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Term in educational psychology
Concept learning, also known as category learning, concept attainment, and concept formation, is defined by Bruner, Goodnow, & Austin (1956) as "the search
Concept_learning
Fundamental unit of cognition
debate whether concepts are mental representations or abstract objects that exist independently of individual minds. Concept learning is the process of
Concept
Overview of and topical guide to machine learning
learning theory AlphaGo AlphaGo Zero Alternating decision tree Apprenticeship learning Causal Markov condition Competitive learning Concept learning Decision
Outline_of_machine_learning
Process of acquiring new knowledge
repeatedly processed. Rote learning is used in diverse areas, from mathematics to music to religion. Meaningful learning is the concept that learned knowledge
Learning
Subset of artificial intelligence
machine learning approaches include learning classifier systems, association rule learning, and artificial immune systems. Based on the concept of strong
Machine_learning
Theory and philosophy of learning
learner and the learning context. Experiences "stick out" in the mind and assist with information retention. The general concept of learning through experience
Experiential_learning
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
Diagram showing relationships among concepts
Gowin, their approach to concept mapping is based on a "learning theory that focuses on concept and propositional learning as the basis on which individuals
Concept_map
One's internal beliefs about oneself
in a big pond: Contrast and assimilation effects on academic self-concept". Learning and Individual Differences. 20 (5): 522–531. doi:10.1016/j.lindif
Self-concept
Change of statistical properties over time
In predictive analytics, data science, machine learning and related fields, concept drift or drift is an evolution of data that invalidates the data model
Concept_drift
indexicality, intentionality, reference, the constitution of sentences, concepts, learning, and thought. Gottlob Frege and Bertrand Russell were pivotal figures
Philosophy_of_language
Machine learning strategy
active learning, hybrid active learning and active learning in a single-pass (on-line) context, combining concepts from the field of machine learning (e.g
Active learning (machine learning)
Active_learning_(machine_learning)
Concept in education
to have been lost. Despite this, NTL's learning pyramid model became a central representation of this concept with a large number of models drawing from
Learning_pyramid
Method of deriving an ontology
in the 1930s. Formal concept analysis finds practical application in fields including data mining, text mining, machine learning, knowledge management
Formal_concept_analysis
Version space learning is a logical approach to machine learning, specifically binary classification. Version space learning algorithms search a predefined
Version_space_learning
Concept in psychology
points denote objects, and regions denote concepts. The theory of conceptual spaces is a theory about concept learning first proposed by Peter Gärdenfors. It
Conceptual_space
Type of supervised learning in machine learning
In machine learning, multiple-instance learning (MIL) is a type of supervised learning. Instead of receiving a set of instances which are individually
Multiple_instance_learning
Acquisition of knowledge, skills, and competencies as a result of teaching or practice
and social psychology concept Learning – Process of acquiring new knowledge Microtraining – Support method for informal learning processes in organisations
Training
Framework for mathematical analysis of machine learning
framework is the introduction of computational complexity theory concepts to machine learning. In particular, the learner is expected to find efficient functions
Probably approximately correct learning
Probably_approximately_correct_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
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 in
Phenomenon-based_learning
Branch of machine learning
interpretation derives from the field of machine learning. It features inference, as well as the optimization concepts of training and testing, related to fitting
Deep_learning
Type of learning
Meaningful learning refers to the act of higher order thinking and development through intellectual engagement that uses pattern recognition and concept association
Meaningful_learning
or the characteristics of the data change over time. Online learning Data streams Concept drift Data which can be modeled well using a hierarchical model
Incremental_decision_tree
Use of technology in education to enhance learning and teaching
concept or principle. For example, m-learning emphasizes mobility, which allows for altered timing, location, accessibility, and context of learning;
Educational_technology
distance learning. In North America, this concept is commonly denoted as a "Learning Management System" (LMS). Key terminology to describe virtual learning environments
History of virtual learning environments
History_of_virtual_learning_environments
6th President of Latvia
1965 with a dissertation supervised by Dr. Virginia Douglas, entitled Concept Learning in Normal and Hyperactive Children. From 1965 to 1998, Vīķe-Freiberga
Vaira_Vīķe-Freiberga
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
Approach to training in machine learning
In machine learning, one-class classification (OCC), also known as unary classification or class-modelling, is an approach to the training of binary classifiers
One-class_classification
Type of company
management, a learning organization is a company that facilitates the learning of its members and continuously transforms itself. The concept was coined
Learning_organization
Subfield of machine learning
Meta-learning is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of
Meta-learning (computer science)
Meta-learning_(computer_science)
Support given to a student by an instructor
