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Distance education using mobile device technology
M-learning, or mobile learning, is a form of distance education or technology enhanced active learning where learners use portable devices such as mobile
M-learning
Process of acquiring new knowledge
Electronic learning or e-learning is computer-enhanced learning. A specific and always more diffused e-learning is mobile learning (m-learning), which uses
Learning
Use of technology in education to enhance learning and teaching
encompasses several domains, including learning theory, computer-based training, online learning, and mobile learning (m-learning). The Association for Educational
Educational_technology
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
Mode of delivering education to students who are not physically present
(distributed learning, e-learning, m-learning, virtual classroom, etc.) are used roughly synonymously with distance education. E-learning has shown to
Distance_education
Extensional term for information technology
a yearly symposium called Mobile Learning Week with the purpose of gathering stakeholders to discuss the M-learning initiative. Implementation is not
Information and communications technology
Information_and_communications_technology
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
Language learning technique
both Mobile Learning (m-learning) and computer-assisted language learning (CALL). MALL has evolved to support students’ language learning with the increased
Mobile-assisted language learning
Mobile-assisted_language_learning
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
Education practice
Blended learning or hybrid learning, also known as technology-mediated instruction, web-enhanced instruction, or mixed-mode instruction, is an approach
Blended_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
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
e-learning platforms in the country have also opened in recent years. The introduction of 3G/4G technology has contributed to the growth in m-learning (mobile
E-learning_in_Pakistan
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
realise that M-learning is more than just using a mobile device for E-Learning and requires a different approach. To utilize M-Learning efficiently, it
Offline_mobile_learning
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
Student-centered education
Blended learning Flipped learning M-learning Networked learning Distance education Virtual education Virtual university ANTA (2003). Flexible Learning Business
Flexible_learning
Algorithm for modelling sequential data
m ( 1 ) , x m ( 2 ) , m ) = ( cos m θ − sin m θ sin m θ cos m θ ) ( x m ( 1 ) x m ( 2 ) ) = ( x m ( 1 ) cos m θ − x m ( 2 ) sin m θ x m (
Transformer_(deep_learning)
Concept in education
The learning pyramid (also known as “the cone of learning”, “the learning cone”, “the cone of retention”, “the pyramid of learning”, or “the pyramid of
Learning_pyramid
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
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
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
Branch of analytics
Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and
Learning_analytics
Machine learning technique where agents learn from demonstrations
Imitation learning is a paradigm in reinforcement learning, where an agent learns to perform a task by supervised learning from expert demonstrations
Imitation_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
Framework in machine learning
In machine learning and computer vision, M-theory is a learning framework inspired by feed-forward processing in the ventral stream of visual cortex and
M-theory_(learning_framework)
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)
Concept in education and psychology
Learning through play is a term used in education and psychology to describe how a child can learn to make sense of the world around them. Through play
Learning_through_play
Small, hand-held computing device
ISBN 9781317660798. Sandars, J. E.; G. S. Frith (2013). "Mobile learning (m-learning)". In John Dent; Ronald M. Harden (eds.). A Practical Guide for Medical Teachers
Mobile_device
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)
School complex in Los Angeles, California
Sonia M. Sotomayor Learning Academies is a complex of high schools and one middle school choice in Los Angeles, California. It is a part of the Los Angeles
Sonia Sotomayor Learning Academies
Sonia_Sotomayor_Learning_Academies
Learner centric pedagogy
Phenomenon-based learning is a constructivist form of learning or pedagogy, where students study a topic or concept in a holistic approach instead of
Phenomenon-based_learning
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
Facilitating Reflective Learning Through Mentoring & Coaching. London: Kogan Page Publishers. pp. 27. ISBN 0749444487. Boyd, Evelyn M.; Fales, Ann W. (1983)
Reflective_learning
E-learning platform
open-source learning management system written in PHP and distributed under the GNU General Public License. Moodle is used for blended learning, distance
Moodle
Theory and philosophy of learning
action learning, adventure learning, free-choice learning, cooperative learning, service-learning, and situated learning. Experiential learning is often
Experiential_learning
Artificial neural network algorithm
machine learning: supervised learning, unsupervised learning, and reinforcement learning. A lot of the learning methods in machine learning work similar
