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Learning theory (education) A classroom in Norway. Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained. [1] [2]
A social behavior theory which proposes that new behaviors can be acquired by observing and imitating others. Albert Bandura is known for studying this theory. It states that learning is a cognitive process that takes place in a social context and can occur purely through observation or direct instruction, even in the absence of motor reproduction or direct reinforcement.
AI@50, formally known as the "Dartmouth Artificial Intelligence Conference: The Next Fifty Years" (July 13–15, 2006), was a conference organized by James Moor, commemorating the 50th anniversary of the Dartmouth workshop which effectively inaugurated the history of artificial intelligence.
Double-loop learning entails the modification of goals or decision-making rules in the light of experience. The first loop uses the goals or decision-making rules, the second loop enables their modification, hence "double-loop". Double-loop learning recognises that the way a problem is defined and solved can be a source of the problem. [1]
e. Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. [1] The ability to learn is possessed by humans, non-human animals, and some machines; there is also evidence for some kind of learning in certain plants. [2] Some learning is immediate, induced by a single event (e.g ...
The Interpretive Theory of Translation (ITT) is a concept from the field of Translation Studies.It was established in the 1970s by Danica Seleskovitch, a French translation scholar and former Head of the Paris School of Interpreters and Translators (Ecole Supérieure d’Interprètes et de Traducteurs (ESIT), Université Paris 3 - Sorbonne Nouvelle).
Stability (learning theory) Stability, also known as algorithmic stability, is a notion in computational learning theory of how a machine learning algorithm output is changed with small perturbations to its inputs. A stable learning algorithm is one for which the prediction does not change much when the training data is modified slightly.
Archived from the original on October 8, 2015. Retrieved August 25, 2017. Microsoft PowerPoint, virtual presentation software developed by Robert Gaskins and Dennis Austin for the American computer software company Forethought, Inc. The program, initially named Presenter, was released for the Apple Macintosh in 1987.