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Search references for ACTIVE LEARNING. Phrases containing ACTIVE LEARNING
See searches and references containing ACTIVE LEARNING!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
Machine learning strategy
Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source)
Active learning (machine learning)
Active_learning_(machine_learning)
Process of acquiring new knowledge
maladaptive learning processes in the organism.[citation needed] Active learning occurs when a person takes control of their own learning experience.
Learning
Subset of artificial intelligence
various learning algorithms is an active topic of current research, especially for deep learning algorithms.[citation needed] Machine learning and statistics
Machine_learning
Technology-enhanced active learning, or TEAL, is an alternative method of teaching that MIT pioneered. Led by Professor John Belcher, the TEAL approach
Technology-enhanced active learning
Technology-enhanced_active_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
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
Academic journal
Active Learning in Higher Education is a peer-reviewed academic journal that publishes papers three times a year in the field of Education. The journal's
Active Learning in Higher Education
Active_Learning_in_Higher_Education
Learning method
passive learning being the result or intended outcome of the instruction. This style of learning is teacher-centered and contrasts to active learning, which
Passive_learning
Term in education
to be an important form of learning in western schools of law. Hands-on learning, a form of active and experiential learning, predates language and the
Learning_environment
Business school in Washington, D.C, USA
its proprietary mobile-first learning platform and is known for its unique pedagogy that uses gamified active learning methods. The school is owned by
Quantic School of Business and Technology
Quantic_School_of_Business_and_Technology
Theory and philosophy of learning
didactic learning, in which the learner plays a comparatively passive role. It is related to, but not synonymous with, other forms of active learning such
Experiential_learning
Methods of teaching
traditional education, also dubbed "teacher-centered learning", which situates the teacher as the primarily "active" role while students take a more "passive",
Student-centered_learning
Overview of and topical guide to machine learning
Semi-supervised learning Active learning Generative models Low-density separation Graph-based methods Co-training Transduction Deep learning Deep belief networks
Outline_of_machine_learning
Academic conference in machine learning
The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year.
International Conference on Learning Representations
International_Conference_on_Learning_Representations
Use of technology in education to enhance learning and teaching
emphasize an active learning environment that may incorporate learner-centered problem-based learning, project-based learning, and inquiry-based learning, ideally
Educational_technology
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
Learner centric pedagogy
challenge, or problem. It is a style of active learning and inquiry-based learning. Project-based learning contrasts with paper-based, rote memorization
Project-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
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)
Academic conference in machine learning
International Conference on Machine Learning (ICML) is an international academic conference in machine learning held annually since 1980. It is the oldest
International Conference on Machine Learning
International_Conference_on_Machine_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
Physical setting for a learning environment
passive or active learning, kinesthetic or physical learning, vocational learning, experiential learning, and others. As the design of a learning space impacts
Learning_space
Theory of knowledge
constructivism is often associated with pedagogic approaches that promote active learning, or learning by doing. While there is much enthusiasm for constructivism as
Constructivism (philosophy of education)
Constructivism_(philosophy_of_education)
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)
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
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
Deep learning architecture
Mamba is a deep learning architecture focused on sequence modeling. It was developed by two researchers Albert Gu from Carnegie Mellon University and Tri
Mamba (deep learning architecture)
Mamba_(deep_learning_architecture)
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
Memory effect in educational psychology
retrieval practice, active recall, practice testing, or test-enhanced learning) suggests long-term memory is increased when part of the learning period is devoted
Testing_effect
Educational console
controllers and has titles designed to take advantage of motion-related "active learning". Without the cartridge, it will loop back to the startup screen.[citation
V.Smile
Formal educational talk
audience participation but relies upon passive learning. Therefore, lecturing is often contrasted to active learning. Lectures delivered by talented speakers
Lecture
Theory that describes how students receive, process, and retain knowledge during learning
Learning theory attempts to describe how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences
Learning_theory_(education)
Danish psychologist
skills for learning. Environmental intervention can facilitate skill attainment through Active Learning equipment and techniques, including learning to move
Lilli_Nielsen
Theory of education advocating a hands-on approach
which students actively participate in more practical and imaginative ways of learning. This process distinguishes itself from other learning approaches as
Learning-by-doing
Ensemble learning method
In machine learning (ML), boosting is an ensemble learning method that combines a set of less accurate models (called "weak learners") to create a single
Boosting_(machine_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
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
Measurable property or characteristic
In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. Choosing informative, discriminating
Feature_(machine_learning)
Type of large language model
generative artificial intelligence chatbots. GPTs are based on a deep learning architecture called the transformer. They are pre-trained on large datasets
Generative pre-trained transformer
Generative_pre-trained_transformer
Learner-centric pedagogy
problem-based learning. In problem-based learning the students are actively involved and they like this method. It fosters active learning, and also retention
Problem-based_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
Machine learning technique
In machine learning, normalization is a statistical technique with various applications. There are two main forms of normalization, namely data normalization
Normalization (machine learning)
Normalization_(machine_learning)
Act of staging or presenting a form of entertainment
Kozlowski, S.W.J. (2008). Active learning: Effects of core training design elements on self regulatory processes, learning, and adaptability. Journal
Performance
Online educational website
the focus of the site was on active learning in STEM fields, as opposed to rote learning, and it does not support learning certifications. Further, the
Brilliant_(website)
Research field that lies at the intersection of machine learning and computer security
Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. Machine learning techniques
Adversarial_machine_learning
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
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
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. "In real
Proactive_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
Use of machine learning to rank items
Learning to rank (LTR) or machine-learned ranking (MLR) is the application of machine learning, often supervised, semi-supervised or reinforcement learning
Learning_to_rank
Private university in California, United States
are conducted online and capped at 20 students. Minerva emphasizes active learning, applying a 1972 study that shows that memory is enhanced by "deep"
Minerva_University
Situation in which two or more people learn or attempt to learn something together
specifically, collaborative learning is based on the model that knowledge can be created within a population where members actively interact by sharing experiences
Collaborative_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
Technique for the generative modeling of a continuous probability distribution
In machine learning, diffusion models, also known as diffusion-based generative models or score-based generative models, are a class of latent variable
Diffusion_model
Method of teaching in which students teach the subject to each other
teacher remains actively involved, stepping in to further explain or provide support if the teaching-students falter or the learning-students do not seem
Learning_by_teaching
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
Materials used to impart knowledge
to make learning more exciting, interesting and interactive. They are tools used in instructional activities, which include active learning and assessment
Instructional_materials
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
Instructional strategy and a type of blended learning
peer reviewing, project-based learning, and skill development or concept practice Because these types of active learning allow for highly differentiated
Flipped_classroom
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
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
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
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
Concept in education and psychology
Dietze and Diane Kashin in Playing and Learning seven common characteristics of play include: Play is active. Play is child-initiated. Play is process-oriented
Learning_through_play
Transmission of knowledge and skills
which students take on a more active and responsible role in shaping classroom activities. For conscious education, learning and teaching happen with a clear
Education
Framework for machine learning
Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. Statistical learning theory
Statistical_learning_theory
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)
model aligns with the constructivist ideals of situated learning—which theorises that active learning takes place within the context in which the knowledge
Narrative-based_learning
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
Process of presenting a topic to an audience
Presentation (Delivery) Skills in the Context of Self-Regulated Learning". Active Learning in Higher Education. 21: 39–50. doi:10.1177/1469787417731214.