Learning_rule
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
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
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
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
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
Process of learning better perception skills
Perceptual learning is the learning of perception skills, such as differentiating two musical tones from one another or categorizations of spatial and
Perceptual_learning
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
Type of learning powerful enough to revise worldview and self-perception
Transformative learning, as a theory, says that the process of "perspective transformation" has three dimensions: psychological (changes in understanding
Transformative_learning
Educational learning method using computer algorithms and AI
Adaptive learning, also known as adaptive teaching, is an educational method which uses computer algorithms as well as artificial intelligence to orchestrate
Adaptive_learning
Authoring tool used for creating eLearning content
Adobe Captivate is an authoring tool that is used for creating eLearning content such as software demonstrations, software simulations, branched scenarios
Adobe_Captivate
Structuring text as input to generative artificial intelligence
in-context learning is temporary. Training models to perform in-context learning can be viewed as a form of meta-learning, or "learning to learn". Research
Prompt_engineering
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
Instructional strategy and educational philosophy
Mastery learning is an instructional strategy and educational philosophy that emphasizes the importance of students achieving a high level of competence
Mastery_learning
arena for constructivist learning. The Adobe Atmosphere software platform was also used to promote language learning in the Babel-M project (Williams & Weetman
Virtual world language learning
Virtual_world_language_learning
US government R&D program
Advanced Digital Learning (ADL) Initiative is a US government program that conducts research and development on distributed learning and coordinates related
Advanced_Distributed_Learning
Type of approach to problem solving
Action Learning is an approach to problem solving that involves taking action and reflecting upon the results. This method is purported to help improve
Action_learning
Unintentional learning of complex information
Implicit learning is the learning of complex information in an unintentional manner, without awareness of what has been learned. According to Frensch and
Implicit_learning
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)
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
Learning with the use of more than one sense
Multisensory learning is the assumption that individuals learn better if they are taught using more than one sense (modality). The senses usually employed
Multisensory_learning
Connected learning is a type of learning in which a young person pursues a personal interest with friends and adults. This learning method is linked to
Connected_learning
Pedagogy combining learning objectives with community service
Service-learning is an educational approach that uses community service to meet both classroom learning objectives and societal needs. It has been used
Service-learning
Learning style
Visual learning is one of the learning styles in which information is presented to a learner in a visual format. Visual learners can utilize graphs, charts
Visual_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
Educational approach which arranges students into cooperative groups
Cooperative learning is an educational approach which aims to organize classroom activities into academic and social learning experiences. There is much
Cooperative_learning
Ongoing, voluntary, and self-motivated pursuit of knowledge
Lifelong learning is the "ongoing, voluntary, and self-motivated" pursuit of learning for either personal or professional reasons. Lifelong learning is important
Lifelong_learning
Situation in which two or more people learn or attempt to learn something together
Collaborative learning is a situation in which two or more people learn or attempt to learn something together. Unlike individual learning, people engaged
Collaborative_learning
Study of how people learn
Learning sciences (LS) is an interdisciplinary field of study dedicated to the empirical investigation of learning, exploration of what might be important
Learning_sciences
Form of unsupervised learning in artificial neural networks
Competitive learning is a form of unsupervised learning in artificial neural networks, in which nodes compete for the right to respond to a subset of
Competitive_learning
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
Aspect of metacognition
Meta-learning is a branch of metacognition concerned with learning about one's own learning and learning processes. The term comes from the meta prefix's
Meta-learning
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
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
Model of algorithmic learning
In computational learning theory, Occam learning is a model of algorithmic learning where the objective of the learner is to output a succinct representation
Occam_learning
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
Machine learning from a fixed dataset
presented. Online machine learning Incremental learning Bishop, Christopher M. (2006-08-17). Pattern Recognition and Machine Learning. New York: Springer.
