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...

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

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

In machine learning, deep learning focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation...

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

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)...

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...

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...

Sleep-learning or sleep-teaching (also known as hypnopædia or hypnopedia) is an attempt to convey information to a sleeping person, typically by playing...

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

In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a computational model inspired by the structure...

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

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

In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves...

Cooperative learning is an educational approach which aims to organize classroom activities into academic and social learning experiences. There is much...

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

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

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

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

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

Social learning may refer to: Social learning theory, a perspective that states that people learn within a social context. It is facilitated through concepts...

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

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...

Imitation learning is a paradigm in reinforcement learning, where an agent learns to perform a task by supervised learning from expert demonstrations....

Learning disability, learning disorder, or learning difficulty (British English) is a condition in the brain that causes difficulties comprehending or...

Action Learning is an approach to problem solving that involves taking action and reflecting upon the results. This method is purported to help improve...

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