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Search references for LEARNING OBJECT. Phrases containing LEARNING OBJECT
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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
Data model
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
Learning_object_metadata
Educational software application
programs, materials, or learning and development programs. The learning management system concept emerged directly from e-Learning. Learning management systems
Learning_management_system
Connecting learning objects to instructional design theory D Wiley, 2000 Instructional use of learning objects (D Wiley, 2000) Learning object design and
David_A._Wiley
Cognitive scientist
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
Barbara_Landau
Understanding that objects exist when unobserved
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
Object_permanence
Process of acquiring new knowledge
Learning is the process of acquiring new understanding, knowledge, behavior, skills, values, attitudes, and preferences. The ability to learn is possessed
Learning
Use of technology in education to enhance learning and teaching
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
Educational_technology
Sociology of information science
boundary object, a situation that exacerbated cross-disciplinary frictions. Alex Juhasz and Anne Balsamo evoke the idea of learning objects (drawn from
Boundary_object
The North Carolina Learning Object Repository (NCLOR) is a service offered by the North Carolina Community College System (NCCCS), that provides a central
North Carolina Learning Object Repository
North_Carolina_Learning_Object_Repository
Subset of artificial intelligence
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn
Machine_learning
Ensemble learning method
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
Boosting_(machine_learning)
Machine learning algorithm
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
Viola–Jones object detection framework
Viola–Jones_object_detection_framework
Software testing activity
to evaluate the learning potential from the produced learning objects, as well as to demonstrate the possibility of learning object reuse. Results from
Stress_testing_(software)
Computerized information extraction from images
reconstruction, object detection, event detection, activity recognition, video tracking, object recognition, 3D pose estimation, learning, indexing, motion
Computer_vision
Type of individual or organizational learning
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
Just-in-time_learning
Incremental MOdel Learning) approaches the problem of learning object categories from online image searches by addressing model learning and searching simultaneously
Object categorization from image search
Object_categorization_from_image_search
Topical guide to object recognition
Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a
Outline_of_object_recognition
Metaphysics concept covering the divide between two types of entities
describe two different types of learning. Concrete thinking involves facts and descriptions about everyday, tangible objects, while abstract (formal operational)
Abstract_and_concrete
Object categorization problem
object categorization. Whereas most machine learning classification methods require training on hundreds or thousands of examples, one-shot learning aims
One-shot learning (computer vision)
One-shot_learning_(computer_vision)
Machine learning paradigm
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
Supervised_learning
Branch of machine learning
In machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation
Deep_learning
learning cell". www.slideshare.net. 20 July 2011. Yu, Shengquan; Yang, Xianmin; Cheng, Gang; Wang, Minjuan (2015). "From learning object to learning cell:
Learning_cell
Programming paradigm based on objects
quotations related to Object-orientation. Wikiversity has learning resources about Object-oriented programming at Topic:Object-Oriented Programming Wikibooks
Object-oriented_programming
Management system
Newer versions of AIM include the Content Planning Module (CPM) and Learning Object (LO) Module. The modules incorporate data from the Job Duty Task Analysis
Authoring Instructional Materials
Authoring_Instructional_Materials
Machine learning for robots
skills that are targeted by learning algorithms include sensorimotor skills such as locomotion, grasping, active object categorization, as well as interactive
Robot_learning
Computer technology related to computer vision and image processing
and videos. Well-researched domains of object detection include face detection and pedestrian detection. Object detection has applications in many areas
Object_detection
Artificial intelligence model developed by TypeSafe AI
Like generative pretrained transformer models, it can perform zero-shot learning of input for categories provided at inference time, based on contextual
Jev_(AI_model)
Theories that aim to account for differences in individuals' learning
Learning styles refer to a range of theories that aim to account for differences in individuals' learning. Although there is ample evidence that individuals
Learning_styles
Norwegian computer scientist
Developing Web-Based Learning Resources in School Education: A User-Centered Approach. Interdisciplinary Journal of E-Learning and Learning Objects, Volume 6, pp
