Towards Personalized Content in Massive Open Online Courses

被引：7

作者：

El Mawas, Nour ^{[1
]}

Gilliot, Jean-Marie ^{[1
]}

Garlatti, Serge ^{[1
]}

Euler, Reinhardt ^{[2
]}

Pascual, Sylvain ^{[3
]}

机构：

[1] IMT Atlantique, LabSTICC, Brest, France

[2] Univ Brest, LabSTICC, Brest, France

[3] Immanens, Educ Sect, Palaiseau, France

来源：

CSEDU: PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED EDUCATION - VOL 2 | 2019年

关键词：

Personalization; MOOCs; Learner Model; Course Model; Lifelong Learning;

D O I：

10.5220/0006816703310339

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Despite the growth of MOOCs, Lifelong learners confront many difficulties related to the attendance of courses on MOOCs. Lifelong learners are often very different in terms of background, ability, experience, and prior knowledge but they are required to follow the same content. This explains the low average completion rate for MOOCs. The research presented in this paper aims to define the functional and technical architecture to personalize content in Massive Open Online Courses in a Lifelong Learning perspective. The term content refers to videos, tutorials, documents, exercises, and quizzes in MOOCs. This work is dedicated to teachers, MOOC designers, MOOC providers, pedagogical engineers, and researchers in e-Learning and learning analytics. This work takes place within the context of a European project called MOOCTAB (Massive Online Open Course Tablet).

引用

页码：331 / 339

页数：9

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