Learning Object Evaluation
Erla M. Morales (University of Salamanca, Spain), Francisco J. García (University of Salamanca, Spain) and Ángela Barrón (University of Salamanca, Spain)
Copyright: © 2008
|Pages: 8
DOI: 10.4018/978-1-59904-885-7.ch106
Abstract
One of the biggest challenges to knowledge management systems (KMS) is the great importance that many organizations have given to obtaining information rather than to its retrieval. As a result, users face the problem of having large quantities of information and many difficulties retrieving the information they really need. Through an e-learning repository we can find a myriad of content from academic research and contributions, but how to guarantee and manage their content’s quality?
Key Terms in this Chapter
E-Learning: The use of Internet technologies for learning activities to promote a wide display of solutions for improving knowledge and performance.
Knowledge Management System: Knowledge that must be used to improve learning into a teaching and learning process supported by a set of applications that is used to deliver courses to students.
Learning Objects Normalization: Adjust aggregation level of learning object to a specific structure for instructional design.
Quality Learning Objects: A property or group of properties inherent in a learning object, which aim to value them as equal, better or worst than other ones.
Learning Objects: A unit with a learning objective, together with digital and independent capabilities containing one or a few related ideas and accessible through metadata to be reused in different contexts and platforms.
Learning Objects Repository (LOR): Collections of learning objects that are accessible via Internet. They function like portals with a Web-based user interface, a search service and a catalogue for the resources contained.
Metadata: Coded information about a learning object that aims to describe and manage them in the learning object repository.