An expert is someone who has a broad and deep competence in terms of knowledge, skill and experience through practice and education in a particular field. Informally, an expert is someone widely recognized as a reliabilism source of or skill whose faculty for judging or deciding rightly, justly, or wisely is accorded authority and status by Peer group or the General public in a specific well-distinguished domain. An expert, more generally, is a person with extensive knowledge or Aptitude based on research, experience, or occupation and in a particular area of study. Experts are called in for advice on their respective subject, but they do not always agree on the particulars of a field of study. An expert can be believed, by virtue of , training, education, profession, publication or experience, to have special knowledge of a subject beyond that of the average person, sufficient that others may (and expert witness) rely upon the individual's opinion on that topic. Historically, an expert was referred to as a sage (Sophos). The individual was usually a profound Intellectual distinguished for wisdom and sound judgment.
In specific fields, the definition of expert is well established by consensus and therefore it is not always necessary for individuals to have a professional or academic for them to be accepted as an expert. In this respect, a shepherd with 50 years of experience tending flocks would be widely recognized as having complete expertise in the use and training of sheep dogs and the care of sheep. Another example from computer science is that an expert system may be taught by a human and thereafter considered an expert, often outperforming human beings at particular tasks. In law, an expert witness must be recognized by Logical argument and authority.
Research in this area attempts to understand the relation between expert knowledge, skills and personal characteristics and exceptional performance. Some researchers have investigated the cognitive structures and processes of experts. The fundamental aim of this research is to describe what it is that experts know and how they use their knowledge to achieve performance that most people assume requires extreme or extraordinary ability. Studies have investigated the factors that enable experts to be fast and accurate.
The word expertise is used to refer also to Expert Determination, where an expert is invited to decide a disputed issue. The decision may be binding or advisory, according to the agreement between the parties in dispute.
In the second view expertise is a characteristic of individuals and is a consequence of the human capacity for extensive adaptation to physical and social environments. Many accounts of the development of expertise emphasize that it comes about through long periods of deliberate practice. In many domains of expertise estimates of 10 years' experience deliberate practice are common. Recent research on expertise emphasizes the nurture side of the nature and nurture argument. Some factors not fitting the nature-nurture dichotomy are biological but not genetic, such as starting age, handedness, and season of birth.
In the field of education there is a potential "expert blind spot" (see also Dunning–Kruger effect) in newly practicing educators who are experts in their content area. This is based on the "expert blind spot hypothesis" researched by Mitchell Nathan and Andrew Petrosino (2003: 906). Newly practicing educators with advanced subject-area expertise of an educational content area tend to use the formalities and analysis methods of their particular area of expertise as a major guiding factor of student instruction and knowledge development, rather than being guided by student learning and developmental needs that are prevalent among novice learners.
The blind spot metaphor refers to the physiological blind spot in human vision in which perceptions of surroundings and circumstances are strongly impacted by their expectations. Beginning practicing educators tend to overlook the importance of novice levels of prior knowledge and other factors involved in adjusting and adapting pedagogy for learner understanding. This expert blind spot is in part due to an assumption that novices’ cognitive schemata are less elaborate, interconnected, and accessible than experts’ and that their pedagogical reasoning skills are less well developed (Borko & Livingston, 1989: 474). Essential knowledge of subject matter for practicing educators consists of overlapping knowledge domains: subject matter knowledge and pedagogical content matter (Borko, Eisenhart, Brown, Underhill, Jones, & Agard, 1992: 195). Pedagogical content matter consists of an understanding of how to represent certain concepts in ways appropriate to the learner contexts, including abilities and interests. The expert blind spot is a pedagogical phenomenon that is typically overcome through educators’ experience with instructing learners over time.
Plato's "Noble Lie", concerns expertise. Plato did not believe most people were clever enough to look after their own and society's best interest, so the few clever people of the world needed to lead the rest of the flock. Therefore, the idea was born that only the elite should know the truth in its complete form and the rulers, Plato said, must tell the people of the city "the noble lie" to keep them passive and content, without the risk of upheaval and unrest.