Presentation
International affairs school of the University of Southern California
issues in international political and economic affairs. Center for Active Learning in International Studies - CALIS is a K-12 outreach program sponsored
USC School of International Relations
USC_School_of_International_Relations
American psychologist, neuroscientist, and expert on learning (Born: 1948)
where he is a professor emeritus. Kosslyn is also the president of Active Learning Sciences, Inc., which provides AI software to educational companies
Stephen_Kosslyn
Pfahringer, Bernhard; Holmes, Geoff (2011). "Active Learning with Evolving Streaming Data". Machine Learning and Knowledge Discovery in Databases. Lecture
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Study of post-secondary teaching
their learning. It also encompasses the study and implementation of more modern teaching methods, such as active learning, cooperative learning, problem
Scholarship of teaching and learning
Scholarship_of_teaching_and_learning
Potential problem in computer-based information systems
Another of the possible techniques is to apply active learning (machine learning). The main goal of active learning is to guide the user in the preference elicitation
Cold start (recommender systems)
Cold_start_(recommender_systems)
Method for discovering interesting relations between variables in databases
Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended
Association_rule_learning
American computer scientist
research has contributed to the field of machine learning with a particular focus on active learning by improving the effectiveness of training data and
Edward_Y._Chang
Set of methods for supervised statistical learning
In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms
Support_vector_machine
Type of learning
meaningful learning; it incorporates many facets of cognition. Similar types of learning include active learning, deeper learning, and integrative learning. Ausubel
Meaningful_learning
Learning theory
learning cycle has four stages: concrete learning, reflective observation, abstract conceptualization, and active experimentation. Effective learning
Kolb's_experiential_learning
Method of machine learning
In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update
Online_machine_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
A learning cell is a learning strategy for a pair of students to learn together. It is an active learning style. A learning cell is a process of learning
Learning_cell
Teaching by lecture or demonstration
inquiry-based learning. DI includes tutorials, participatory laboratory classes, discussions, recitation, seminars, workshops, observation, active learning, practicum
Direct_instruction
Method of machine learning
this remains an active research challenge rather than a solved production capability. Transduction (machine learning) "Continual Learning for Large Language
Incremental_learning
Content using a combination of forms
evaluated in 9 disciplines. In each experiment, students' engagement and active learning have been approximately 66% greater than with the same material being
Multimedia
Sub-field of reinforcement learning
Multi-agent reinforcement learning (MARL) is a sub-field of reinforcement learning. It focuses on studying the behavior of multiple learning agents that coexist
Multi-agent reinforcement learning
Multi-agent_reinforcement_learning
Theatre in West Sussex, England
Called Christmas, directed by Dale Rooks. The theatre runs a large and active Learning, Education and Participation programme for all ages; its Youth Theatre
Chichester_Festival_Theatre
Technique of inquiry-based learning
referred to as problem-based learning, experiential learning, and 21st-century learning. It is supported by the work of learning theorists and psychologists
Discovery_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)
Objects maximally similar to other objects in a dataset
Machine Learning: Everything You Need to Know". Wu, Yuexin; Xu, Yichong; Singh, Aarti; Yang, Yiming; Dubrawski, Artur (2019). "Active Learning for Graph
Medoid
Mental processes
memory stores in different ways, but it is primarily done so through active learning, repetition and recall. Information that is encoded and stored within
Memory and retention in learning
Memory_and_retention_in_learning
Language variety or register peculiar to a specific social class
communicative practices through association with a local community, as well as active learning and choice among speech or writing forms to demonstrate identification
Sociolect
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
Smooth approximation of one-hot arg max
term "softargmax", though the term "softmax" is conventional in machine learning. This section uses the term "softargmax" for clarity. Formally, instead
Softmax_function
Educational approach which arranges students into cooperative groups
Roger Johnson have been actively contributing to the cooperative learning theory. In 1975, they identified that cooperative learning promoted mutual liking
Cooperative_learning
Learning technique
to forgo unnecessary actions or habits. In contrast with cramming, active learning and critical thinking are two methods which emphasize the retention
Cramming_(education)
Framework for mathematical analysis of machine learning
computational learning theory, probably approximately correct (PAC) learning is a framework for mathematical analysis of machine learning. It was proposed
Probably approximately correct learning
Probably_approximately_correct_learning
Indian multinational educational technology company
Future School aims to cross the bridge from passive to active learning with an interactive learning platform blended with coding and other subjects like
Byju's
ACTIVE LEARNING
ACTIVE LEARNING
Surname or Lastname
English
English : habitational name from any of various places, for example in Shropshire and Cheshire, named Clive, from the dative case of Old English clif ‘slope’, ‘bank’, ‘cliff’ (see Cliff), originally used after a preposition. In some cases the name may be topographical, with the same origin and meaning.
