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the social implications of networked infrastructure such as the railways and the telegraph. More recently, networked learning has its roots in the 1970s
Networked_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
language educators. Connectivism (learning theory) Networked learning Martindale, Trey; Michael Dowdy (2010). "Personal Learning Environments". In George Veletsianos
Personal_learning_network
Subset of artificial intelligence
the field of deep learning have allowed neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance
Machine_learning
Computational model used in machine learning
machine learning, a neural network (NN) or neural net, is a computational model inspired by the structure and functions of biological neural networks. A neural
Neural network (machine learning)
Neural_network_(machine_learning)
Educational software application
TV broadcasts, audio, and videotapes. The earliest networked learning system was the Plato Learning Management system (PLM) developed in the 1970s by Control
Learning_management_system
Use of technology in education to enhance learning and teaching
communication, cyber-learning, and multi-modal instruction, virtual education, personal learning environments, networked learning, virtual learning environments
Educational_technology
Academic journal
IEEE Transactions on Neural Networks and Learning Systems is a monthly peer-reviewed scientific journal published by the IEEE Computational Intelligence
IEEE Transactions on Neural Networks and Learning Systems
IEEE_Transactions_on_Neural_Networks_and_Learning_Systems
Analysis of social structures using network and graph theory
Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures
Social_network_analysis
Class of artificial neural network
Hebbian learning in these networks, and noted that a fully cross-coupled perceptron network is equivalent to an infinitely deep feedforward network. Similar
Recurrent_neural_network
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)
Probabilistic graphical representation of causal relationships
diseases. Efficient algorithms can perform inference and learning in Bayesian networks. Bayesian networks that model sequences of variables (e.g. speech signals
Bayesian_network
Artificial neural network algorithm
artificial neural network's learning rule or learning process is a method, mathematical logic or algorithm which improves the network's performance and/or
Learning_rule
Situation in which two or more people learn or attempt to learn something together
follows: Collaborative networked learning: according to Findley (1987) "Collaborative Networked Learning (CNL) is that learning which occurs via electronic
Collaborative_learning
networks and learning networks: Using social network perspectives to understand social learning." 7th International Conference on Networked Learning.
Social_learning_network
Learning that occurs on each individual student's time
asynchronous learning program. Blended learning E-learning Educational technology Networked learning Synchronous learning Augmented learning Asynchronous
Asynchronous_learning
Group of people cooperating to achieve academic goals
design for networked learning". ALT-J. 14 (3): 211–223. doi:10.1080/09687760600836977. Bonk, C. J; Wisher, R; Nigrelli, M (2004). "Learning Communities
Learning_community
Type of feedforward neural network
neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep learning network has
Convolutional_neural_network
Hardware acceleration unit for artificial intelligence tasks
accelerate artificial intelligence and machine learning applications, including artificial neural networks and computer vision. NPU can be standalone, a
Neural_processing_unit
Theory of learning
the opportunity to utilize other learning tools such as videos, photos, and other digital media. Networked learning, in contrast, is committed to a vision
Situated_learning
Open culture movement
learning, and informal learning Open educational practices Networked learning and connected learning social technologies like renewable assignments Computer-mediated
Open_education
Process by which a person manages knowledge
platforms enable effective information filtering, knowledge sharing, and networked learning. Adaptive hypermedia Card file Commonplace book Drakon-chart Memex
Personal_knowledge_management
Form of active learning
authentic learning can take place[citation needed]. Action learning Critical thinking Design-based learning Discovery learning Networked learning Phenomenon-based
Inquiry-based_learning
Model-free reinforcement learning algorithm
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
Q-learning
using networked personal computers set up by IBM and the university. Students and faculty at the University of Waterloo use IBM PCs networked together
History of virtual learning environments
History_of_virtual_learning_environments
Educational practice of interaction among students
(STS) or other fields. Action learning Andragogy Autodidactism Cooperative learning Learning by teaching Networked learning Peer assessment Peer mentoring
Peer_learning
Education practice
