M-learning, or mobile learning, is a form of distance education or technology enhanced active learning where learners use portable devices such as mobile...

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

Electronic learning or e-learning is computer-enhanced learning. A specific and always more diffused e-learning is mobile learning (m-learning), which uses...

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

(distributed learning, e-learning, m-learning, virtual classroom, etc.) are used roughly synonymously with distance education. E-learning has shown to...

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

a yearly symposium called Mobile Learning Week with the purpose of gathering stakeholders to discuss the M-learning initiative. Implementation is not...

both Mobile Learning (m-learning) and computer-assisted language learning (CALL). MALL has evolved to support students’ language learning with the increased...

In machine learning and computer vision, M-theory is a learning framework inspired by feed-forward processing in the ventral stream of visual cortex and...

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

Digital learning is learning that is supported by technology. It encompasses any type of learning that is accompanied by technology or by instructional...

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

Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related...

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...

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

e-learning platforms in the country have also opened in recent years. The introduction of 3G/4G technology has contributed to the growth in m-learning (mobile...

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

that M-Learning is more than just using a mobile device for E-Learning, and that it requires an entirely different approach. In order to utilize M-Learning...

action learning, adventure learning, free-choice learning, cooperative learning, service-learning, and situated learning. Experiential learning is often...

The learning pyramid (also known as “the cone of learning”, “the learning cone”, “the cone of retention”, “the pyramid of learning”, or “the pyramid of...

Learning styles refer to a range of theories that aim to account for differences in individuals' learning. Although there is ample evidence that individuals...

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

Learning Object Metadata is a data model, usually encoded in XML, used to describe a learning object and similar digital resources used to support learning...

Q-learning is a reinforcement learning algorithm that trains an agent to assign values to its possible actions based on its current state, without requiring...

Robert J. - "Dimensions of Learning", Formative Assessment - 2000s Mayer, Richard E. - Multimedia Learning - 2000s Merrill, M. David – Component Display...

objects to solve computer vision problems. For example, M. Mata et al.(2002) applied feature learning techniques to the mobile robot navigation tasks in order...

Learning through play is a term used in education and psychology to describe how a child can learn to make sense of the world around them. Through play...

Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and...

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