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Learning Design (LD 2003) is a declarative language, meaning that it de-scribes what an implementation supporting LD must do. LD does not state how this should be done. Furthermore, LD is an expressive language, which means that it has the ability to express a learning design in a clear, natural, intuitive and concise way, closest to the original problem formulation. This expressiveness and declarative nature complicate the implementation of an engine that can interpret the specification. As a result, the main objective of this chapter will be to describe how such an engine can be implemented. We will provide guidelines which go beyond the published specification to help implementers incorporate LD into their products.
Tools, Educational Modelling, Learning Networks, Learning Design, e-learning
Tools, Educational Modelling, Learning Networks, Learning Design, e-learning
| citations 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). | 10 | |
| 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). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
