{[1
]}

Kemp, Ray ^{[1
]}

Kemp, Elizabeth ^{[1
]}

机构：

[1] Massey Univ, Inst Informat Sci & Technol, Palmerston North, New Zealand

来源：

ARTIFICIAL INTELLIGENCE IN EDUCATION: SUPPORTING LEARNING THROUGH INTELLIGENT AND SOCIALLY INFORMED TECHNOLOGY | 2005年 / 125卷

关键词：

Learner Model; Uncertainty; PAS; ITS; CBL system;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes a novel design for a Learner Model, which handles the effects of uncertainty formally in Pedagogical Action Selection (PAS) [1]. In our design, a mixture of Dynamic Fuzzy and Bayesian approaches are used for the PAS strategy. We treat the strength of pedagogical actions as a fuzzy variable. We also use the fuzzy logic theory effectively in dynamic prediction.

引用

页码：881 / 883

页数：3

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