displaying short descriptions of redirect targets Networked learning Synchronous learning – Type of learning event Virtual university – Higher education program
Blended_learning
Deep learning method
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence
Generative adversarial network
Generative_adversarial_network
Student-centered education
Blended learning Flipped learning M-learning Networked learning Distance education Virtual education Virtual university ANTA (2003). Flexible Learning Business
Flexible_learning
Intelligence of machines
to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field
Artificial_intelligence
American multinational pay television channel
satellite television network owned by the Networks division of Warner Bros. Discovery. First established in 1980 as The Learning Channel, it initially
TLC_(TV_network)
Set of learning techniques in machine learning
In machine learning (ML), feature learning or representation learning is a set of techniques that allow a system to automatically discover the representations
Feature_learning
2003 Rumble, Greville (2019). "The Costs and Costing of Networked Learning". Online Learning. 5 (2). doi:10.24059/olj.v5i2.1880. S2CID 10610860. Senthil
Learning_object
Category of learning situation
Informal learning is characterized by a low degree of planning and organizing of the learning context, learning support, learning time, and learning objectives
Informal_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
Formal educational talk
Wayback Machine Fuller, Steve (April 8, 2014). The Lecture 2.0. 13th Networked Learning Conference. Edinburgh University. Retrieved 16 April 2022. Paul, Annie
Lecture
Education service on the web
Dimensions to Self-Directed Learning in an Open Networked Learning Environment" (PDF). International Journal of Self-Directed Learning. 7 (2). Archived from
Massive_open_online_course
Type of artificial neural network
functions (used in radial basis networks, another class of supervised neural network models). In recent developments of deep learning, the rectified linear unit
Feedforward_neural_network
Technique to solve partial differential equations
In machine learning, physics-informed neural networks (PINNs), also referred to as theory-trained neural networks (TTNs), are a type of universal function
Physics-informed neural networks
Physics-informed_neural_networks
Education and training organization based in Oceanside, California
The Quantum Learning Network (QLN) is an education and training organization based in Oceanside, California. Prior to 2005, the organization was known
Quantum_Learning_Network
Class of artificial neural networks
approaches. In the more general subject of "geometric deep learning", certain existing neural network architectures can be interpreted as GNNs operating on
Graph_neural_network
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
Machine learning technique
In machine learning, attention is a method that determines the importance of each component in a sequence relative to the other components in that sequence
Attention_(machine_learning)
Online platform used to build relations
"ResearchGate and Academia.edu as networked socio-technical systems for scholarly communication: a literature review". Research in Learning Technology. 26. doi:10
Social_networking_service
Relationship between proficiency and experience
a learning curve Proficiency (test score)Experience (hours spent)01234503691215Proficiency (test score)Example of a steep learning curve A learning curve
Learning_curve
Paradigm in machine learning that uses no classification labels
Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled
Unsupervised_learning
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
Lifelong Learning Networks (LLNs) were a joint initiative in the UK between the Higher Education Funding Council for England (HEFCE), the Learning and Skills
Lifelong_Learning_Networks
Type of artificial neural network
In machine learning, a neural field (also known as implicit neural representation, neural implicit, or coordinate-based neural network), is a mathematical
Neural_field
Type of educational facility
"Tools for Entertainment or Learning? Exploring Students' and Tutors' Domestication of Mobile Devices", Networked Learning, Cham: Springer International
Learning_commons
Theory that describes how students receive, process, and retain knowledge during learning
Connectivism is a recent theory of networked learning, which focuses on learning as making connections. The Learning as a Network (LaaN) theory builds upon connectivism
Learning_theory_(education)
The National Learning Network (NLN) was a UK national partnership programme designed to increase the uptake of Information Learning Technology (ILT) across
National_Learning_Network
Type of network
θ j {\displaystyle \theta _{j}} , which stays fixed unless changed by learning, an activation function f {\displaystyle f} that computes the new activation
Mathematics of neural networks in machine learning
Mathematics_of_neural_networks_in_machine_learning
Structure in biology and artificial intelligence
In machine learning, an artificial neural network is a mathematical model used to approximate nonlinear functions. Artificial neural networks are used to
