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What is Learning Object Metadata (LOM)

Encyclopedia of Multimedia Technology and Networking, Second Edition
Metadata that contain semantic information about learning objects. The main aim of LOM specification is to enable reuse, search, and retrieval of learning objects. The standard developed by the IEEE Learning Technology Standards Committee (LTSC) in 1997 specifies a conceptual data schema that defines the structure of metadata instances for a learning object.
Published in Chapter:
Teaching and Learning with Mobile Technologies
Hyo-Jeong So (Nanyang Technological University, Singapore) and Bosung Kim (University of Missouri–Columbia, USA)
DOI: 10.4018/978-1-60566-014-1.ch184
Abstract
For the past decade, handheld devices with mobile and wireless capabilities have emerged as the next promising generation of technology for teaching and learning. Today, handheld devices such as mobile phones, personal digital assistants (PDAs), portable gaming devices, and tablet PCs have already become pervasive in daily lives of students. With this trend, there has been increased interest as to how mobile technologies can be used to enhance teaching and learning. One of the challenges for educators is to examine how we can use the new innovations of mobile technologies to create learning experiences that are often limited in traditional classroom environments. The purpose of this article, therefore, is to provide innovative and practical applications of mobile technologies in a variety of educational contexts, including from K-12 to higher education and informal learning.
Full Text Chapter Download: US $37.50 Add to Cart
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Towards a Methodology for Semantic and Context-Aware Mobile Learning
This is a data model, usually encoded in XML, used to describe a learning object and similar digital resources used to support learning. The purpose of learning object metadata is to support the reusability of learning objects, to aid discoverability, and to facilitate their interoperability, usually in the context of online learning management systems.
Full Text Chapter Download: US $37.50 Add to Cart
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