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
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
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
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
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
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
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
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
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
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)
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
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
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
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
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
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
Computer technology related to computer vision and image processing
Mani; Macready, William G. (2019-11-18). "A Robust Learning Approach to Domain Adaptive Object Detection". arXiv:1904.02361 [cs.LG]. Soviany, Petru;
Object_detection
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
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
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
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
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)
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
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
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
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
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
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
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 text is
Transformer_(deep_learning)
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
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
Largely debunked 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
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
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
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
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
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
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
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
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
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
American educational products company
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
Cengage_Group
Theory of learning
Situated learning is a theory that explains an individual's acquisition of professional skills and includes research on apprenticeship into how legitimate
Situated_learning
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
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 Networks
Region_Based_Convolutional_Neural_Networks
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
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
Method of teaching in which students teach the subject to each other
plastic platypus learning or platypus learning technique. This technique is based on evidence that show that teaching an inanimate object improves understanding
Learning_by_teaching
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
Canadian academic
the Implementation of Learning Object Metadata., Athabasca University. Friesen, N. (2004). Three Objections to Learning Objects. In McGreal, R. (ed.)
Norm_Friesen
learning technology oriented) search systems like Lionshare, Merlot, Edna, NIME, etc. The ARIADNE Knowledge Pool System distributed learning object repository
Ariadne_(software)
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)
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
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
Open learning resource
world, as well as an OER authoring tool called Open Author. The term "learning object" was coined in 1994 by Wayne Hodgins and quickly gained currency among
Open_educational_resources
Computational model used in machine learning
In machine learning, a neural network (NN) or neural net, is a computational model inspired by the structure and functions of biological neural networks
Neural network (machine learning)
Neural_network_(machine_learning)
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
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
Topics referred to by the same term
international construction company LiveonRelease, an all girl punk rock band Learning object repository Letter of recommendation Letter of reprimand Lord of the
Lor
Tasks in machine learning
In machine learning, a common task is the study and construction of algorithms that can learn from and make predictions on data. Such algorithms function
Training, validation, and test data sets
Training,_validation,_and_test_data_sets
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
Non-standard material used in work of art
A found object (a calque from the French objet trouvé), or found art, is art created from undisguised, but often modified, items or products that are not
Found_object
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
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
Bias confirming existing attitudes
Grobman Confirmation bias at You Are Not So Smart Confirmation bias learning object – interactive number triples exercise by Rod McFarland for Simon Fraser
Confirmation_bias
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
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)
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
Overview of and topical guide to deep learning
learning Multitask learning Multimodal learning Online machine learning Continual learning Image classification Object detection Image segmentation Automatic
Outline_of_deep_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
Type of database that uses vectors to represent other data
range of machine learning applications including similarity search, semantic search, multi-modal search, recommendations engines, object detection, and
Vector_database
Observation or interaction with another animal
of distinct social learning processes, including object movement re-enactment, end-state emulation, and affordance learning. Object movement re-enactment
Social_learning_in_animals
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
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
Overview of and topical guide to machine learning
is provided as an overview of, and topical guide to, machine learning: Machine learning (ML) is a subfield of artificial intelligence within computer
Outline_of_machine_learning
Influential 2012 deep convolutional neural network
Recognition Challenge (ILSVRC). It classifies images into 1,000 distinct object categories and is regarded as the first widely recognized application of
AlexNet
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
Intelligence of machines
approach failed on many tasks that humans solve easily, such as learning, recognizing an object or commonsense reasoning. Moravec's paradox is the discovery
Artificial_intelligence
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
Kejun Ning and Babette Dellen and Florentin Wörgötter (2011). "Learning the semantics of object action relations by observation". The International Journal
Object_Action_Complex
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
Type of associative learning process for behavioral modification
(1983). "Rats' responses to a moving object related to food or water: A behavior-systems analysis". Animal Learning & Behavior. 11 (3): 309–320. doi:10
Operant_conditioning
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
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
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
Software development methodology
Object-oriented analysis and design (OOAD) is an approach to analyzing and designing a computer-based system by applying an object-oriented mindset and
Object-oriented analysis and design
Object-oriented_analysis_and_design
Machine learning paradigm
other transformations. Self-supervised learning more closely imitates the way humans learn to classify objects. During SSL, the model learns in two steps
Self-supervised_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
Image classification model
researchers have developed several learning methods to leverage the BoW model for image related tasks, such as object categorization. These methods can
Bag-of-words model in computer vision
Bag-of-words_model_in_computer_vision
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
Healthcare-related learning management system
Reporting System (PARS) web service. The EthosCE Course object API can be used to define learning objects to be added to a workflow with built in support for
EthosCE
Research field
when each student accessed each learning object, how many times they accessed it, and how many minutes the learning object was displayed on the user's computer
Educational_data_mining
Object detection system
You Only Look Once (YOLO) is a series of real-time object detection systems based on convolutional neural networks. First introduced by Joseph Redmon et
You_Only_Look_Once
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
birds. To study auditory learning and memory, songbirds can be used. To study more complex systems such as motor learning, object recognition, short term
Methods_used_to_study_memory
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
LEARNING OBJECT
LEARNING OBJECT
Biblical
learning
Surname or Lastname
English
English : variant of Leeming.
