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

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...

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

Object permanence is the understanding that whether an object can be sensed has no effect on whether it continues to exist. This is a fundamental concept...

Connecting learning objects to instructional design theory D Wiley, 2000 Instructional use of learning objects (D Wiley, 2000) Learning object design and...

O'Reilly Media. It was released as a retitled second edition of Learning Perl Objects, References & Modules (ISBN 0-596-00478-8) by Schwartz and Phoenix...

feature extraction, learning a classifier, and applying the classifier to new examples. There are many ways to represent a category of objects, e.g. from shape...

that in-lab learning has on later learning. In general, learning names for objects means paying attention to the right properties of the object. For instance...

Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. The ability to learn is possessed...

to evaluate the learning potential from the produced learning objects, as well as to demonstrate the possibility of learning object reuse. Results from...

embedded in objects, is all around the learner, who may not even be conscious of the learning process. The combination of adaptive learning, using an individualized...

The North Carolina Learning Object Repository (NCLOR) is a service offered by the North Carolina Community College System (NCCCS), that provides a central...

learning technology oriented) search systems like Lionshare, Merlot, Edna, NIME, etc. The ARIADNE Knowledge Pool System distributed learning object repository...

Object-oriented programming (OOP) is a programming paradigm based on the object – a software entity that encapsulates data and functionality. An OOP program...

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

by aircraft Learning object metadata, defined as the attributes required to fully or adequately describe a learning object Laminated object manufacturing...

The Viola–Jones object detection framework is a machine learning object detection framework proposed in 2001 by Paul Viola and Michael Jones. It was motivated...

Robin; Pegler, Chris; Weller, Martin (2019-03-19). "A Learning Object Success Story". Online Learning. 9 (1). doi:10.24059/olj.v9i1.1805. ISSN 2472-5730...

materials, learning materials, or teaching/learning materials (TLM), are any collection of materials including animate and inanimate objects and human...

Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a...

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

annotation tasks. CVAT supports the primary tasks of supervised machine learning: object detection, image classification, and image segmentation. CVAT allows...

In machine learning, supervised learning (SL) is a type of machine learning paradigm where an algorithm learns to map input data to a specific output based...

reconstruction, object detection, event detection, activity recognition, video tracking, object recognition, 3D pose estimation, learning, indexing, motion...

first message to travel across ARPANET, later to become the internet Learning object, in education and data management Left only, the left channel of the...

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

including within a Virtual Learning Environment (VLE). To facilitate this, all NLN materials have been packaged as Scorm Learning Objects, with metadata. Most...

was changed to Cengage Learning on July 24, 2007. In 2007, Cengage Learning sold Peterson's to Nelnet. In 2011, Cengage Learning acquired the National...

Small object detection is a particular case of object detection where various techniques are employed to detect small objects in digital images and videos...

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