Offline_learning
Educational technique
Active learning is "a method of learning in which students are actively or experientially involved in the learning process and where there are different
Active_learning
Type of social learning
Imitative learning is a type of social learning whereby new behaviors are acquired via imitation. Imitation aids in communication, social interaction
Imitative_learning
Type of learning style
Auditory learning or auditory modality is one of three learning modalities originally proposed by Walter Burke Barbe and colleagues that characterizes
Auditory_learning
Learning by physical activities
Kinesthetic learning (American English), kinaesthetic learning (British English), or tactile learning is learning that involves physical activity. As
Kinesthetic_learning
Form of active learning
Inquiry-based learning (also spelled as enquiry-based learning in British English) is a form of active learning that starts by posing questions, problems
Inquiry-based_learning
List of characters appearing in the Marvel Cinematic Universe
Contents: A–L (previous page) M N O P Q R S T U V W X Y Z See also References Mary MacPherran (portrayed by Jameela Jamil), also known as Titania, is
Characters of the Marvel Cinematic Universe: M–Z
Characters_of_the_Marvel_Cinematic_Universe:_M–Z
Concept in machine learning
In machine learning, the term tensor informally refers to two different concepts: (i) a way of organizing data and (ii) a multilinear (tensor) transformation
Tensor_(machine_learning)
Supervised learning of a similarity function
Similarity learning is an area of supervised machine learning in artificial intelligence. It is closely related to regression and classification, but the
Similarity_learning
enable collaborative learning. The adoption of mobile devices as tools for teaching and learning is referred to as M-Learning. M-Learning is a rapidly emerging
Mobile computer-supported collaborative learning
Mobile_computer-supported_collaborative_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
Technique combining machine learning and computer vision
objects to solve computer vision problems. For example, M. Mata et al.(2002) applied feature learning techniques to the mobile robot navigation tasks in order
Geometric_feature_learning
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
Interdisciplinary research area
Quantum machine learning (QML) is the study of quantum algorithms for machine learning. It often refers to quantum algorithms for machine learning tasks which
Quantum_machine_learning
Neurodevelopmental disorder
Nonverbal learning disorder (NVLD or NLD) is a proposed neurodevelopmental disorder characterized by core deficits in nonverbal skills, especially visual-spatial
Nonverbal_learning_disorder
Conceptual framework in psychology
sequence learning and, as a novel finding, also event file binding, show converging evidence of hyperfunctioning in GTS. Previous research on E-learning has
Stimulus–response_model
Self-directed, iterative learning approach
Agile learning generally refers to the transfer of agile methods of project work, especially Scrum, to learning processes. Likewise, agile learning proceeds
Agile_learning
Group Education
Team learning is the collaborative effort to achieve a common goal within the group. The aim of team learning is to attain the objective through dialogue
Team_learning
Theory of machine learning
Theoretical results in machine learning often focus on a type of inductive learning known as supervised learning. In supervised learning, an algorithm is provided
Computational_learning_theory
Learning through egalitarian dialogue
Dialogic learning is learning that takes place through dialogue. It is typically the result of egalitarian dialogue; in other words, the consequence of
Dialogic_learning
Academic conference in machine learning
Machine Learning, first held at Carnegie Mellon University in Pittsburgh in July 1980 and organized by Jaime Carbonell, Ryszard S. Michalski, and Tom M. Mitchell
International Conference on Machine Learning
International_Conference_on_Machine_Learning
Notion in computational learning theory
computational learning theory of how a machine learning algorithm output is changed with small perturbations to its inputs. A stable learning algorithm is
Stability_(learning_theory)
Type of associative learning process for behavioral modification
Operant conditioning, also called instrumental conditioning, is a learning process in which voluntary behaviors are modified by association with the addition
Operant_conditioning
Learning theory
approach works on two levels: a four-stage learning cycle and four distinct learning styles. Kolb's experiential learning theory has a holistic perspective which
Kolb's_experiential_learning
Concept in artificial intelligence
intelligence, apprenticeship learning (or learning from demonstration or imitation learning) is the process of learning by observing an expert. It can
Apprenticeship_learning
Cognitive science principles of effective multimedia learning
E-learning theory describes the cognitive science principles of effective multimedia learning using electronic educational technology. In recent applications
E-learning_(theory)
American academic
Marquardt, M. "Action Learning and Leadership." The Learning Organization, vol.7, no. 5, 233-240, 2000. Marquardt, M. "Action Learning." in The Resource
Michael_J._Marquardt
Research field in deep learning
deep learning (TDL) is a research field that extends deep learning to handle complex, non-Euclidean data structures. Traditional deep learning models
Topological_deep_learning
M LEARNING
M LEARNING
Girl/Female
Muslim
The Arabic letter m, Mim (1)
Male
Spanish
Old Spanish form of Latin Abrahamus, ABRAÃM means "father of a multitude."Â
Boy/Male
Indian, Tamil
King of Kings; Pron; M Amannan
Boy/Male
Muslim
{h}name of Ganesh, {m}fire
Girl/Female
Muslim/Islamic
The Arabic letter 'M' or 'Mim'
Surname or Lastname
English, German, Dutch, Polish, Slovenian, and Jewish; Hungarian (Ãbrám)
English, German, Dutch, Polish, Slovenian, and Jewish; Hungarian (Ãbrám) : from a reduced form of Abraham.English : habitational name from a place near Manchester, formerly Adburgham, named in Old English as ‘the homestead (Old English hÄm) of a woman called Ä’adburg’.
