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Form of learning by problem solving
Challenge-based learning (CBL) is a framework for learning while solving real-world challenges. The framework is collaborative and hands-on, asking all
Challenge-based_learning
Learner centric pedagogy
question, 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
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
German distance learning university
graduate, and certificate programs entirely online through a challenge-based learning approach. In 2022, it received state recognition from the Hessian
Tomorrow_University
Learner-centric pedagogy
Problem-based learning (PBL) is a teaching method in which students aim to learn about a subject through the experience of solving an open-ended problem
Problem-based_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
Learner centric pedagogy
Design-based learning (DBL), also known as design-based instruction, is an inquiry-based form of learning, or pedagogy, that is based on integration of
Design-based_learning
Process of acquiring new knowledge
learned. Evidence-based learning is the use of evidence from well designed scientific studies to accelerate learning. Evidence-based learning methods such
Learning
Subset of artificial intelligence
person's height based on factors like age and genetics or forecasting future temperatures based on historical data. Similarity learning is an area of supervised
Machine_learning
Educational strategy
Work-based learning (WBL) refers to forms of learning that occur through participation in work and contribution, across formal, non-formal and informal
Work-based_learning
Game genre
problem solving. Game-based learning (GBL) is a type of game play that has defined learning outcomes. Generally, game-based learning is designed to balance
Educational_game
Process of automating the application of machine learning
building a machine learning model ready for deployment. AutoML was proposed as an artificial intelligence-based solution to the growing challenge of applying
Automated_machine_learning
Machine learning strategy
datapoint. As contrasted with Pool-based sampling, the obvious drawback of stream-based methods is that the learning algorithm does not have sufficient
Active learning (machine learning)
Active_learning_(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
Narrative-based learning is a learning model grounded in the theory that humans define their experiences within the context of narratives – which serve
Narrative-based_learning
Machine learning technique
efforts—including some that leverage reinforcement learning (RL)—have encountered significant challenges. Most attempts were either narrow and difficult
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Machine learning technique
formulated the discriminability-based transfer (DBT) algorithm. By 1998, the field had advanced to include multi-task learning, along with more formal theoretical
Transfer_learning
Theoretical basis related to motor learning
individual with a certain degree of challenge. However, the learning potential from this task difficulty level will differ based on the: skill level of the performer
Challenge_point_framework
Range of approaches to teaching
requirement that learning should be based on doing hands-on experiments and activities. Activity-based learning is rooted in the idea that children are
Activity-based learning in India
Activity-based_learning_in_India
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
Decentralized machine learning
which is a current challenge in real-world learning-based robotic tasks. In the paper, Federated Learning is used to learn Vision-based navigation, helping
Federated_learning
Branch of machine learning
seen as low-quality models for that purpose. Most modern deep learning models are based on multi-layered neural networks such as convolutional neural
Deep_learning
Evaluating outside-classroom knowledge
Competency-based learning – Framework for teaching and assessment of learning Competency-based recruitment – Process of recruitment Experiential learning Vocational
Recognition_of_prior_learning
Educational software application
automated recommendations for courses based on a user's skill profile as well as extract metadata from learning materials to make such recommendations
Learning_management_system
American educational software company
headquartered in Fremont, California. The company produced a grade-based line of learning software, edutainment games, and productivity tools. Its titles
The_Learning_Company
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
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
Paradigm of the education field
Evidence-based education is related to evidence-based teaching, evidence-based learning, and school effectiveness research. The evidence-based education
Evidence-based_education
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)
Type of learning disability
Language-based learning disabilities or LBLD are "heterogeneous" neurological differences that can affect skills such as listening, reasoning, speaking
Language-based learning disability
Language-based_learning_disability
Computational model used in machine learning
late 1940s, D. O. Hebb proposed a learning hypothesis based on neural plasticity that became known as Hebbian learning. It was used in many early neural
Neural network (machine learning)
Neural_network_(machine_learning)
Type of approach to problem solving
Developing and Accrediting Work Based Learning – Creating Successful Work Based Learning – Meeting the Skills Challenge for Performance Improvement, Inaugural
Action_learning
Topics referred to by the same term
railway station Carbon Based Lifeforms, a Swedish electronic music duo Cement bond log Cerebellum Challenge-based learning Choice-based lettings (see Public
CBL
Internet platform for data science competitions
machine learning practitioners under Google LLC. Kaggle enables users to find and publish datasets, explore and build models in a web-based data science
Kaggle
American futurist, author, and educator (born 1950)
; Smith, Rachel S.; Smythe, J. Troy; Varon, Rachel K. (2009). Challenge-Based Learning: An Approach for Our Time. Austin, Texas: The New Media Consortium
Laurence_F._Johnson
German-American entrepreneur (born 1967)
development of the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge, and which has since been placed on exhibit in the Smithsonian Institution's
Sebastian_Thrun
Learning technique performed with flashcards
Spaced repetition is an evidence-based learning technique that is usually performed with flashcards. Newly introduced and more difficult flashcards are
Spaced_repetition
Parameter-efficient fine-tuning technique for large language models
models in the late 2010s and early 2020s created substantial computational challenges. GPT-1, released in 2018 with 117 million parameters, cost less than $50
LoRA_(machine_learning)
Concept in education and psychology
or a lack of resources. These challenges demonstrate a notable gap between teachers' beliefs about play-based learning and their classroom practices.
