Enhancing learners' experience in e-learning based scenarios using Intelligent Tutoring Systems and Learning Analytics. First results from a perception survey

被引：0

作者：

Ferrao Luis, Ricardo M. Meira ^{[1
]}

Llamas-Nistal, Martin ^{[1
]}

Fernandez Iglesias, Manuel J. ^{[1
]}

机构：

[1] Univ Vigo, Sch Telecommun Engn, Vigo 36310, Spain

来源：

2017 12TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI) | 2017年

关键词：

e-learning; dropout; MOOC; massive open online course; behavioural patterns; intelligent tutoring system; learning analytics; prototype;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

E-learning students tend to get jaded and easily dropout from online courses. Enhancing the learners' experience and reducing dropout rates in these e-learning based scenarios is the main purpose of this study. This paper presents the results obtained so far and preliminary conclusions. In a first stage, the objective was to study the background and state of the art of these educational scenarios. In a second phase, identifying key reasons for dropouts, through a survey and interviews, was the aim to understand and detect motives and behavior patterns of students with dropout thoughts. Finally, developing, testing and validating a functional prototype of an Intelligent Tutoring System will allow to evaluate concepts, collect statistical information on its effectiveness, analyze and discover if course completion rates are improved.

引用

页数：4