-
1 ограниченное научение
Russian-english psychology dictionary > ограниченное научение
-
2 F06.7
рус Легкое когнитивное расстройствоeng Mild cognitive disorder. A disorder characterized by impairment of memory, learning difficulties, and reduced ability to concentrate on a task for more than brief periods. There is often a marked feeling of mental fatigue when mental tasks are attempted, and new learning is found to be subjectively difficult even when objectively successful. None of these symptoms is so severe that a diagnosis of either dementia (F00-F03) or delirium (F05.-) can be made. This diagnosis should be made only in association with a specified physical disorder, and should not be made in the presence of any of the mental or behavioural disorders classified to F10-F99. The disorder may precede, accompany, or follow a wide variety of infections and physical disorders, both cerebral and systemic, but direct evidence of cerebral involvement is not necessarily present. It can be differentiated from postencephalitic syndrome (F07.1) and postconcussional syndrome (F07.2) by its different etiology, more restricted range of generally milder
См. также в других словарях:
animal learning — ▪ zoology Introduction the alternation of behaviour as a result of individual experience. When an organism can perceive and change its behaviour, it is said to learn. That animals can learn seems to go without saying. The cat that… … Universalium
Virtual learning environment — Defined largely by usage, the term virtual learning environment (VLE) has most, if not all, of the following salient properties: It is Web based It uses Web 2.0 tools for rich 2 way interaction It includes a content management system It models… … Wikipedia
Networked learning — is a process of developing and maintaining connections with people and information, and communicating in such a way so as to support one another s learning. The central term in this definition is connections. It takes a relational stance in which … Wikipedia
History of virtual learning environments — A virtual learning environment (VLE) is a system that creates an environment designed to facilitate teachers in the management of educational courses for their students, especially a system using computer hardware and software, which involves… … Wikipedia
Computer-assisted language learning — (CALL) is succinctly defined in a seminal work by Levy (1997: p. 1) as the search for and study of applications of the computer in language teaching and learning .[1] CALL embraces a wide range of ICT applications and approaches to teaching… … Wikipedia
Collaborative learning — is a situation in which two or more people learn or attempt to learn something together.[1] Unlike individual learning, people engaged in collaborative learning capitalize on one another’s resources and skills (asking one another for information … Wikipedia
distance learning — n. any system of individualized, esp. postsecondary instruction for students at a distance from a campus, utilizing the Internet, videoconferencing, preprogrammed courses, etc. * * * ▪ education Introduction also called distance education , e… … Universalium
Reinforcement learning — Inspired by related psychological theory, in computer science, reinforcement learning is a sub area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long term reward .… … Wikipedia
Constraint learning — In constraint satisfaction backtracking algorithms, constraint learning is a technique for improving efficiency. It works by recording new constraints whenever an inconsistency is found. This new constraint may reduce the search space, as future… … Wikipedia
Association rule learning — In data mining, association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. Piatetsky Shapiro[1] describes analyzing and presenting strong rules discovered in… … Wikipedia
Algorithmic learning theory — (or algorithmic inductive inference) is a framework for machine learning.The framework was introduced in E. Mark Gold s seminal paper Language identification in the limit . The objective of language identification is for a machine running one… … Wikipedia