Learning_through_play
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)
Teaching method
Context-based learning (CBL) refers to the use of real-life and fictitious examples in teaching environments in order to learn through the actual, practical
Context-based_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
Technique of inquiry-based learning
Discovery learning is a technique of inquiry-based learning and is considered a constructivist-based approach to education. It is also referred to as problem-based
Discovery_learning
Research field that lies at the intersection of machine learning and computer security
automatically craft binaries to evade learning-based detectors while preserving malicious functionality. Optimization-based attacks such as GAMMA use genetic
Adversarial_machine_learning
Educational technique
active learning can be especially beneficial for international students, helping them overcome some of the challenges posed by traditional lecture-based instruction
Active_learning
Pedagogy combining learning objectives with community service
students of all grades and stages. Projects based in communities are designed to apply classroom learning to create positive change in the community and
Service-learning
Type of large language model
used in generative artificial intelligence chatbots. GPTs are based on a deep learning architecture called the transformer. They are pre-trained on large
Generative pre-trained transformer
Generative_pre-trained_transformer
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
Influential 2012 deep convolutional neural network
the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) and a key resource in the rise of deep learning. Sutskever and Krizhevsky were both graduate
AlexNet
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
Machine learning paradigm
learning more closely imitates the way humans learn to classify objects. During SSL, the model learns in two steps. First, the task is solved based on
Self-supervised_learning
Problem setup in machine learning
predict their class. The name is a play on words based on the earlier concept of one-shot learning in computer vision, in which classification can be
Zero-shot_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)
1987 single by Pink Floyd
"Learning to Fly" is a song by the English progressive rock band Pink Floyd, written by David Gilmour, Anthony Moore, Bob Ezrin, and Jon Carin. It was
Learning to Fly (Pink Floyd song)
Learning_to_Fly_(Pink_Floyd_song)
Mechanism for enabling artificial agents to exhibit curiosity
ability to generalise remains a fundamental challenge in artificial intelligence. Intrinsically motivated learning, although promising in terms of being able
Intrinsic motivation (artificial intelligence)
Intrinsic_motivation_(artificial_intelligence)
Broadbent's Sugar Production Factory task[clarification needed]. The Instance-Based Learning Theory (IBLT) is a theory of how humans make decisions in dynamic tasks
Dynamic_decision-making
Optimization algorithm
become an important optimization method in machine learning. Both statistical estimation and machine learning consider the problem of minimizing an objective
Stochastic_gradient_descent
Deep learning method
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence
Generative adversarial network
Generative_adversarial_network
AI whose outputs can be understood by humans
are based on. This makes it possible to confirm existing knowledge, challenge existing knowledge, and generate new assumptions. Machine learning (ML)
Explainable artificial intelligence
Explainable_artificial_intelligence
Machine learning technique
Exploring the Strategies, Challenges, and Innovations Shaping Modern AI Development Kindle Edition. Menshawy, Ahmed (2018). Deep Learning By Example: A hands-on
Fine-tuning_(deep_learning)
Methods and principles in adult education
andragogy is based on a humanistic conception of self-directed and autonomous learners where teachers are defined as facilitators of learning. Although Malcolm
Andragogy
Learning theory
this kind of learning style prefer to do things practically. They are attracted to new challenges and solve problems intuitively. The learning characteristics
Kolb's_experiential_learning
Cryptography secured against quantum computers
Xiaodong (2012-01-01). "A Simple Provably Secure Key Exchange Scheme Based on the Learning with Errors Problem". Cryptology ePrint Archive. Peikert, Chris
Post-quantum_cryptography
Term in educational psychology
in learning, decisions are made based on properties alone and rely on simple criteria that do not require a lot of memory. Example of rule-based theory:
Concept_learning
Type of feedforward neural network
including text, images and audio. CNNs are the de-facto standard in deep learning-based approaches to computer vision and image processing, and have only recently
Convolutional_neural_network
control, procedural content generation (PCG) and deep learning-based content generation. Machine learning is a subset of artificial intelligence that uses
Machine learning in video games
Machine_learning_in_video_games
American educational entertainment and electronics company
entertainment and electronics company based in Emeryville, California. LeapFrog designs, develops, and markets technology-based learning products and related content
