Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. The ability to learn is possessed...

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn...

Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source)...

Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs...

Meta-learning is a branch of metacognition concerned with learning about one's own learning and learning processes. The term comes from the meta prefix's...

In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from...

Deep learning is a subset of machine learning that focuses on utilizing multilayered neural networks to perform tasks such as classification, regression...

Learning standards (also called academic standards, content standards and curricula) are elements of declarative, procedural, schematic, and strategic...

Psychomotor learning is the relationship between cognitive functions and physical movement. Psychomotor learning is demonstrated by physical skills such...

Personalized learning (also named individualized instruction, personal learning place or direct instruction) refers to efforts to tailor education to meet...

A learning object is "a collection of content items, practice items, and assessment items that are combined based on a single learning objective". The...

Blended learning or hybrid learning, also known as technology-mediated instruction, web-enhanced instruction, or mixed-mode instruction, is an approach...

encompasses several domains including learning theory, computer-based training, online learning, and m-learning where mobile technologies are used. The...

A learning curve is a graphical representation of the relationship between how proficient people are at a task and the amount of experience they have....

Implicit learning is the learning of complex information in an unintentional manner, without awareness of what has been learned. According to Frensch and...

programs, materials or learning and development programs. The learning management system concept emerged directly from e-Learning. Learning management systems...

In business management, a learning organization is a company that facilitates the learning of its members and continuously transforms itself. The concept...

education (also known as online learning, remote learning or remote education) through an online school. A distance learning program can either be completely...

A learning automaton is one type of machine learning algorithm studied since 1970s. Learning automata select their current action based on past experiences...

Federated learning (also known as collaborative learning) is a machine learning technique in a setting where multiple entities (often called clients)...

Organizational learning is the process of creating, retaining, and transferring knowledge within an organization. An organization improves over time as...

Collaborative learning is a situation in which two or more people learn or attempt to learn something together. Unlike individual learning, people engaged...

alternatives to rote learning include meaningful learning, associative learning, spaced repetition and active learning. Rote learning is widely used in the...

approaches to peer learning comes out of cognitive psychology, and is applied within a "mainstream" educational framework: "Peer learning is an educational...

Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled...

Programmed learning (or programmed instruction) is a research-based system which helps learners work successfully. The method is guided by research done...

Lifelong learning is the "ongoing, voluntary, and self-motivated" pursuit of learning for either personal or professional reasons. Lifelong learning is important...

machine learning: supervised learning, unsupervised learning, and reinforcement learning. A lot of the learning methods in machine learning work similar...

Learning theory may refer to: Learning theory (education), the process of how humans learn Connectivism Educational philosophies, an academic field that...

In machine learning, supervised learning (SL) is a paradigm where a model is trained using input objects (e.g. a vector of predictor variables) and desired...