In contemporary society, doctors and scientists, for example, are considered to be experts in that they hold a body of dominant knowledge that is, on the whole, inaccessible to the layman.
An important feature of expert performance seems to be the way in which experts are able to rapidly retrieve complex configurations of information from long-term memory. They recognize situations because they have meaning. It is perhaps this central concern with meaning and how it attaches to situations which provides an important link between the individual and social approaches to the development of expertise. Work on "Skilled Memory and Expertise" by Anders Ericsson and James J. Staszewski confronts the paradox of expertise and claims that people not only acquire content knowledge as they practice cognitive skills, they also develop mechanisms that enable them to use a large and familiar knowledge base efficiently.
Work on expert systems (computer software designed to provide an answer to a problem, or clarify uncertainties where normally one or more human experts would need to be consulted) typically is grounded on the premise that expertise is based on acquired repertoires of rules and frameworks for decision making which can be elicited as the basis for computer supported judgment and decision-making. However, there is increasing evidence that expertise does not work in this fashion. Rather, experts recognize situations based on experience of many prior situations. They are in consequence able to make rapid decisions in complex and dynamic situations.
In a critique of the expert systems literature suggest:
If one asks an expert for the rules he or she is using, one will, in effect, force the expert to regress to the level of a beginner and state the rules learned in school. Thus, instead of using rules they no longer remember, as knowledge engineers suppose, the expert is forced to remember rules they no longer use. … No amount of rules and facts can capture the knowledge an expert has when he or she has stored experience of the actual outcomes of tens of thousands of situations.
Skilled memory enables experts to rapidly encode, store, and retrieve information within the domain of their expertise and thereby circumvent the capacity limitations that typically constrain novice performance. For example, it explains experts' ability to recall large amounts of material displayed for only brief study intervals, provided that the material comes from their domain of expertise. When unfamiliar material (not from their domain of expertise) is presented to experts, their recall is no better than that of novices.
The first principle of skilled memory, the meaningful encoding principle, states that experts exploit prior knowledge to durably encode information needed to perform a familiar task successfully. Experts form more elaborate and accessible memory representations than novices. The elaborate semantic memory network creates meaningful memory codes that create multiple potential cues and avenues for retrieval.
The second principle, the retrieval structure principle states that experts develop memory mechanisms called retrieval structures to facilitate the retrieval of information stored in long term memory. These mechanisms operate in a fashion consistent with the meaningful encoding principle to provide cues that can later be regenerated to retrieve the stored information efficiently without a lengthy search.
The third principle, the speed up principle states that long term memory encoding and retrieval operations speed up with practice, so that their speed and accuracy approach the speed and accuracy of short term memory storage and retrieval.
Examples of skilled memory research described within the Ericsson and Stasewski study include:
One of the most cited works in this area, Chi et al. (1981), examines how experts (PhD students in physics) and novices (undergraduate students that completed one semester of mechanics) categorize and represent physics problems. They found that novices sort problems into categories based upon surface features (e.g., keywords in the problem statement or visual configurations of the objects depicted). Experts, however, categorize problems based upon their deep structures (i.e., the main physics principle used to solve the problem).
Their findings also suggest that while the schemas of both novices and experts are activated by the same features of a problem statement, the experts’ schemas contain more procedural knowledge which aid in determining which principle to apply, and novices’ schemas contain mostly declarative knowledge which do not aid in determining methods for solution.
Marie-Line Germain (Germain, 2006) developed a psychometric measure of perception of employee expertise called the Generalized Expertise Measure (GEM). She defined a behavioral dimension in experts, in addition to the dimensions suggested by Swanson and Holton (2001). Her 16-item scale contains objective expertise items and subjective expertise items. Objective items were named Evidence-Based items. Subjective items (the remaining 11 items from the measure below) were named Self-Enhancement items because of their behavioral component.
