restricted learning
1animal 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… …
2Virtual 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… …
3Networked 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 …
4History 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… …
5Computer-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… …
6Collaborative 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 …
7distance 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… …
8Reinforcement 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 .… …
9Constraint 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… …
10Association 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… …
