Plagiarising is difficult to do by accident. If you do your own writing you are not plagiarizing, except in some very unusual case in which you subconsciously remember something and quote it without realizing what you are doing (this happened once to George Harrison who used the melody from "He's So Fine" to compose the song "My Sweet Lord" without even knowing what he was doing). Just think about what you are doing, and this is not likely to happen to you.
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When doing research avoid copying chunks of text as notes. It is much better to make original notes for yourself geared directly to your work, saying things like For a short summary of the problems with this explanation see ... This also has the great advantage of giving you a much better overview of your work.
The quote â??Knowledge is powerâ?? is attributed to Francis Bacon. Writing an essay on the quote could highlight examples that prove this idea to be a fact. One such idea could include how powerful certain pharmaceutical companies have become after discovering medication to help with diseases that afflict millions of people.
I use it to have the students explore INDEPENDENT AND DEPENDENT VARIABLES in sixth grade science. EX: turning ears a certain way creates a certain spin as does adding mass to the bottom of the copter Kind of a cause and effect activity
Privileged information refers to knowledge that is private and only certain people need to know it. An example of privileged information is a person's health history. Health information is only for a patient and his or her doctor to know.
Knowledge-Based SystemsA knowledge-based system is a computer program that reasons and uses knowledge to solve complex problems. Traditionally, computers have solved complex problems using arithmetic algorithms created by programmers. With knowledge-based systems, human knowledge is captured and embedded explicitly within a program in a symbolic format.Expressing knowledge as rules and heuristics has two particular advantages over previous software development technology. Not only can explicit knowledge be trapped in the computer, but so can implicit knowledge, which is useful and potentially very profitable. The other advantage is that knowledge that exists in the form of rules can be captured in that form, without having to be converted by teams of analysts and programmers into data definitions and procedures.Types of SystemsOne way that knowledge-based systems can be classified is by the kind of conclusions they produce. Some interpret the available evidence and produce diagnoses-for example, to explain the reason for a machine breakdown. Others interpret the available evidence but offer a prediction, such as the likelihood of a particular applicant for a loan becoming a slow-payer or a defaulter. Some systems address design questions, proposing the form or layout of a product or the configuration of components. Some are related to industrial engineering matters such as the procedure for assembling the components.However, not all knowledge-based systems are so ambitious. Many merely use the captured rules to determine to which class a particular example belongs. For example, a system might determine whether a particular person is, or is not, entitled to a particular government benefit, an entry visa, or permanent residence.Development TechniquesDuring the development of a knowledge-based system, knowledge is extracted from one or more domain specialists, or people who have specialized knowledge in the relevant domain. The knowledge is commonly expressed in the form of antecedent-consequent (IF THEN) rules. In some cases it may be possible for the domain specialist to feed the knowledge directly into the system, but usually an intermediary knowledge engineer captures it using supporting software.Once the system is developed, a user consults it to find information about some event or situation within a problem domain. The software draws inferences by applying the explicit rules elicited by the expert and the more general implicit rules derived by the system. A result is provided to the user in the form of a diagnosis, prognosis, recommendation, or decision, depending on the nature of the application. In addition, the user may request an explanation of the argument the software used to reach its conclusion.Knowledge-based systems usually contain three components: a human-computer interface , a knowledge base, and an inference engine program. The human-computer interface is where the user formulates queries, which the knowledge-based system uses to solicit further information from the user and explain to the user the reasoning process employed to arrive at an answer. The knowledge of one or more human experts in a specific field or task is stored in the knowledge base. The knowledge base is set up as an intelligent database-it can usually manipulate the stored information in a logical, natural, or easy-to-find way. It can conduct searches based on predetermined rules of defined associations and relationships, as well as by the more traditional data search techniques.The knowledge base is usually made up of factual knowledge, and sometimes even heuristic knowledge. Factual knowledge consists of information that is commonly shared, found in textbooks or journals, or agreed upon by humans knowledgeable in a specific field or task. Heuristic knowledge, on the other hand, is experiential knowledge of performance; it is the