Said_Hadjerrouit
Materials used to impart knowledge
materials, learning materials, or teaching/learning materials (TLM), are any collection of materials including animate and inanimate objects and human
Instructional_materials
Field of machine learning
Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. While supervised learning and
Reinforcement_learning
Deep learning software
machine learning library, a scientific computing framework, and a scripting language based on Lua. It provides LuaJIT interfaces to deep learning algorithms
Torch_(machine_learning)
Topics referred to by the same term
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
Lo
Topics referred to by the same term
by aircraft Learning object metadata, defined as the attributes required to fully or adequately describe a learning object Laminated object manufacturing
Lom
Free and open source, web-based image and video annotation tool
annotation tasks. CVAT supports the primary tasks of supervised machine learning: object detection, image classification, and image segmentation. CVAT allows
Computer Vision Annotation Tool
Computer_Vision_Annotation_Tool
Standard for e-learning
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
Sharable Content Object Reference Model
Sharable_Content_Object_Reference_Model
Identifiable collection of matter
In natural language and physical science, a physical object or material object (or simply an object or body) is a collection of matter, usually contiguous
Physical_object
Online repository and international consortium of institutions
e-Learning and Learning Objects. 7: 323–338. doi:10.28945/1527. Cochrane, Thomas (November 2007). "Developing interactive multimedia Learning Objects using
MERLOT
Machine learning model family
neural networks (R-CNN) are a family of machine learning models for computer vision, and specifically object detection and localization. The original goal
Region-based convolutional neural network
Region-based_convolutional_neural_network
Generic Object Recognition in Images". cs.nyu.edu. Retrieved 2025-04-26. LeCun, Y.; Fu Jie Huang; Bottou, L. (2004). "Learning methods for generic object recognition
List of datasets in computer vision and image processing
List_of_datasets_in_computer_vision_and_image_processing
Term used in cognitive psychology
comparing the novel object to environmental stimuli. A study conducted by Yu & Ballard (2007), introduced cross-situational learning, a method based on
Fast_mapping
2006 book
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
Intermediate_Perl
Ability to think about and use concepts to deal adequately with a subject
an abstract or physical object, such as a person, situation, or message whereby one is able to use concepts to model that object. Understanding is a relation
Understanding
Type of optical illusion
representing a projection of a three-dimensional object but cannot exist as a solid object. Impossible objects are of interest to psychologists, mathematicians
Impossible_object
Term in educational psychology
imposed restrictions. In a concept learning task, a human classifies objects by being shown a set of example objects along with their class labels. The
Concept_learning
The Ontario Educational Resource Bank (OERB) is a learning object repository (LOR) that has been available since December, 2006. It contains resources
Ontario Educational Resource Bank
Ontario_Educational_Resource_Bank
Function that is tied to a particular instance or class
A method in object-oriented programming (OOP) is a procedure associated with an object, and generally also a message. An object consists of state data
Method_(computer_programming)
Algorithm for modelling sequential data
In deep learning, the transformer is a family of artificial neural network architectures based on the multi-head attention mechanism, in which input data
Transformer_(deep_learning)
American roboticist and entrepreneur
supervised learning of the affordances of objects in the environment, and showed that the combination of both self and supervised learning allows for
Vivian_Chu
Process in early language acquisition
turn, explains how the whole object bias reflects the non-linguistic status of objects. It is unclear if the word-learning constraints are specific to
Word_learning_biases
Family of machine learning techniques
difficulty. In many learning problems the number of negative examples vastly exceeds the number of positives. In sliding-window object detection, a single
Hard_negative_mining
Item used to provide psychological comfort
A comfort object, more formally a transitional object or attachment object, is an item used to provide psychological comfort, especially in unusual or
Comfort_object
used in a global context. Some examples of GIS are SAP, The Global Learning Objects Brokered Exchange and other systems. There are a variety of definitions
Global_information_system
American Professor of Psychology
kinds (i.e., duck and ball). Furthermore, learning words for object kinds may play a critical role in object individuation and the developmental of kind
Fei_Xu
Problem setup in machine learning
unseen. Zero shot learning has been applied to the following fields: image classification semantic segmentation image generation object detection natural
Zero-shot_learning