Male
Egyptian
, the overseer of the sacrificiants of the temple of Amen.
Girl/Female
Indian
The Arabic letter m, Mim
Male
Turkish
Turkish form of Hebrew Abraham, Ä°BRAHÄ°M means "father of a multitude."Â
Male
Hungarian
Hungarian form of Hebrew Adam, ÃDÃM means "earth" or "red."
Male
Czechoslovakian
, resolute helmet.
Boy/Male
Indian
The self-existing by whom all subsist
Boy/Male
Tamil
{h}lord Vishnu, {m}bright night
Boy/Male
Muslim
The self-existing by whom all subsist
Boy/Male
Tamil
{h}name of Ganesh, {m}fire
Boy/Male
Hawaiian
M.
Girl/Female
Assamese, Gujarati, Hindu, Indian, Kannada, Telugu
Holy Grains of Rice for Wedding Rituals
Boy/Male
Indian
{h}name of Ganesh, {m}fire
Girl/Female
Shakespearean
King Henry V' Earl of Salisbury.
Boy/Male
Hindu
{h}lord Vishnu, {m}bright night
M LEARNING
M LEARNING
Surname or Lastname
English and French
English and French : nickname for someone who had some special connection with the Christmas season, such as owing the particular feudal duty of providing a yule-log to the lord of the manor, or having given a memorable performance as the Lord of Misrule. The name is from Middle English, Old French no(u)el ‘Christmas’ (Latin natalis (dies) ‘birthday’). It was also used as a given name for someone born during the Christmas period.
Girl/Female
Tamil
Sacred, Pure, Comparable to the ganges, Another name for Durga, ***, Another name for Durga
Girl/Female
Australian
Yellow Horse
Girl/Female
Tamil
Dharshaneeya | தரà¯à®·à®¾à®¨à¯‡à®¯à®¾Â
Boy/Male
Tamil
Brilliance, Brilliant, Splendor
Boy/Male
Gujarati, Hindu, Indian, Jain, Kannada, Malayalam, Marathi, Sanskrit, Tamil, Telugu
Long Life; Immortal
Boy/Male
Muslim/Islamic
Dignity Gravity
Boy/Male
Spanish Greek
Purple.
Boy/Male
Bengali, Hindu, Indian, Malayalam, Marathi, Sanskrit
Lord Krishna
Girl/Female
Australian, Chinese, Hawaiian, Hebrew
Support; Praise; Favor
M LEARNING
M LEARNING
M LEARNING
M LEARNING
M LEARNING
m.
A large bottle.
n. m.
Alt. of Lanneret
n. m.
A long-tailed falcon (Falco lanarius), of Southern Europe, Asia, and Northern Africa, resembling the American prairie falcon.
n.
The sixtieth part of an hour; sixty seconds. (Abbrev. m.; as, 4 h. 30 m.)
n. m.
A person bound by monastic vows; a nun; a monk.
n.
A brand or stigma, having the shape of an M, formerly impressed on one convicted of manslaughter and admitted to the benefit of clergy.
n.
A symbol representing one thousand units; as, 1,000, M or CI/.
n.
Any plant of the genus Mertensia (esp. M. Virginica and M. Sibirica) plants nearly related to Pulmonaria. The American lungwort is Mertensia Virginica, Virginia cowslip.
n.
An Old World finch of the genus Minia, as the M. Malabarica of India, and M. cantans of Africa.
a.
Discovered or described by M. Tenon, a French anatomist.
n. m.
Alt. of Religieux
m.
A group of separate parts, things, or individuals; -- used with whole, and generally contemptuously; as, the whole kit of them.
m.
A wooden tub or pail, smaller at the top than at the bottom; as, a kit of butter, or of mackerel.
n.
A quadrat, the face or top of which is a perfect square; also, the size of such a square in any given size of type, used as the unit of measurement for that type: 500 m's of pica would be a piece of matter whose length and breadth in pica m's multiplied together produce that number.
m.
straw or rush basket for fish; also, any kind of basket.
m.
The system, style, spirit, or character, of a priesthood, or sacerdotal order; devotion to the interests of the sacerdotal order.
n.
A French mastiff.
m.
A box for working implements; hence, a working outfit, as of a workman, a soldier, and the like.