Knowledge-Based Systems: A Tool for Distance Education

被引：0

作者：

Salcedo L, Pedro ^{[1
]}

Angelica Pinninghoff J, M. ^{[2
]}

Contreras A, Ricardo ^{[2
]}

机构：

[1] Univ Concepcion, Fac Educ, Concepcion, Chile

[2] Univ Concepcion, Fac Engn, Concepcion, Chile

来源：

METHODS AND MODELS IN ARTIFICIAL AND NATURAL COMPUTATION, PT I: A HOMAGE TO PROFESSOR MIRA'S SCIENTIFIC LEGACY | 2009年 / 5601卷

关键词：

Prediction; Academic Performance; Neural Networks;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work describes how, starting from the PhD thesis A Knowledge-Based System for Distance Education, under the supervision of Professor Jose Mira Mira, different ideas have evolved opening new research directions. This thesis has emphasized the usefulness of artificial intelligence (AI) techniques in developing systems to support distance education. In particular, the work concerning the modelling of tasks and methods at knowledge level, and in the use of hybrid procedures (symbolic and connectionist) to solve those tasks that recurrently appear when designing systems to support teaching-learning processes.

引用

页码：87 / +

页数：3