Professor (1965–2016)
Principles and Practicalities 2002, IEEE Standard for learning object metadata 2002, Reusable learning objects: a survey of LOM-based repositories 2001, The Ariadne
Erik_Duval
Observation or interaction with another animal
Social learning refers to learning that is facilitated by observation of, or interaction with, another animal or its products. Social learning has been
Social_learning_in_animals
Learning that occurs through observing the behaviour of others
Observational learning is learning that occurs through observing the behavior of others. It is a form of social learning which takes various forms, based
Observational_learning
Educational tool for learning object-oriented programming
educational tool for learning object-oriented programming concepts. In particular, the program helps learning concepts such as objects, methods and basic
Jeroo
Sexual activity that involves inserting a person's body part into another person
penetrative use of objects. Penile-vaginal intercourse Sex and the law Starr, Cecie; McMillan, Beverly (2008). Human Biology. Cengage Learning. p. 314. ISBN 978-0495561811
Sexual_penetration
Academic journal
social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects. According to the Journal Citation
IEEE Transactions on Learning Technologies
IEEE_Transactions_on_Learning_Technologies
Detecting small objects in digital images
Small object detection is a particular case of object detection where various techniques are employed to detect small objects in digital images and videos
Small_object_detection
Decentralized machine learning
Federated learning (also known as collaborative learning) is a machine learning technique in a setting where multiple entities (often called clients)
Federated_learning
Scottish charitable organization
standards and Learning object metadata, allowing interoperability with other systems. In particular the intention was that multimedia learning objects could be
Iriss
Spanish digital repository
Each educational authority will have its own repository of curricular learning objects created according to educational standards, and each single repository
Agrega
Machine learning methods using multiple input modalities
Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images
Multimodal_learning
learning technology oriented) search systems like Lionshare, Merlot, Edna, NIME, etc. The ARIADNE Knowledge Pool System distributed learning object repository
Ariadne_(software)
Theory of cognitive development
Susan M. (2015-05-05). "Domain general learning: Infants use social and non-social cues when learning object statistics". Frontiers in Psychology. 6:
Domain-general_learning
e-Learning through support for student and web services, faculty development, statewide licensing, and sharing resources, including a learning object repository
Florida Distance Learning Consortium
Florida_Distance_Learning_Consortium
Public community college system in North Carolina, United States
provides the North Carolina Learning Object Repository as a central location to manage, collect, contribute, and share digital learning resources for use in
North Carolina Community College System
North_Carolina_Community_College_System
to apply learning about one object (e.g. Rex bit me) to new instances of that category (dogs may bite). Many animals readily classify objects by perceived
Animal_cognition
Extension of Rexx programming language with support for object-oriented programming
Object REXX is a high-level, general-purpose, interpreted, object-oriented (class-based) programming language. Today it is generally referred to as ooRexx
Object_REXX
Machine-learning process
objects. More generally, grammatical inference is that branch of machine learning where the instance space consists of discrete combinatorial objects
Grammar_induction
a word learning constraint that involves the tendency to assign one label/name, and in turn avoid assigning a second label, to a single object. Mutual
Mutual exclusivity (psychology)
Mutual_exclusivity_(psychology)
International standard
Dublin Core (DC) and the IEEE 1484.12.1-2002 Learning Object Metadata (LOM) are widely used to describe learning resources. However, interoperability among
ISO/IEC_19788
Computational model used in machine learning
In machine learning, a neural network (NN) or artificial neural network (ANN) is a computational model inspired by the structure and functions of biological
Neural network (machine learning)
Neural_network_(machine_learning)
Paradigm in machine learning that uses no classification labels
is very hazy. For example, object recognition favors supervised learning but unsupervised learning can also cluster objects into groups. Furthermore, as
Unsupervised_learning
Supervised learning of a similarity function
setups for similarity and metric distance learning. Regression similarity learning In this setup, pairs of objects are given ( x i 1 , x i 2 ) {\displaystyle
Similarity_learning
Intelligence in machines
approach failed on many tasks that humans solve easily, such as learning, recognising an object or commonsense reasoning. Moravec's paradox is the discovery
Artificial_intelligence
Canadian academic
the Implementation of Learning Object Metadata., Athabasca University. Friesen, N. (2004). Three Objections to Learning Objects. In McGreal, R. (ed.)