knowledge behind an educated guess.The inference engine of an expert system is usually set up to mimic the reasoning, or problem-solving ability, that the human expert would use to arrive at a conclusion. The inference engine simulates the evaluation process of relating the information and rules in the knowledge base to the answers to a series of questions given by the operator. Following this model, an expert system will receive propositions, or answers to a certain line of questions, and then try to use its inference engine to process the information into rules. It will compare the propositions to the facts and rules registered in its knowledge base.Current and Future UsesThe primary goal of knowledge-based systems is to make expertise available to decision-makers who need answers quickly. Expertise is often unavailable at the right place and the right time. Portable computers loaded with in-depth knowledge of specific subjects can bring years' worth of knowledge to a specific problem. The first knowledge-based or expert system, Dendral, was developed in 1965 by Edward Feigenbaum (1936-) and Joshua Lederberg of Stanford University in California and was used to analyze chemical compounds. Since 1965, knowledge-based systems have enhanced productivity in business, science, engineering, and the military. They also attempt to predict the weather, stock market values, and mineral deposit locations; give a medical diagnosis; dispense medication; and evaluate applications and transaction patterns.Knowledge-based systems appear to have a great deal of potential, but they also face some challenges. These include the shortage of knowledge engineers with necessary skills; the relative immaturity of many of the available tools; and overly specific problem domains. Most knowledge-based systems deal with very specific problem domains, and therefore do not undertake or support a complete activity, but rather one or two tasks within a sequence or cluster of tasks. The benefit that such software offers is not necessarily to automate the process completely and cut costs drastically, but to assist the user to complete the activity faster, somewhat more cheaply, and probably more accurately.see also Artificial Intelligence; Neural Networks.William J. YurcikBibliographyGonzalez, Avelino J., and Douglas D. Dankel. The Engineering of Knowledge-Based Systems: Theory and Practice. Englewood Cliffs, NJ: Prentice Hall, 2000.Ignizio, James P. An Introduction to Expert Systems: The Development and Implementation of Rule-based Expert Systems. New York: McGraw-Hill, 1991.Jackson, Peter. Introduction to Expert Systems, 3rd ed. Reading, MA: Addison Wesley International Computer Science Series, 1999.Stefik, Mark J. Introduction to Knowledge Systems. San Francisco: Morgan Kaufmann, 1995.
Yes, university libraries are typically open to the public, although access to certain resources or services may be restricted to students, faculty, or staff. Visitors may need to check in at the front desk and follow specific guidelines set by the library.
Communication boosts students confidence and self-steem on school. It also helps them perform more better than thoes students that don't communicate and socialize. It makes them feel confident if they communicate to a certain part of the school such as their teachers and classmates...
Consequences for plagiarizing can include academic penalties like failing a course or being expelled, legal consequences such as fines or lawsuits, damage to one's reputation, and career repercussions like losing a job or being barred from certain professions.
I think background knowledge is something you can build with a student, whereas schema is what they already have experienced. I'm studying this stuff in grad school, and I googled this trying to find an answer. I'm pretty certain that's essentially the difference. and also teacher can not provide students with schemata but can provide students with background knowledge.
Soccer referees do not necessarily need to speak multiple languages to effectively communicate with players and officials on the field. However, having knowledge of common soccer terms in different languages can be helpful in certain situations. Referees primarily use gestures and signals to communicate during matches.
To better communicate information
You have a certain lack of knowledge if you can't figure this out.
i think only certain students that can be trusted should
To better communicate information
Teacher's are mean to certain students because deep down and side they want to be the child. Or u do things they do not care for. Or it could be there racism
You can politely communicate that you do not want to discuss a certain topic by saying something like, "I appreciate your interest, but I would prefer not to talk about that subject right now."
The three types of background knowledge are declarative (factual information), procedural (how-to knowledge), and conditional (knowledge of when and why to use certain strategies or actions).
In this day and age, respiratory therapy education is becoming more and more popular. Respiratory therapy is required for various degrees and professions, so quite a few students are undertaking such courses. Colleges and trade schools regularly offer these course for students pursuing certain medical and other degrees. However, certain medical students who do not need this course should still take one or two classes. Having this knowledge can always payoff later in a career.