Title
Content Adaptation in Mobile Learning Environments
Abstract
In this paper, the authors present their proposal for adaptation of educational contents of learning objects to a particular mobile device and a specific learner. Content adaptation in mobile learning objects implies user adaptation and device adaptation, and requires additional metadata categories in comparison with SCORM 2004. This learning object content model, ALMA A Learning content Model Adaptation, inherits from the SCORM standard a subset of metadata categories, and extends it with three top level metadata categories for content adaptation, i.e., Knowledge, Use, and Mobile Device Requirements Castillo & Ayala, 2008. For user adaptation, the authors developed NORIKO NOn-monotonic Reasoning for Intelligent Knowledge awareness and recommendations On the move, a belief system based on DLV, a programming system based on Answer Set Programming paradigm. For device adaptation the authors designed CARIME Content Adapter of Resources In Mobile learning Environments, which uses transcoding and transrating to adapt media content to suit the device characteristics.
Year
DOI
Venue
2010
10.4018/jmdem.2010100101
IJMDEM
Keywords
Field
DocType
mobile learning object,content model,user adaptation,particular mobile device,device adaptation,content adaptation,educational content,mobile learning environments,device characteristic,alma a learning content,media content,computational models
Metadata,Transcoding,Computer science,Content Model,Adapter (computing),Learning object,Mobile device,Multimedia,Answer set programming,Content adaptation
Journal
Volume
Issue
ISSN
1
4
1947-8534
Citations 
PageRank 
References 
2
0.37
11
Authors
2
Name
Order
Citations
PageRank
Sergio Castillo1223.23
Gerardo Ayala2203.47