student-centered learning, which tends to facilitate more efficient learning than teacher-centered learning.[page needed] This learning process promotes
Instructional_scaffolding
Pattern recognition puzzle
A. I. Memo 873, November 1985. Saito, K., and Nakano, R. (1993) A Concept Learning Algorithm with Adaptive Search. Proceedings of Machine Intelligence
Bongard_problem
Largely debunked theories that aim to account for differences in individuals' learning
categorized and assessed. A common concept is that individuals differ in how they learn. The idea of individualized learning styles became popular in the 1970s
Learning_styles
Theory of knowledge
constructivist learning has significantly influenced learning theories and teaching methods in education. It serves as a foundational concept in education
Constructivism (philosophy of education)
Constructivism_(philosophy_of_education)
Ongoing, voluntary, and self-motivated pursuit of knowledge
Lifelong Learning, which caters to the needs of the disadvantaged and marginalized learners. Lifelong learning is distinguished from the concept of continuing
Lifelong_learning
Topics referred to by the same term
computational learning theory, a subset of the instance space; see Concept class Concepts (C++), an extension to C++'s template system Concept virus (disambiguation)
Concept_(disambiguation)
Learning through practice, self-perfection and minor innovations
Learning-by-doing is a concept in economic theory by which productivity is achieved through practice, self-perfection and minor innovations. An example
Learning-by-doing_(economics)
Range of neurodevelopmental conditions
the following definition: Concept of LD: Strong converging evidence supports the validity of the concept of specific learning disabilities (SLD). This
Learning_disability
Assumptions for inference in machine learning
machine learning", Machine Learning, 20 (1–2): 5–22, doi:10.1007/BF00993472 Utgoff, P. E. (1984), Shift of bias for inductive concept learning, New Brunswick
Inductive_bias
Interactive learning is a pedagogical approach that incorporates social networking and urban computing into course design. In interactive learning, people
Interactive_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
Computational learning theory
computational learning theory in mathematics, a concept over a domain X is a total Boolean function over X. A concept class is a class of concepts. Concept classes
Concept_class
Psychological categorization proposal
exemplar theory have led to a simplification of thought concerning concept learning, because they suggest that people use already-encountered memories
Exemplar_theory
Machine learning paradigm
Self-supervised learning (SSL) is a paradigm in machine learning where a model is trained on a task using the data itself to generate supervisory signals
Self-supervised_learning
How people learn from experience
A learning cycle is a concept of how people learn from experience. A learning cycle will have a number of stages or phases, the last of which can be followed
Learning_cycle
Approach to neurological rehabilitation
children with cerebral palsy). The goal of applying the Bobath concept is to promote motor learning for efficient motor control in various environments, thereby
Bobath_concept
Model of algorithmic learning
for a wide variety of concept classes, the converse is also true: PAC learnability implies Occam learnability. Occam Learning is named after Occam's
Occam_learning
Principle in teaching
alignment is the underpinning concept behind the current requirements for programme specification, declarations of learning outcomes (LOs) and assessment
Constructive_alignment
Paradigm in machine learning
Weak supervision (also known as semi-supervised learning) is a paradigm in machine learning, the relevance and notability of which increased with the
Weak_supervision
Learning logic programs from data
both given the background knowledge B. In Muggleton's setting of concept learning, "completeness" is referred to as "sufficiency", and "consistency"
Inductive_logic_programming
Concept in educational psychology
thereby encouraging and advancing their individual learning skills and strategies. The concept of the zone of proximal development was originally developed
Zone_of_proximal_development
Learner centric pedagogy
design concepts are developed Problem-based learning – Learner-centric pedagogy Project-based learning – Learner centric pedagogy Organizational learning STEM
Design-based_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
(2010). "Concept learning in nonprimate mammals: In search of evidence". In Mareschal D, Quinn PC, Lea SE (eds.). The Making of Human Concepts. Oxford
Animal_cognition
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
Knowledge assessment tool
in psychometrics Concept map – Diagram showing relationships among concepts Conceptual question Confidence-based learning – Learning system Construct
Concept_inventory
Concept on humans' and animals' use of past learning in present situations
Generalization is the concept that humans, other animals, and artificial neural networks use past learning in present situations of learning if the conditions
Generalization_(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
Ancient Greek philosophical concept of sensual or passionate love
/ˈɛrɒs, irɒs, -oʊs/; from Ancient Greek ἔρως (érōs) 'love, desire') is a concept in ancient Greek philosophy referring to sensual or passionate love, from
Eros_(concept)
Learning theory predicated on making connections across curricula
This higher education concept is distinct from the elementary and high school "integrated curriculum" movement. Integrative Learning comes in many varieties:
Integrative_learning
machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
changed conceptual perspective. Reflective learning is a development of the concept of experiential learning as propounded by John Dewey, who wrote Experience
Reflective_learning
Norwegian online educational quiz game
Kahoot! is a Norwegian online game-based learning platform. It has learning games, also known as "kahoots", which are user-generated multiple-choice quizzes
Kahoot!
