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What is Learning Design Language

Handbook of Research on Learning Design and Learning Objects: Issues, Applications, and Technologies
A notation that describes learning designs in a machine interpretable way. The most obvious use of such a learning design language is that it can be used to codify the learning design of a course (as a flow of activities), and then this code is interpreted with a runtime engine that can repeat the course over and over again for different users in different situations, adapted to the characteristics of the individual users in the course. When the course is designed well, the different actors do not have to be concerned much about the management of activities and information flow within the course: this is done automatically. Also, the adaptation rules that are specified are applied automatically and consistently within the course runs. Furthermore, the necessary content and services are set up automatically and made available to the users at the right moment.
Published in Chapter:
Using the IMS LD Standard to Describe Learning Designs
Rob Koper (Open University of The Netherlands, The Netherlands) and Yongwu Miao (Open University of The Netherlands, The Netherlands)
DOI: 10.4018/978-1-59904-861-1.ch003
Abstract
IMS learning design (IMSLD) is an open standard that can be used to specify a wide range of pedagogical strategies in computer-interpretable models. Such models then can be played in any learning design (LD) compatible execution environment to support teachers and students to conduct online teaching–learning. This chapter introduces the basic knowledge required to effectively use LD. First of all, we present fundamental principles behind LD. Then, we introduce main concepts and their relations in LD and discuss some technical issues about how to make a learning design executable in a computer-based environment. Finally, how to model learning designs using LD is explained through demonstrating the whole procedure to model a use case in Extensible Markup Language (XML). We expect that the readers of this chapter can apply LD to create simple learning designs and understand learning designs with sophisticated features.
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