Norm_Friesen
3D reconstruction technique
about half the size of ray-based NeRF. In 2021, researchers applied meta-learning to assign initial weights to the MLP. This rapidly speeds up convergence
Neural_radiance_field
Learning style
Visual learning is one of the learning styles in which information is primarily received and understood by a learner when presented in a visual format
Visual_learning
Image dataset
in visual object recognition software research. More than 14 million images have been hand-annotated by the project to indicate what objects are pictured
ImageNet
Process for design and development of learning resources
product or service Learning object Learning sciences – Study of how people learn Lesson study – Teaching improvement process M-learning – Distance education
Instructional_design
Extraction of information from images via digital image processing techniques
likely. Classification then can be performed at object levels, using various statistics of the objects as features in the classifier. Statistics can include
Image_analysis
Neural network working on two input vectors
for Object Tracking" (PDF). "Learning Dynamic Siamese Network for Visual Object Tracking" (PDF). "A Twofold Siamese Network for Real-Time Object Tracking"
Siamese_neural_network
Machine learning algorithm
kind of object equipped with pairwise dissimilarities such as categorical sequences. Decision trees are among the most popular machine learning algorithms
Decision_tree_learning
Process supporting machine learning
entertainment. By accurately labelling data, machine learning models can perform complex tasks such as object detection, sentiment analysis, and speech recognition
Data_annotation
Technique in machine learning
pre-training Image recognition: Facial recognition Object detection Reinforcement learning: Game-playing Graph learning Matrix factorization Guo, Sheng; Huang, Weilin;
Curriculum_learning
Set of learning techniques in machine learning
In machine learning (ML), representation learning or feature learning is a set of techniques that allow a system to automatically discover the representations
Representation_learning
Study of intelligence in birds
"Early-life nutritional stress affects associative learning and spatial memory but not performance on a novel object test". Behaviour. 152 (2): 195–218. doi:10
Bird_intelligence
Research laboratory at MIT
The Center for Biological & Computational Learning is a research lab at the Massachusetts Institute of Technology. CBCL was established in 1992 with support
Center for Biological and Computational Learning
Center_for_Biological_and_Computational_Learning
Subdiscipline of artificial intelligence
Statistical relational learning (SRL) is a subdiscipline of artificial intelligence and machine learning that is concerned with domain models that exhibit
Statistical relational learning
Statistical_relational_learning
Deep neural network for image classification, released 2016
Caffe deep learning software framework. Shortly thereafter, the open-source research community ported SqueezeNet to a number of other deep learning frameworks
SqueezeNet
Objects from real life used in classroom instruction
realia (/riːˈeɪlɪə/) are objects from real life used in classroom instruction by educators to improve students' learning. A teacher of a foreign language
Realia_(education)
Concept in data management
resource. Another is software system knowledge extraction of software objects such as data flows, control flows, call maps, architectures, business rules
Metadata_standard
Algorithm that selects actions for intelligent agents
Selection Algorithms: An Overview "The GoF Design Patterns Memory - Learning Object-Oriented Design & Programming". w3sDesign. Retrieved 2026-10-26. "Strategy
Behavior_selection_algorithm
E-learning software specification
Team-based e-learning Tracking learning plans and goals The Experience API spec is open source. xAPI uses a Restful web service with JavaScript Object Notation
Experience_API
Spanish conductor and composer
the Universidad de Cádiz institutional repository of Research and Learning Objects (RODIN). Giménez was born in Seville. A son of the Granada musician
Gerónimo_Giménez
travel, tourism, insurance
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LEARNING OBJECT
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LEARNING OBJECT
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LEARNING OBJECT
travel, tourism, insurance