American cognitive scientist
learn and generalize new concepts, models, theories and tasks from very few examples, a concept known as "one-shot learning." "Eulogy". December 8, 2020
Joshua_Tenenbaum
Educational psychology concept
generalization, B. F. Skinner's concept of a response to a stimulus occurring to other stimuli. Today, transfer of learning is usually described as the process
Transfer_of_learning
because of that connection. Personal learning networks share a close association with the concept of personal learning environments. Martindale & Dowdy describe
Personal_learning_network
Professor of computer science
Dana Angluin (1988). Queries and concept learning. Machine Learning. 2 (4): 319–342. Dana Angluin (1987). "Learning Regular Sets from Queries and Counter-Examples"
Dana_Angluin
American educator (1930–2023)
learning and epistemology, and methods of applying educational ideas and tools (such as concept mapping) in corporate settings and distance learning programs
Joseph_D._Novak
Text editor providing intelligent, computer-generated suggestions
by the user, during a process known as selection guessing, based on concept learning. This ability occurs via, and is an instance of, programming by example
Lapis_(text_editor)
Mode of delivering education to students who are not physically present
education (also known as online learning, remote learning or remote education) through an online school. A distance learning program can either be completely
Distance_education
Observe–orient–decide–act cycle
States Air Force Colonel John Boyd in the early 1970s. He applied the concept to the combat operations process, often at the operational level during
OODA_loop
Attempt to convey information to a sleeping person
has concluded that sleep-learning is not possible. Once a concept explored in the early history of psychology, sleep-learning appears frequently in fiction
Sleep-learning
is an Open Source e-learning specification developed after AICC and SCORM. The concept of the LRS was introduced to the e-learning industry in 2011, and
Learning_Record_Store
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)
Machine learning technique
on transfer learning in neural networks, 1976". Informatica 44: 291–302. S. Bozinovski (1981). "Teaching space: A representation concept for adaptive
Transfer_learning
Learning through egalitarian dialogue
arguments based on validity claims and not on power claims. The concept of dialogic learning is not a new one. Within the Western tradition, it is frequently
Dialogic_learning
AI whose outputs can be understood by humans
(XAI), generally overlapping with interpretable AI or explainable machine learning (XML), is a field of research that explores methods that provide humans
Explainable artificial intelligence
Explainable_artificial_intelligence
Branch of analytics
certain courses of action. Another approach for defining Learning Analytics is based on the concept of Analytics interpreted as the process of developing
Learning_analytics
Online encyclopedia on linguistics
Salakhutdinov, Ruslan; Tenenbaum, Joshua B. (December 11, 2015). "Human-level concept learning through probabilistic program induction". Science. 350 (6266). American
Omniglot
Machine learning algorithm
Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or
Decision_tree_learning
Memorization technique based on repetition
alternatives to rote learning include meaningful learning, associative learning, spaced repetition and active learning. Rote learning is widely used in the
Rote_learning
People feel better about themselves when they are more obviously superior
changes in academic self concept development: On the long-term persistence of big-fish-little-pond effects" (PDF). Learning and Instruction. 45: 31–39
Big-fish–little-pond_effect
Representation learning technique
In machine learning, embedding is a representation learning technique that maps complex, high-dimensional data into a lower-dimensional vector space of
Embedding_(machine_learning)
Model for music education
musical differences. The theory takes into account the concepts of discrimination and inference learning in terms of tonal, rhythmic, and harmonic patterns
Gordon_music_learning_theory
Method of teaching in which students teach the subject to each other
Jean-Pol Martin systematically developed the concept of having students teach other in the context of learning French as a foreign language, and he gave
Learning_by_teaching
Community
The concept was first proposed by cognitive anthropologist Jean Lave and educational theorist Etienne Wenger in their 1991 book Situated Learning. Wenger
Community_of_practice
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
Sub-field of reinforcement learning
maximize rewards with a more sociological set of concepts. While research in single-agent reinforcement learning is concerned with finding the algorithm that
Multi-agent reinforcement learning
Multi-agent_reinforcement_learning
Concept in machine learning
In statistics and machine learning, leakage (also known as data leakage or target leakage) refers to the use of information during model training that
Leakage_(machine_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
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
American psychologist
Bloomington, Indiana. His research interests include concept learning and representation, perceptual learning, collective behavior, and computational modeling
Robert_Goldstone
Italian computer scientist
scientist whose research topics in artificial intelligence include concept learning and abstraction. She is a professor emeritus of computer science at
Lorenza_Saitta
Machine learning paradigm
clustering is closely related to formal concept analysis, decision tree learning, and mixture model learning. Conceptual clustering is obviously closely
Conceptual_clustering
Cognitive process
concerning intellectual and learning development. American psychologist Robert M. Gagne first introduced the concept of cumulative learning in 1968 on the basis
Cumulative_learning
Automatic creation of ontologies
ontology learning system. During the domain terminology extraction step, domain-specific terms are extracted, which are used in the following step (concept discovery)
Ontology_learning
Anandkumar, Anima (2020). "Bongard-LOGO: A New Benchmark for Human-level Concept Learning and Reasoning". Advances in Neural Information Processing Systems.