Neural_network
purpose, a focus on production, and openly networked infrastructures.[citation needed] Connected learning has been a term used in research since the early
Connected_learning
Parameter controlling the machine learning process
Retrieved 6 April 2018. "Vanschoren, Joaquin, et al. "OpenML: networked science in machine learning." arXiv preprint arXiv:1407.7722 (2014)". arXiv:1407.7722
Hyperparameter (machine learning)
Hyperparameter_(machine_learning)
Real-time interaction for musicians over a computer network
A networked music performance or network musical performance is a real-time interaction over a computer network that enables musicians in different locations
Networked_music_performance
AI's tendency to abruptly and drastically forget old info after learning new info
artificial neural network to abruptly and drastically forget previously learned information upon learning new information. Neural networks are an important
Catastrophic_interference
Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. While the computational implementations of ANNs
History of artificial neural networks
History_of_artificial_neural_networks
American technology company
United States. It is the developer and publisher of Canvas, a web-based learning management system. The company was founded in 2008 by two BYU graduate
Instructure
Process of automating the application of machine learning
Automated machine learning (AutoML) is the process of automating the tasks of applying machine learning to real-world problems. It is the combination
Automated_machine_learning
Machine learning technique
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
Transfer_learning
Statistics and machine learning technique
In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from
Ensemble_learning
Type of activation function
neurons in a network can become stuck in dead states, effectively decreasing the model capacity and potentially even halting the learning process. This
Rectified_linear_unit
Deep learning generative model to encode data representation
In machine learning, a variational autoencoder (VAE) is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling in
Variational_autoencoder
Machine learning paradigm
relying on externally-provided labels. In the context of neural networks, self-supervised learning aims to leverage inherent structures or relationships within
Self-supervised_learning
Technique for setting initial values of trainable parameters in a neural network
In deep learning, weight initialization or parameter initialization describes the initial step in creating a neural network. A neural network contains
Weight_initialization
Overview of and topical guide to open educational resources
supported learning Flexible learning E-learning theory MOOCs Personal learning environments Networked learning Blended learning Virtual learning environment
Outline of open educational resources
Outline_of_open_educational_resources
Machine learning technique
hand, is specific to deep learning, and includes methods that rescale the activation of hidden neurons inside neural networks. Normalization is often used
Normalization (machine learning)
Normalization_(machine_learning)
together to develop the practice of leadership for learning. Leadership for Learning: the Cambridge Network, based in the University of Cambridge Faculty of
Leadership for Learning: the Cambridge Network
Leadership_for_Learning:_the_Cambridge_Network
page is a timeline of machine learning. Major discoveries, achievements, milestones and other major events in machine learning are included. History of artificial
Timeline_of_machine_learning
Mode of delivering education to students who are not physically present
cooperative models based upon networked and connectivist pedagogies for use in self-paced programs. Distance learning can expand access to education
Distance_education
Canadian information studies scholar
Social Networking and Community minitrack at HICSS, and the Learning Analytics and Networked Learning minitrack, now titled Social Media and Learning at the
Caroline_Haythornthwaite
Method of language acquisition
knowledge. Computer mediated communication MMORPG Networked learning Computer-assisted language learning Language socialization across cultures. Bambi B
Social Media Language Learning
Social_Media_Language_Learning
Virtual online communities
progressed from serving as channels for networked communication to becoming interactive platforms for networked social interaction with the advent of Web
Social_media
Range of neurodevelopmental conditions
Learning disability, primarily learning disorder, or learning difficulty (British English) is a condition in the brain that causes difficulties comprehending
Learning_disability
Pedagogical approach
collaborative learning: Towards an analytical model for studying knowledge construction in networked learning settings". Journal of Computer Assisted Learning. 27
Computer-supported collaborative learning
Computer-supported_collaborative_learning
The Caribbean Knowledge and Learning Network (CKLN) is an inter-governmental agency of the Caribbean Community, CARICOM, responsible for developing and
