Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Resolving the Problem of Intelligent Learning Content in Learning Management Systems

Rey-López, Marta and Brusilovsky, Peter and Meccawy, Maram and Díaz-Redondo, Rebeca P. and Fernández-Vila, Ana and Ashman, Helen (2008) Resolving the Problem of Intelligent Learning Content in Learning Management Systems. International Journal on E-Learning, 7 (3). 363 - 381. ISSN 1537-2456

This is the latest version of this item.

[img]
Preview
PDF
Available under License : See the attached license file.

Download (386kB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Current e-learning standardization initiatives have put much effort into easing interoperability between systems and the reusability of contents. For this to be possible, one of the most relevant areas is the definition of a run-time environment, which allows Learning Management Systems to launch, track and communicate with learning objects. However, when dealing with intelligent content, these environments show important restrictions. In this article, we study these restrictions, comparing several standardized run-time environments with nonstandardized solutions that aim to overcome these constraints.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Rey-López, Marta
Brusilovsky, Peterpeterb@pitt.eduPETERB0000-0002-1902-1464
Meccawy, Maram
Díaz-Redondo, Rebeca P.
Fernández-Vila, Ana
Ashman, Helen
Date: July 2008
Date Type: Publication
Journal or Publication Title: International Journal on E-Learning
Volume: 7
Number: 3
Publisher: AACE
Page Range: 363 - 381
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
Uncontrolled Keywords: e-learning, ieee, ims, scorm, standard
ISSN: 1537-2456
Official URL: http://www.editlib.org/p/26219
Article Type: Research Article
Date Deposited: 25 Apr 2012 17:30
Last Modified: 01 Nov 2017 12:57
URI: http://d-scholarship.pitt.edu/id/eprint/11932

Available Versions of this Item


Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item