
This document provides the descriptions and the EML document instances of the use cases provided by the members of the IMS Learning Design Group. In order to develop the Learning Design Specification, EML is used as the base for the specification. Participants of the IMS Learning Design Group (e.g. Cisco, WebCT, Pennstate, OUNL) described their use cases about 'Units-of-learning'. This means that they described their vision about learning, which they need in their institute or company. EML was examined to see if it was possible to model all those different views of learning in EML. We were able to model the logic and intities of all the use cases. When possible we have split the use case into separate intities, like knowledge objects, sub units of study, etcetera. The top level unit of study acts as a containing framework for the underlying sub models. Sometimes the use cases describe features, which are properties of XML, regardless of the schema used; for instance, the fact that one can edit, stor, convert of publish a file. Because all EML examples are XML document istances, these features are evident.
knowledge object, IMS Learning Design, Use cases, units-of-learning, units-of-study, XML, EML 1.0 DTD, EML
knowledge object, IMS Learning Design, Use cases, units-of-learning, units-of-study, XML, EML 1.0 DTD, EML
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