Caribbean Knowledge and Learning Network
Caribbean_Knowledge_and_Learning_Network
Parameter-efficient fine-tuning technique for large language models
gigabytes). The technique applies broadly to any dense layers in deep learning models, though it has been most extensively studied in the context of large
LoRA_(machine_learning)
Plot of machine learning model performance over time or experience
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
Learning curve (machine learning)
Learning_curve_(machine_learning)
LSN (Learning and Skills Network) was an independent not-for-profit organisation in the United Kingdom that provided consulting, outsourcing, research
Learning_and_Skills_Network
Machine learning technique useful for dimensionality reduction
a type of artificial neural network but is trained using competitive learning rather than the error-correction learning (e.g., backpropagation with gradient
Self-organizing_map
Type of feedforward neural network
In deep learning, a multilayer perceptron (MLP) is a kind of modern feedforward neural network consisting of fully connected neurons with nonlinear activation
Multilayer_perceptron
Technique in machine learning
Curriculum learning is a technique in machine learning in which a model is trained on examples of increasing difficulty, where the definition of "difficulty"
Curriculum_learning
Type of artificial neural network
A residual neural network (also referred to as a residual network or ResNet) is a deep learning architecture in which the layers learn residual functions
Residual_neural_network
American technology company
developer had developed an innovative new platform for internet and networked learning called a "Course Management System" by Gilfus. Gilfus as a product
Blackboard_(company)
Computer programming concept
Temporal difference (TD) learning refers to a class of model-free reinforcement learning methods which learn by bootstrapping from the current estimate
Temporal_difference_learning
Machine learning technique where agents learn from demonstrations
multi-agent extensions of IRL in networked systems. Generative Adversarial Imitation Learning (GAIL) uses generative adversarial networks (GANs) to match the distribution
Imitation_learning
Branch of analytics
use of networks and graph theory. It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and
Learning_analytics
American scientist and machine learning expert
machine learning pioneer. He is best known for his 1974 dissertation, which first described the process of training artificial neural networks through
Paul_Werbos
Machine learning that combines deep learning and reinforcement learning
Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem
Deep_reinforcement_learning
Machine learning technique
Mixture of experts (MoE) is a machine learning technique where multiple expert networks (learners) are used to divide a problem space into homogeneous
Mixture_of_experts
Tuning parameter (hyperparameter) in optimization
In machine learning and statistics, the learning rate is a tuning parameter in an optimization algorithm that determines the step size at each iteration
Learning_rate
Machine learning technique
In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
adults across the Glasgow East Learning Network. It also ran a significant youth programme in the networked learning centres, and at the Bridge in Easterhouse
John_Wheatley_College
Theory of learning in a digital age
unknown. Ally recognizes that the world has changed and become more networked, so learning theories developed prior to these global changes are less relevant
Connectivism
Generative adversarial network variant
Adversarial Network (WGAN) is a variant of generative adversarial network (GAN) proposed in 2017 that aims to "improve the stability of learning, get rid
Wasserstein_GAN
Artificial neural network node function
"Dorsal Hand Vein Recognition by Convolutional Neural Networks: Feature Learning and Transfer Learning Approaches" (PDF). International Journal of Intelligent
Activation_function
Problem setup in machine learning
Zero-shot learning (ZSL) is a problem setup in machine learning where, at test time, a learner observes samples from classes which were not observed during
Zero-shot_learning
Trimming artificial neural networks to reduce computational overhead
In deep learning, pruning is the practice of removing parameters from an existing artificial neural network. The goal of this process is to reduce the
Pruning (artificial neural network)
Pruning_(artificial_neural_network)
NETWORKED LEARNING
NETWORKED LEARNING
Girl/Female
Tamil
Learning
Girl/Female
Sikh
Knowledge, Learning
Girl/Female
Tamil
Sarasvati | ஸரஸà¯à®µà®¤à¯€
A Goddess of learning
Sarasvati | ஸரஸà¯à®µà®¤à¯€
Girl/Female
Tamil
Goddess of learning, Saraswati
Girl/Female
Tamil
Vaagdevi | வாகà¯à®¤à¯‡à®µà¯€
Goddess of learning, Saraswati
Vaagdevi | வாகà¯à®¤à¯‡à®µà¯€
Surname or Lastname
English
English : variant of Fretter, an occupational name for a maker of ornaments (especially for the hair) consisting of jewels set in a lattice network, from an agent derivative of Middle English frette, Old French frete ‘interlaced work’.
