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CONCEPT LEARNING

  • Concept learning
  • 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

    Concept_learning

  • Concept
  • 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

    Concept

  • 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

    Learning

    Learning

  • Experiential 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

    Experiential learning

    Experiential_learning

  • Machine 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

    Machine_learning

  • Outline of machine learning
  • 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

    Outline_of_machine_learning

  • Learning management system
  • 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

    Learning_management_system

  • Concept map
  • 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

    Concept map

    Concept_map

  • Self-concept
  • 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

    Self-concept

  • Active learning (machine learning)
  • 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 drift
  • 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

    Concept_drift

  • Learning pyramid
  • 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

    Learning_pyramid

  • Learning styles
  • 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

    Learning_styles

  • Reinforcement 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

    Reinforcement learning

    Reinforcement_learning

  • Formal concept analysis
  • 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

    Formal_concept_analysis

  • Conceptual space
  • 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

    Conceptual space

    Conceptual_space

  • Learning organization
  • 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

    Learning_organization

  • Version space learning
  • Version space learning is a logical approach to machine learning, specifically binary classification. Version space learning algorithms search a predefined

    Version space learning

    Version space learning

    Version_space_learning

  • One-class classification
  • 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

    One-class_classification

  • Vaira Vīķe-Freiberga
  • 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

    Vaira Vīķe-Freiberga

    Vaira_Vīķe-Freiberga

  • Active 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

    Active_learning

  • Training
  • 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

    Training

    Training

  • Multiple instance learning
  • 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

    Multiple_instance_learning

  • Probably approximately correct learning
  • 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

  • Phenomenon-based 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

    Phenomenon-based_learning

  • Deep 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

    Deep learning

    Deep_learning

  • Incremental decision tree
  • 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

    Incremental_decision_tree

  • Meta-learning (computer science)
  • 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)

  • Eros (concept)
  • 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)

    Eros (concept)

    Eros_(concept)

  • Recognition of prior learning
  • Evaluating outside-classroom knowledge

    Recognition of prior learning (RPL), prior learning assessment (PLA), or prior learning assessment and recognition (PLAR) describes a process used by regulatory

    Recognition of prior learning

    Recognition_of_prior_learning

  • Lifelong learning
  • 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

    Lifelong_learning

  • Constructive alignment
  • Principle in teaching

    alignment is the underpinning concept behind the current requirements for programme specification, declarations of learning outcomes (LOs) and assessment

    Constructive alignment

    Constructive_alignment

  • Bobath concept
  • 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

    Bobath_concept

  • Bongard problem
  • 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

    Bongard problem

    Bongard_problem

  • Inductive bias
  • 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

    Inductive_bias

  • Learning-by-doing (economics)
  • 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)

    Learning-by-doing_(economics)

  • Interactive Learning
  • Interactive learning is a pedagogical approach that incorporates social networking and urban computing into course design. In interactive learning, people

    Interactive Learning

    Interactive_Learning

  • Transfer of learning
  • Educational psychology concept

    with no bright line between learning and transfer. Transfer may also be referred to as generalization, B. F. Skinner's concept of a response to a stimulus

    Transfer of learning

    Transfer_of_learning

  • Meaningful 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

    Meaningful_learning

  • Generalization (learning)
  • 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)

    Generalization_(learning)

  • Occam learning
  • 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

    Occam_learning

  • Quantum 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

    Quantum machine learning

    Quantum_machine_learning

  • Learning cycle
  • 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

    Learning_cycle

  • Inductive logic programming
  • 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

    Inductive logic programming

    Inductive_logic_programming

  • Adaptive 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

    Adaptive_learning

  • Personal learning network
  • because of that connection. Personal learning networks share a close association with the concept of personal learning environments. Martindale & Dowdy describe

    Personal learning network

    Personal_learning_network

  • Concept inventory
  • Knowledge assessment tool

    in psychometrics Concept map – Diagram showing relationships among concepts Conceptual question Confidence-based learning – Learning system Construct

    Concept inventory

    Concept_inventory

  • Concept (disambiguation)
  • 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)

    Concept_(disambiguation)

  • Weak supervision
  • 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

    Weak_supervision

  • Conceptual clustering
  • 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

    Conceptual_clustering

  • Federated 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

    Federated learning

    Federated_learning

  • Joshua Tenenbaum
  • 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

    Joshua_Tenenbaum

  • Rote 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

    Rote learning

    Rote_learning

  • List of datasets for machine-learning research
  • 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

  • Embedding (machine learning)
  • 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)

    Embedding_(machine_learning)

  • Constructivism (philosophy of education)
  • 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)

    Constructivism_(philosophy_of_education)

  • Instructional scaffolding
  • 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

    Instructional_scaffolding

  • Operant conditioning
  • 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

    Operant_conditioning

  • Robert Goldstone
  • American psychologist

    Bloomington, Indiana. His research interests include concept learning and representation, perceptual learning, collective behavior, and computational modeling

    Robert Goldstone

    Robert_Goldstone

  • OODA loop
  • 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

    OODA loop

    OODA_loop

  • Learning disability
  • 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

    Learning disability

    Learning_disability

  • Exemplar theory
  • 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

    Exemplar_theory

  • Self-supervised learning
  • 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

    Self-supervised_learning

  • Dana Angluin
  • 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

    Dana_Angluin

  • Integrative learning
  • 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

    Integrative_learning

  • Animal cognition
  • (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

    Animal cognition

    Animal_cognition

  • Educational technology
  • 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

    Educational technology

    Educational_technology

  • Design-based learning
  • 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

