A learning object is "a collection of content items, practice items, and assessment items that are combined based on a single learning objective".[1] The term is credited to Wayne Hodgins, and dates from a working group in 1994 bearing the name.[2] The concept encompassed by 'Learning Objects' is known by numerous other terms, including: content objects, chunks, educational objects, information objects, intelligent objects, knowledge bits, knowledge objects, learning components, media objects, reusable curriculum components, nuggets, reusable information objects, reusable learning objects, testable reusable units of cognition, training components, and units of learning.
The core idea of the use of learning objects is characterized by the following: discoverability, reusability, and interoperability. To support discoverability, learning objects are described by Learning Object Metadata, formalized as IEEE 1484.12 Learning object metadata.[3] To support reusability, the IMS Consortium proposed a series of specifications such as the IMS Content package. And to support interoperability, the U.S. military's Advanced Distributed Learning organization created the Sharable Content Object Reference Model.[4] Learning objects were designed in order to reduce the cost of learning, standardize learning content, and to enable the use and reuse of learning content by learning management systems.[5]
^Cisco Systems, Reusable information object strategy(PDF), archived from the original (PDF) on 2013-05-30
^Gerard, R.W. (1967), "Shaping the mind: Computers in education", In N. A. Sciences, Applied Science and Technological Progress
^IEEE 1484.12 Learning Object Metadata[permanent dead link]
^SCORM 2004 4th Edition Version 1.1 Overview Archived 2011-12-09 at the Wayback Machine
^Downes, Stephen (2001). "Learning Objects: Resources for Distance Education Worldwide". The International Review of Research in Open and Distance Learning. 2. doi:10.19173/irrodl.v2i1.32.
A learningobject is "a collection of content items, practice items, and assessment items that are combined based on a single learning objective". The...
LearningObject Metadata is a data model, usually encoded in XML, used to describe a learningobject 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 (in the mind). This is a fundamental...
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...
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material, also known as teaching/learning materials (TLM), are any collection of materials including animate and inanimate objects and human and non-human resources...
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn...
The North Carolina LearningObject Repository (NCLOR) is a service offered by the North Carolina Community College System (NCCCS), that provides a central...
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...
Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a...
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supported by most Learning Management Systems. This is the current version. It is based on new standards for API and content object-to-runtime environment...
boundary object, a situation that exacerbated cross-disciplinary frictions. Alex Juhasz and Anne Balsamo evoke the idea of learningobjects (drawn from...
Mani; Macready, William G. (2019-11-18). "A Robust Learning Approach to Domain Adaptive Object Detection". arXiv:1904.02361 [cs.LG]. Soviany, Petru;...
Learning styles refer to a range of theories that aim to account for differences in individuals' learning. Although there is ample evidence that individuals...
Neural Networks (R-CNN) are a family of machine learning models for computer vision and specifically object detection. The original goal of R-CNN was to...
Chan, Rosa H.M. (2019-11-15). "OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning". arXiv:1911.06487v2 [cs.CV]. Morozov...
Visual learning is a learning style among the learning styles of Neil Fleming's VARK model in which information is presented to a learner in a visual...
first message to travel across ARPANET, later to become the internet Learningobject, in education and data management Left only, the left channel of the...