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In this context, it must be emphasised that interactional expertise is a tacit knowledge-laden ability and thus similar in kind to the more embodied contributory expertise. This means that, like contributory expertise, interactional expertise cannot be acquired from books alone and it cannot be encoded in computerised expert systems.
The expertise-based intuition increases over time when the employee gets more experience regarding the organization worked for and by gathering domain-specific knowledge. In this context the so-called intuition is not just series of random guesses, but rather a process of combining expertise and know-how with the employee's instincts. [15]
These include features such as staff networking, expert recommendations, information sharing, expertise location, peer feedback, and real-time collaboration. At the personal level, this enables employees to enhance social awareness and their profiles and interactions Collaboration encompasses both asynchronous and synchronous methods of ...
Behavioral competencies: Individual performance competencies are more specific than organizational competencies and capabilities. As such, it is important that they be defined in a measurable behavioral context in order to validate applicability and the degree of expertise (e.g. development of talent)
In this context, a community of practice is a group of individuals with shared interests or goals who develop both their individual and shared identities through community participation. The structural characteristics of a community of practice are redefined to a domain of knowledge, a notion of community and a practice:
Knowledge transfer icon from The Noun Project. Knowledge transfer refers to transferring an awareness of facts or practical skills from one entity to another. [1] The particular profile of transfer processes activated for a given situation depends on (a) the type of knowledge to be transferred and how it is represented (the source and recipient relationship with this knowledge) and (b) the ...
Thus, stimulus meaningfulness independently contributes to learning context – chess piece associations. One general mechanism that may underlie this expertise effect is an enhanced ability to use semantic information over and above strictly visual information to predict the locations of a display’s task-relevant content. Nevertheless ...
Prompt engineering can possibly be further enabled by in-context learning, defined as a model's ability to temporarily learn from prompts. The ability for in-context learning is an emergent ability [ 60 ] of large language models .