Boy/Male
Muslim
Active
Boy/Male
Polish
Active.
Male
English
English pet form of Celtic Arthur, possibly ARTIE means "bear-man."Â
Girl/Female
Greek
Active.
Girl/Female
Slavic
Active.
Girl/Female
German
Active.
Boy/Male
English
Active.
Boy/Male
English
Active.
Boy/Male
Indian
Active
Girl/Female
Hindi
Active.
Boy/Male
British, English, Indian, Russian
Work
Girl/Female
German
Active.
Girl/Female
Greek
Active.
Boy/Male
Teutonic American English
Active.
Male
English
English surname transferred to forename use, from the name of various places, derived from Old English clif, CLIVE means "bank, cliff, slope."
Boy/Male
French American
Born eighth.
Boy/Male
English
Active.
Male
English
Pet form of English Ace, ACIE means "number one."
Girl/Female
German
Active.
ACTIVE LEARNING
ACTIVE LEARNING
Girl/Female
Tamil
Girl/Female
Arabic, German, Kurdish, Muslim, Pakistani, Russian, Turkish
Cut
Boy/Male
Indian, Punjabi, Sikh, Tamil, Telugu
Light of King; Effective King; Light of Day
Boy/Male
British, English
Cheerful
Boy/Male
Indian, Sanskrit
One who Provides Safety
Surname or Lastname
English
English : habitational name from Cawthorn in North Yorkshire or Cawthorne in South Yorkshire; both are probably named with Old English cald ‘cold’ (i.e. ‘exposed’) + þorn ‘thorn bush’.
Girl/Female
Indian, Telugu
Bird Myna
Boy/Male
Assamese, Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Sindhi, Telugu
Lord Krishna Lord Shiva; Name of Lord Krishna; One who Makes the World his Home; A Celestial Being who was the King of the Anga Dynasty; Lord Shiva
Girl/Female
Arabic, Muslim
Worship
Male
Icelandic
Icelandic form of Norwegian NjÃ¥l, NJÃLL means "champion."
ACTIVE LEARNING
ACTIVE LEARNING
ACTIVE LEARNING
ACTIVE LEARNING
ACTIVE LEARNING
a.
Applied to all verbs that express action as distinct from mere existence or state.
a.
Quick in physical movement; of an agile and vigorous body; nimble; as, an active child or animal.
a.
Given to action rather than contemplation; practical; operative; -- opposed to speculative or theoretical; as, an active rather than a speculative statesman.
n.
Any one of the active processes going on in an organism; the performance of a function; as, the action of the heart, the muscles, or the gastric juice.
a.
Requiring or implying action or exertion; -- opposed to sedentary or to tranquil; as, active employment or service; active scenes.
a.
In action; actually proceeding; working; in force; -- opposed to quiescent, dormant, or extinct; as, active laws; active hostilities; an active volcano.
v. t.
To make active.
a.
Acting in concurrence; united in action.
a.
Applied to a form of the verb; -- opposed to passive. See Active voice, under Voice.
a.
Doing; active.
a.
Given to action; constantly engaged in action; energetic; diligent; busy; -- opposed to dull, sluggish, indolent, or inert; as, an active man of business; active mind; active zeal.
a.
Not active; inert; esp., not exhibiting any action or activity on polarized light; optically neutral; -- said of isomeric forms of certain substances, in distinction from other forms which are optically active; as, racemic acid is an inactive tartaric acid.
a.
Implying or producing rapid action; as, an active disease; an active remedy.
adv.
In an active signification; as, a word used actively.
a.
Brisk; lively; as, an active demand for corn.
a.
Having the power or quality of acting; causing change; communicating action or motion; acting; -- opposed to passive, that receives; as, certain active principles; the powers of the mind.
a.
Not disposed to action or effort; not diligent or industrious; not busy; idle; as, an inactive officer.
n.
Action.
a.
Not active; having no power to move; that does not or can not produce results; inert; as, matter is, of itself, inactive.
adv.
In an active manner; nimbly; briskly; energetically; also, by one's own action; voluntarily, not passively.