Surname or Lastname
English
English : variant spelling of Lanning.
Girl/Female
Tamil
Learning
Girl/Female
Gujarati, Hindu, Indian
Learning
Boy/Male
Hindu
Learning ocean
Boy/Male
Tamil
Vidaysagar | விதாயà¯à®¸à®¾à®•à®°
Learning ocean
Vidaysagar | விதாயà¯à®¸à®¾à®•à®°
Surname or Lastname
English
English : unexplained.
Surname or Lastname
English
English : patronymic from a Germanic personal name beginning with the element gÄ“r, gÄr ‘spear’ (see Geary 2).Probably an Americanized spelling of German Gehring.
Girl/Female
Sikh
Knowledge, Learning
Biblical
ploughing plough or till
Girl/Female
Biblical
Learning.
Surname or Lastname
English
English : variant spelling of Waring.
Surname or Lastname
English (Dorset and Somerset)
English (Dorset and Somerset) : unexplained.Dutch : patronymic from a short form of the personal name Julianus (see Julian).
Surname or Lastname
English
English : habitational name from Feering, a village in Essex, named from the Old English personal name Fēra + -ingas ‘people of’, i.e. ‘(settlement of) Fēra’s people’.Americanized spelling of German Viering, a topographic name for someone from a swampy area, from a derivative of Germanic vir ‘bog’, ‘swamp’, or a variant of Fehring 2.
Surname or Lastname
English
English : unexplained. Probably a respelling of Irish Hearon.Possibly also an altered form of German Haering (see Hering).
Surname or Lastname
English
English : patronymic from Dear 1.Americanized spelling of German Diering, a variant of Döring (see Doering).
Girl/Female
Tamil
Vidhya | விதà¯à®¯à®¾,விதà¯à®¯à®¾Â
Knowledge, Learning
Vidhya | விதà¯à®¯à®¾,விதà¯à®¯à®¾Â
Girl/Female
Hindu
Learning
Girl/Female
Arabic, Muslim, Parsi
Learning; Wisdom
LEARNING OBJECT
LEARNING OBJECT
Boy/Male
Muslim/Islamic
Chastity sacred
Boy/Male
British, English, German
Near the Barns
Boy/Male
Hindu
Female
Polish
Hawaiian and Polish form of Greek Eva, EWA means "life."
Boy/Male
Australian, Christian, Irish
Little Bright Headed One
Girl/Female
Hindu, Indian, Telugu
First Month of the Year; Spring; New Bright Light
Girl/Female
Hebrew Greek English Teutonic German
From Elisheba, meaning either oath of God, or God is satisfaction.
Boy/Male
Indian, Sanskrit
Sovereign Lord of All
Male
Iranian/Persian
Variant spelling of Persian Bahram, BEHRAM means "smiter of resistance" or "victorious."
Girl/Female
Muslim/Islamic
Administrator
LEARNING OBJECT
LEARNING OBJECT
LEARNING OBJECT
LEARNING OBJECT
LEARNING OBJECT
n.
That which is meant or intended; intent; purpose; aim; object; as, a mischievous meaning was apparent.
a.
Giving previous notice; cautioning; admonishing; as, a warning voice.
n.
The act of gathering after reapers; that which is collected by gleaning.
n.
That which is signified, whether by act lanquage; signification; sence; import; as, the meaning of a hint.
n.
The act, or state, of inclining; inclination; tendency; as, a leaning towards Calvinism.
n.
The act or power of perceiving sound; perception of sound; the faculty or sense by which sound is perceived; as, my hearing is good.
a.
Pertaining to, or designed for, wear; as, wearing apparel.
n.
The act, power, or time of producing or giving birth; as, a tree in full bearing; a tree past bearing.
n.
A pilgrim bearing or wearing a cross.
n.
Improperly, the unsupported span; as, the beam has twenty feet of bearing between its supports.
n.
A line for hauling the reef cringle to the yard; -- also called reef earing.
n.
The gross amount of the balances adjusted in the clearing house.
n.
Purport; meaning; intended significance; aspect.
a.
Guiding; directing; controlling; foremost; as, a leading motive; a leading man; a leading example.
n.
Attention to what is delivered; opportunity to be heard; audience; as, I could not obtain a hearing.
pl.
of Earning
n.
The knowledge or skill received by instruction or study; acquired knowledge or ideas in any branch of science or literature; erudition; literature; science; as, he is a man of great learning.
n.
The parts by which motion imparted to one portion of an engine or machine is transmitted to another, considered collectively; as, the valve gearing of locomotive engine; belt gearing; esp., a train of wheels for transmitting and varying motion in machinery.
n.
The situation of a distant object, with regard to a ship's position, as on the bow, on the lee quarter, etc.; the direction or point of the compass in which an object is seen; as, the bearing of the cape was W. N. W.
n.
The acquisition of knowledge or skill; as, the learning of languages; the learning of telegraphy.