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

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

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

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

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...

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...

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

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

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

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

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

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

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...

product or service Learning object Learning sciences – Critical theory of learning Lesson study – Teaching improvement process M-learning – Distance education...

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

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

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...

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...

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

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

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

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...

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

Active learning is "a method of learning in which students are actively or experientially involved in the learning process and where there are different...

In machine learning (ML), a learning curve (or training curve) is a graphical representation that shows how a model's performance on a training set (and...

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....

in-context learning is temporary. Training models to perform in-context learning can be viewed as a form of meta-learning, or "learning to learn". Self-consistency...

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