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Domain knowledge is knowledge of a specific discipline or field in contrast to general (or domain-independent) knowledge. [1] The term is often used in reference to a more general discipline—for example, in describing a software engineer who has general knowledge of computer programming as well as domain knowledge about developing programs for a particular industry.
The communication skills required for successful communication are different for source and receiver. For the source, this includes the ability to express oneself or to encode the message in an accessible way. [8] Communication starts with a specific purpose and encoding skills are necessary to express this purpose in the form of a message.
The expertise reversal effect refers to the reversal of the effectiveness of instructional techniques on learners with differing levels of prior knowledge. [1] [2] The primary recommendation that stems from the expertise reversal effect is that instructional design methods need to be adjusted as learners acquire more knowledge in a specific domain.
The basic steps of communication are the forming of communicative intent, message composition, message encoding, transmission of signal, reception of signal, message decoding and interpretation of the message by the recipient. Examples of methods of communication used to impart knowledge include: Writing and Publishing.
For example, teachers may share and explain information while students may listen and ask clarifying questions. As the background of communication, the relation also affects how the messages are interpreted. For example, seeing a person as an actor on a stage leads to one interpretation of their messages.
The complicated domain consists of the "known unknowns". The relationship between cause and effect requires analysis or expertise; there are a range of right answers. The framework recommends "sense–analyze–respond": assess the facts, analyze, and apply the appropriate good operating practice. [2]
Domain analysis is used to define the domain, collect information about the domain, and produce a domain model. [11] Through the use of feature models (initially conceived as part of the feature-oriented domain analysis method), domain analysis aims to identify the common points in a domain and the varying points in the domain. [ 12 ]
Domain-driven design (DDD) is a major software design approach, [1] focusing on modeling software to match a domain according to input from that domain's experts. [2] DDD is against the idea of having a single unified model; instead it divides a large system into bounded contexts, each of which have their own model.