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...

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

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)...

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

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

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

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

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

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

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

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

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

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

The Advancement of Learning (full title: Of the Proficience and Advancement of Learning, Divine and Human) is a 1605 book by Francis Bacon which introduces...

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

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...

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

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

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

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

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

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...

In machine learning (ML), feature learning or representation learning is a set of techniques that allow a system to automatically discover the representations...

A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language...

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