Girl/Female
Tamil
Goddess of learning, Saraswati
Boy/Male
Tamil
Vidaysagar | விதாயà¯à®¸à®¾à®•à®°
Learning ocean
Vidaysagar | விதாயà¯à®¸à®¾à®•à®°
Girl/Female
Tamil
Vidyasri | விதà¯à®¯à®¾à®¸à®°à¯€
Wisdom, Knowledge, Learning, Goddess Durga
Vidyasri | விதà¯à®¯à®¾à®¸à®°à¯€
Girl/Female
Tamil
Saraswathy | ஸரஸà¯à®µà®¾à®¤à¯€ Â
Goddess Saraswati, Tamil Goddess for education, Goddess of learning
Saraswathy | ஸரஸà¯à®µà®¾à®¤à¯€ Â
Girl/Female
Tamil
Vidhya | விதà¯à®¯à®¾,விதà¯à®¯à®¾Â
Knowledge, Learning
Vidhya | விதà¯à®¯à®¾,விதà¯à®¯à®¾Â
Boy/Male
Indian, Sanskrit
Network of Roots; The Ocean
Girl/Female
Tamil
Goddess of learning, Goddess Saraswati
Girl/Female
Tamil
Saraswathi | ஸரஸà¯à®µà®¾à®¤à¯€Â
Goddess Saraswati, Tamil Goddess for education, Goddess of learning
Saraswathi | ஸரஸà¯à®µà®¾à®¤à¯€Â
Boy/Male
Tamil
Vidyasagar | விதà¯à®¯à®¾à®¸à®¾à®•à®°Â
Ocean of learning
Vidyasagar | விதà¯à®¯à®¾à®¸à®¾à®•à®°Â
Boy/Male
Indian
Excellent, Eminent in learning
Girl/Female
Tamil
Goddess of learning, Saraswati
Girl/Female
Tamil
Saraswati | ஸரஸà¯à®µà®¤à¯€
Goddess Saraswati, Tamil Goddess for education, Goddess of learning
Saraswati | ஸரஸà¯à®µà®¤à¯€
Girl/Female
Tamil
Vidhyavathi | விதà¯à®¯à®¾à®µà®¾à®¤à¯€
Wisdom, Knowledge, Learning, Goddess Durga
Vidhyavathi | விதà¯à®¯à®¾à®µà®¾à®¤à¯€
Surname or Lastname
English, French, German, Hungarian (Donát), Polish, and Czech (Donát)
English, French, German, Hungarian (Donát), Polish, and Czech (Donát) : from a medieval personal name (Latin Donatus, past participle of donare, frequentative of dare ‘to give’). The name was much favored by early Christians, either because the birth of a child was seen as a gift from God, or else because the child was in turn dedicated to God. The name was borne by various early saints, among them a 6th-century hermit of Sisteron and a 7th-century bishop of Besançon, all of whom contributed to the popularity of the baptismal name in the Middle Ages, which was not checked by the heresy of a 4th-century Carthaginian bishop who also bore it. Another bearer was a 4th-century gramMarian and commentator on Virgil, widely respected in the Middle Ages as a figure of great learning.
NETWORKED LEARNING
NETWORKED LEARNING
Girl/Female
Tamil
In flower, Bright as the dawn
Girl/Female
Australian, Kurdish, Swedish
Song; Song of Joy
Girl/Female
Tamil
Boy/Male
Tamil
Davashish | தவாஷீஷ
Blessing of God
Boy/Male
American, Australian, British, English
From the Settlement on the Headland
Boy/Male
Muslim
Good news, Glad tidings
Girl/Female
Italian
Ruling lady.
Girl/Female
Hindu, Indian, Kannada, Malayalam, Marathi, Tamil, Telugu
Prosperous
Surname or Lastname
English
English : habitational name from a place in Derbyshire named Charlesworth, from an Old English personal name Ceafl (or from the Old English word ceafl ‘jaw’, here meaning ‘ravine’) + wor{dh} ‘enclosure’.
Girl/Female
Indian, Tamil
Friend
NETWORKED LEARNING
NETWORKED LEARNING
NETWORKED LEARNING
NETWORKED LEARNING
NETWORKED LEARNING
a.
Resembling network; having the form or appearance of a net; netted; as, a reticulated structure.
n.
The network spread by a spider to catch its prey.
n.
A net or network; a plexus; particularly, a network of blood vessels or nerves, or a part resembling a network.
n.
Any system of lines or channels interlacing or crossing like the fabric of a net; as, a network of veins; a network of railroads.
n.
The act or process of making nets or network, or of forming meshes, as for fancywork, fishing nets, etc.
n.
A network of vessels, nerves, or fibers.
n.
A covering of network for the head, worn by women; also, a net.
v. t.
To make into a net; to make n the style of network; as, to net silk.
n.
The work of a knitter; the network formed by knitting.
a.
Like a net, or network; netted.
a.
Forming a network; characterized by a reticulated sructure.
n.
A network; a plait; a fold; rarely a garment.
v. i.
To form network or netting; to knit.
n.
The act or process of binding or platting with twigs; also, the network so formed.
n.
A confusing and baffling network, as of paths or passages; an intricacy; a labyrinth.
a.
Resembling network; retiform.
n.
The reticular network of fine fibers, of which the nucleus of a cell is in part composed; -- in opposition to kytomiton, or the network in the body of the cell.
n.
A fabric of threads, cords, or wires crossing each other at certain intervals, and knotted or secured at the crossings, thus leaving spaces or meshes between them.
v. t.
Consisting of a network of veins, without intermediate parenchyma, as the leaves of certain plants; latticelike.
a.
Like network; complicated.