THE ADAPT LMS: INTERACTIVE E-LEARNING WITH FUZZY LOGIC AND CBR

被引：0

作者：

Pratas, Eduardo ^{[1
]}

Gomes, Anabela ^{[1
]}

Marques, Viriato ^{[1
]}

机构：

[1] Univ Coimbra, Ctr Informat & Syst, Polytech Inst Coimbra, Engn Inst, P-3000 Coimbra, Portugal

来源：

EDULEARN14: 6TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES | 2014年

关键词：

Intelligent Tutoring Systems; Learning Management Systems; Learning Styles; Fuzzy Systems; Case-based Reasoning; e-Learning;

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

This paper describes a platform for distance education that can adapt course contents to the learning preferences of each student. Some of the key issues for the design and implementation of e-learning adaptive systems and in particular their application to the ADAPT platform, are presented. The existing learning management systems (LMS) lack interactivity and pedagogy, leading to learning models that depend largely on student motivation. Artificial Intelligence techniques such as Case-Based Reasoning (CBR), and Fuzzy Systems (FS) are used to overcome these problems and transform the future LMS in (almost) human teachers.

引用

页码：293 / 302

页数：10

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