In The Rhetoric of Expertise, E. Johanna Hartelius defines two basic modes of expertise: autonomous and attributed expertise. While an autonomous expert can "possess expert knowledge without recognition from other people," attributed expertise is "a performance that may or may not indicate genuine knowledge." With these two categories, Hartelius isolates the rhetorical problems faced by experts: just as someone with autonomous expertise may not possess the skill to persuade people to hold their points of view, someone with merely attributed expertise may be persuasive but lack the actual knowledge pertaining to a given subject. The problem faced by audiences follows from the problem facing experts: when faced with competing claims of expertise, what resources do non-experts have to evaluate claims put before them?Hartelius, E. Johanna. The Rhetoric of Expertise. Lanham: Lexington, 2011. Print.
Hartelius calls attention to two competing norm systems of expertise: “network norms of dialogic collaboration” and “deferential norms of socially sanctioned professionalism”; Wikipedia being evidence of the first.Hartelius, E. Johanna. (2011). Wikipedia and the Emergence of Dialogic Expertise. Southern Communication Journal, Vol. 75, No. 5, Nov–Dec 2010, pp. 505–526. Drawing on a Mikhail Bakhtin, Hartelius posits that Wikipedia is an example of an epistemic network that is driven by the view that individuals’ ideas clash with one another so as to generate expertise collaboratively. Hartelius compares Wikipedia's methodology of open-ended discussions of topics to that of Mikhail Bakhtin, where genuine dialogue is considered a live event, which is continuously open to new additions and participants. Hartelius acknowledges that knowledge, experience, training, skill, and are important dimensions of expertise but posits that the concept is more complex than sociologists and psychologists suggest. Arguing that expertise is rhetorical, then, Hartelius explains that expertise: “(...) is not simply about one person’s skills being different from another’s. It is also fundamentally contingent on a struggle for ownership and legitimacy.”. Effective communication is an inherent element in expertise in the same style as knowledge is. Rather than leaving each other out, substance and communicative style are complementary. Hartelius further suggests that Wikipedia's dialogic construction of expertise illustrates both the instrumental and the constitutive dimensions of rhetoric; instrumentally as it challenges Encyclopedia and constitutively as a function of its knowledge production. Going over the historical development of the encyclopedic project, Hartelius argues that changes in traditional encyclopedias have led to changes in traditional expertise. Wikipedia's use of to connect one topic to another depends on, and develops, electronic interactivity meaning that Wikipedia's way of knowing is dialogic. Dialogic expertise then, emerges from multiple interactions between utterances within the discourse community. The ongoing dialogue between contributors on Wikipedia not only results in the emergence of truth; it also explicates the topics one can be an expert of. As Hartelius explains: “The very act of presenting information about topics that are not included in traditional encyclopedias is a construction of new expertise.”. While Wikipedia insists that contributors must only publish preexisting knowledge, the dynamics behind dialogic expertise creates new information nonetheless. Knowledge production is created as a function of dialogue. According to Hartelius, dialogic expertise has emerged on Wikipedia not only because of its interactive structure but also because of the site's hortative discourse which is not found in traditional encyclopedias. By Wikipedia's hortative discourse, Hartelius means various encouragements to edit certain topics and instructions on how to do so that appear on the site. One further reason to the emergence of dialogic expertise on Wikipedia is the site's community pages, which function as a techne; explicating Wikipedia's expert methodology.
The term is widely used informally, with people being described as 'experts' in order to bolster the relative value of their opinion, when no objective criteria for their expertise is available. The term crank is likewise used to disparage opinions. Academic elitism arises when experts become convinced that only their opinion is useful, sometimes on matters beyond their personal expertise.
In contrast to an expert, a novice (known colloquially as a newbie or 'greenhorn') is any person that is new to any science or field of study or activity or social cause and who is undergoing training in order to meet normal requirements of being regarded a mature and equal participant.
"Expert" is also being mistakenly interchanged with the term "authority" in new media. An expert can be an authority if through relationships to people and technology, that expert is allowed to control access to his expertise. However, a person who merely wields authority is not by right an expert. In new media, users are being misled by the term "authority". Many sites and search engines such as Google and Technorati use the term "authority" to denote the link value and traffic to a particular topic. However, this authority only measures populist information. It in no way assures that the author of that site or blog is an expert.