Domain-specific learning — theories of development hold that we have many independent, specialized knowledge structures, rather than one cohesive knowledge structure. Thus, training in one domain may not impact another independent domain.[1] For example, core knowledge… … Wikipedia
Domain specificity — This term is also used in scientific articles, in which domain is a sphere of activity, function, or field; and domain specificity is a characteristic of processing that is unique for this domain. Domain specificity is a theoretical position in… … Wikipedia
Domain-specific multimodeling — Domain specific multimodeling[1] is a software development paradigm where each view is made explicit as a separate domain specific language (DSL). Successful development of a modern enterprise system requires the convergence of multiple views.… … Wikipedia
Domain — may refer to: General Territory (administrative division), a non sovereign geographic area which has come under the authority of another government Public domain, a body of works and knowledge without proprietary interest Eminent domain, the… … Wikipedia
Domain-specific language — Programming paradigms Agent oriented Automata based Component based Flow based Pipelined Concatenative Concurrent computing … Wikipedia
Learning — Learn and Learned redirect here. For other uses, see Learn (disambiguation) and Learned (disambiguation). Neuropsychology Topics … Wikipedia
Learning disability — In the United States and Canada, the term learning disability (LD) refers to a group of disorders that affect a broad range of academic and functional skills including the ability to speak, listen, read, write, spell, reason and organize… … Wikipedia
Benchmarking e-learning — Benchmarking is a management tool that has been applied in many areas of business but it is only in 2005 06 that there has been immense growth in its application specifically to university use of educational technology, initially in New Zealand ( … Wikipedia
Intercultural learning — is an area of research, study and application of knowledge about different cultures, their differences and similarities. On the one hand, it includes a theoretical and academic approach (see e.g. Developmental Model of Intercultural Sensitivity… … Wikipedia
Decision tree learning — This article is about decision trees in machine learning. For the use of the term in decision analysis, see Decision tree. Decision tree learning, used in statistics, data mining and machine learning, uses a decision tree as a predictive model… … Wikipedia