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...

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

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

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

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)...

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...

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

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...

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

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

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

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...

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

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...

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

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...

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...

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

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

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

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

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...

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

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...

Phenomenon-based learning is a constructivist form of learning or pedagogy, where students study a topic or concept in a holistic approach instead of...

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