IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Adaptive Sequencing of Information for Lifelong Learners

Adaptive Sequencing of Information for Lifelong Learners
View Sample PDF
Author(s): Sergio Gutierrez-Santos (London Knowledge Lab, Birkbeck College, UK)
Copyright: 2011
Pages: 20
Source title: E-Infrastructures and Technologies for Lifelong Learning: Next Generation Environments
Source Author(s)/Editor(s): George D. Magoulas (Birkbeck College, University of London, UK)
DOI: 10.4018/978-1-61520-983-5.ch011

Purchase

View Adaptive Sequencing of Information for Lifelong Learners on the publisher's website for pricing and purchasing information.

Abstract

Educational technologies have experienced an impressive change in recent years. This, in turn, is having a clear impact on educational practices and processes. Two important consequences for lifelong learning experts are the new possibilities of reusing learning material from different sources, and the need of adapting learning resources to different learners instead of using one-size-fits-all approaches. This chapter deals with the problem of sequencing learning material from both points of view: how to create adaptive sequencings of learning units, and how to share them with other systems by using the semantics of a well-known standard like IMS-LD. The complexity of the process puts the spotlight on the limitations of this widespread IMS specification.

Related Content

Vasanthi Reena Williams. © 2023. 13 pages.
Kiran Vazirani, Rameesha Kalra, Sunanda Vincent Jaiwant. © 2023. 17 pages.
Amandeep Singh, Jyoti Verma, Gagandeep Kaur. © 2023. 11 pages.
Ayodeji Ilesanmi. © 2023. 16 pages.
Nidhi Sheoran, Nisha, Kuldeep Chaudhary. © 2023. 23 pages.
Abin George, D. Ravindran, Monika Sirothiya, Mahendar Goli, Nisha Rajan. © 2023. 22 pages.
Deepa Sharma. © 2023. 16 pages.
Body Bottom