    Design-based_learning

  • History of virtual learning environments
  • 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

    History_of_virtual_learning_environments

  • Dialogic 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

    Dialogic learning

    Dialogic_learning

  • Leakage (machine 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)

    Leakage_(machine_learning)

  • Transfer 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

    Transfer learning

    Transfer_learning

  • Zone of proximal development
  • 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

    Zone of proximal development

    Zone_of_proximal_development

  • Perceptual learning
  • 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

    Perceptual learning

    Perceptual_learning

  • Ontology 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

    Ontology_learning

  • Desirable difficulty
  • Concept that some difficulty can assist learning

    Bjork in 1994. The UCLA psychologist introduced the concept as an experience that makes learning more difficult, allowing students to form stronger connections

    Desirable difficulty

    Desirable_difficulty

  • Mental model
  • Mental representation of the external world

    major role in cognition, reasoning and decision-making. The term for this concept was coined in 1943 by Kenneth Craik, who suggested that the mind constructs

    Mental model

    Mental model

    Mental_model

  • Distance education
  • 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

    Distance_education

  • Kahoot!
  • 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!

    Kahoot!

    Kahoot!

  • Learning by teaching
  • 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

    Learning_by_teaching

  • Decision tree learning
  • 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

    Decision_tree_learning

  • Fuzzy concept
  • Varying application boundaries

    context in which the concept is used. The inverse of a "fuzzy concept" is a "crisp concept" (i.e. a precise concept). Fuzzy concepts are often used to navigate

    Fuzzy concept

    Fuzzy_concept

  • Artificial intelligence
  • 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

    Artificial_intelligence

  • Gordon music learning theory
  • 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

    Gordon_music_learning_theory

  • Sleep-learning
  • 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

    Sleep-learning

  • Community of practice
  • 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

    Community_of_practice

  • Learning development
  • Work with people to develop academic practices

    Learning Development describes work with students and staff to develop academic practices, with a main focus on students developing academic practices

    Learning development

    Learning_development

  • Neural network (machine 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)

    Neural_network_(machine_learning)

  • Jack Dunham (psychologist)
  • American psychologist

    address the problem. Dunham, Guilford, & Hoepfner (1968): The idea of concept learning is presented, which refers to one’s ability to improve with each attempt

    Jack Dunham (psychologist)

    Jack_Dunham_(psychologist)

  • Learning analytics
  • 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

    Learning_analytics

  • List of concept- and mind-mapping software
  • Concept mapping and mind mapping software is used to create diagrams of relationships between concepts, ideas, or other pieces of information. It has been

    List of concept- and mind-mapping software

    List_of_concept-_and_mind-mapping_software

  • Concept class
  • 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

    Concept_class

  • Martin Giurfa
  • Argentinean-French neurobiologist and neuroethologist

    categorization by honeybees in 1996 followed by his demonstration of concept learning in bees represented a turning point for the field of insect behavior

    Martin Giurfa

    Martin Giurfa

    Martin_Giurfa

  • Knowledge graph
  • Type of knowledge base

    in data science and machine learning, particularly in graph neural networks, representation learning, and machine learning, have broadened the scope of

    Knowledge graph

    Knowledge graph

    Knowledge_graph

  • Explainable artificial intelligence
  • 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

  • Simultaneous editing
  • Text editing technique allowing editing multiple locations simultaneously

    browser and text editor is also able to infer selections based on concept learning from positive and negative examples given by the user during a process

    Simultaneous editing

    Simultaneous editing

    Simultaneous_editing

  • Sample exclusion dimension
  • computational learning theory, sample exclusion dimensions arise in the study of exact concept learning with queries. In algorithmic learning theory, a concept over

    Sample exclusion dimension

    Sample_exclusion_dimension

  • Omniglot
  • 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

    Omniglot

  • Metacognition
  • Self-awareness about thinking, higher-order thinking skills

    skills, memory capabilities, and the ability to monitor learning.[citation needed] This concept needs to be explicitly taught alongside content instruction

    Metacognition

    Metacognition

    Metacognition

  • M-learning
  • 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

    M-learning

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CONCEPT LEARNING

  • Conceit
  • n.

    Faculty of conceiving ideas; mental faculty; apprehension; as, a man of quick conceit.

  • Manifoldness
  • n.

    A generalized concept of magnitude.

  • Concern
  • n.

    Persons connected in business; a firm and its business; as, a banking concern.

  • Concettism
  • n.

    The use of concetti or affected conceits.

  • Contempt
  • n.

    An act or expression denoting contempt.

  • Content
  • n.

    An expression of assent to a bill or motion; an affirmative vote; also, a member who votes "Content.".

  • Convert
  • 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.

  • Convert
  • v. t.

    To exchange for some specified equivalent; as, to convert goods into money.

  • Concede
  • v. t.

    To yield or suffer; to surrender; to grant; as, to concede the point in question.

  • Concept
  • n.

    An abstract general conception; a notion; a universal.

  • Consult
  • n.

    Agreement; concert

  • Overweening
  • n.

    Conceit; arrogance.

  • Concetto
  • n.

    Affected wit; a conceit.

  • Concent
  • n.

    Concert of voices; concord of sounds; harmony; as, a concent of notes.

  • Connect
  • 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.

  • Concoct
  • 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.

  • Self-conceit
  • n.

    Conceit of one's self; an overweening opinion of one's powers or endowments.

  • Concetti
  • pl.

    of Concetto

  • Concoct
  • v. t.

    To digest; to convert into nourishment by the organs of nutrition.

  • Self-concern
  • n.

    Concern for one's self.