Progress in artificial intelligence
Progress_in_artificial_intelligence
American academic (1930–1997)
of Technology. He developed the concept of reflective practice and contributed to the theory of organizational learning. He was born in Boston and brought
Donald_Schön
Methods and principles in adult education
the reason for learning something. Foundation: Experience (including error) provides the basis for learning activities. Self-concept: Adults need to
Andragogy
CONCEPT LEARNING
CONCEPT LEARNING
Boy/Male
Hindu, Indian
Concept
Boy/Male
Australian, Italian
Pure; Conception; Reference to the Immaculate Conception
Male
Italian
Masculine form of Italian Concetta, CONCETTO means "conception."
Girl/Female
Spanish American Latin Italian
Reference to the Immaculate Conception.
Girl/Female
Tamil
Content
Female
Italian
Italian form of Spanish Concepción, CONCETTA means "conception."
Girl/Female
Latin English
Without conceit; modest.
Girl/Female
Australian, Irish
Refers to the Immaculate Conception
Girl/Female
Latin
Without conceit; modest.
Girl/Female
Muslim
Concern
Boy/Male
Arabic
Thought; Idea; Concept
Boy/Male
Bengali, Hindu, Indian
Concert; Musical Instrument
Girl/Female
Hindu, Indian, Marathi
Consent
Boy/Male
Italian
Reference to the Immaculate Conception.
Surname or Lastname
English (Devon)
English (Devon) : unexplained.
Boy/Male
Tamil
Content
Girl/Female
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Sanskrit, Sindhi, Tamil, Telugu
Consent
Girl/Female
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Punjabi, Sanskrit, Sikh, Telugu
Consent
Girl/Female
Tamil
Consent
Girl/Female
Hindu
Content
CONCEPT LEARNING
CONCEPT LEARNING
Girl/Female
Muslim
The milky way, Galaxy
Girl/Female
Hindu
A person who does good things, Made good
Girl/Female
Indian, Modern
New
Boy/Male
Biblical
He that presides over the choirs.
Girl/Female
Hindu, Indian
Amazing; Generous
Boy/Male
Tamil
A lighted lamp
Girl/Female
Biblical
A little lioness.
Boy/Male
American, Anglo, British, Christian, Danish, English, Finnish, French, German, Irish, Polish, Shakespearean, Swedish
Wealthy Defender; Prosperous Protection; Rich Protector; Protector of Prosperity
Surname or Lastname
English
English : variant of Roebuck.
Surname or Lastname
English
English : habitational name from Rotherham in South Yorkshire, named as ‘homestead or village (Old English hÄm) on the river Rother’, a Celtic river name meaning ‘chief river’.
CONCEPT LEARNING
CONCEPT LEARNING
CONCEPT LEARNING
CONCEPT LEARNING
CONCEPT LEARNING
n.
An act or expression denoting contempt.
v. t.
To digest; to convert into nourishment by the organs of nutrition.
n.
Concert of voices; concord of sounds; harmony; as, a concent of notes.
v. t.
To prepare from crude materials, as food; to invent or prepare by combining different ingredients; as, to concoct a new dish or beverage.
n.
An expression of assent to a bill or motion; an affirmative vote; also, a member who votes "Content.".
pl.
of Concetto
n.
Conceit; arrogance.
v. t.
To yield or suffer; to surrender; to grant; as, to concede the point in question.
v. t.
To change or turn from one state or condition to another; to alter in form, substance, or quality; to transform; to transmute; as, to convert water into ice.
n.
Affected wit; a conceit.
n.
Faculty of conceiving ideas; mental faculty; apprehension; as, a man of quick conceit.
n.
An abstract general conception; a notion; a universal.
n.
Concern for one's self.
n.
The use of concetti or affected conceits.
n.
Conceit of one's self; an overweening opinion of one's powers or endowments.
n.
A generalized concept of magnitude.
n.
Persons connected in business; a firm and its business; as, a banking concern.
n.
Agreement; concert
v. i.
To join, unite, or cohere; to have a close relation; as, one line of railroad connects with another; one argument connect with another.
v. t.
To exchange for some specified equivalent; as, to convert goods into money.