LeapFrog_Enterprises
Type of database that uses vectors to represent other data
from the raw data using machine learning methods such as feature extraction algorithms, word embeddings or deep learning networks. The goal is that semantically
Vector_database
Educational philosophy
Place-based education, sometimes called pedagogy of place, place-based learning, experiential education, community-based education, environmental education
Place-based_education
Learning model
organizations not only correct errors based on existing rules or assumptions (which is known as single-loop learning), but also question and modify the underlying
Double-loop_learning
Education practice
opportunities for interaction online with physical place-based classroom methods. Blended learning requires the physical presence of both teacher and student
Blended_learning
Government school in Singapore
such as Challenge-Based Learning (CBL), Analytical Thinking Skills (ATS), and Applied Learning Programme (ALP). The FRP uses scenario-based activities
Edgefield_Secondary_School
Automated recognition of patterns and regularities in data
Machine Learning. Poddar, Arnab; Sahidullah, Md; Saha, Goutam (March 2018). "Speaker Verification with Short Utterances: A Review of Challenges, Trends
Pattern_recognition
Theory of learning
area. In contrast with other learning technologies burdened with implementation challenges and costs, web-based learning tools are readily accessible
Situated_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
Educational approach
In education, authentic learning is an instructional approach that allows students to explore, discuss, and meaningfully construct concepts and relationships
Authentic_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)
Test to determine whether a user is human
A CAPTCHA (/ˈkæp.tʃə/ KAP-chə) is a type of challenge–response Turing test used in computing to determine whether the user is human in order to deter
CAPTCHA
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
Term used for a gifted student who also possesses at least one disability
profiles that may challenge reciprocal communication and understanding social cues and pacing, which can dramatically impact their learning opportunities
Twice_exceptional
Approach to teaching children to read
It is based on the premise that learning to read English comes naturally to humans, especially young children, in the same way that learning to speak
Whole_language
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
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
Artificial neural network that mimics neurons
unsuitable for gradient-based optimization. Approaches to resolving it include: resorting to entirely biologically inspired local learning rules for the hidden
Spiking_neural_network
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)
Type of machine learning model
can be fine-tuned through reinforcement learning to better satisfy this reward model. LLMs are generally based on the transformer architecture, which leverages
Large_language_model
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
Generalized neurodevelopmental disorder
Intellectual disability (ID), also known as general learning disability (in the United Kingdom), and formerly as mental retardation (in the United States)
Intellectual_disability
patient-centric application of machine learning algorithms. A typical challenge in cost-sensitive machine learning is the reliable determination of the
Cost-sensitive machine learning
Cost-sensitive_machine_learning
Field associated with machine learning and transfer learning
adaptation is a field associated with machine learning and transfer learning. It addresses the challenge of training a model on one data distribution (the
Domain_adaptation
Education with small learning units
of compact e-learning modules that are designed to reduce learner fatigue. The modules can be educational, professional, or skill-based, and are usually
Microlearning
Learning technique
in a pop-up window for computer-based environments. Most implementations of augmented learning are forms of e-learning. In desktop computing environments
Augmented_learning
Model-free reinforcement learning algorithm
Proximal policy optimization (PPO) is a reinforcement learning (RL) algorithm for training an intelligent agent. Specifically, it is a policy gradient
Proximal_policy_optimization
Smooth approximation of one-hot arg max
Ranzato, Marc’Aurelio; Huang, Fu Jie (2006). "A Tutorial on Energy-Based Learning" (PDF). In Gökhan Bakır; Thomas Hofmann; Bernhard Schölkopf; Alexander
Softmax_function
Transmission of knowledge and skills
best available empirical evidence. It includes evidence-based teaching, evidence-based learning, and school effectiveness research. Autodidacticism, or
Education
Measurement of algorithmic bias
Fairness in machine learning (ML) refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions
Fairness_(machine_learning)
Instructional strategy and a type of blended learning
instructional strategy and a type of blended learning. It aims to increase student engagement and learning by having pupils complete readings at home,
Flipped_classroom
School in the United States
not teach any particular subject. All learning is student-directed and project-based. Challenge-Based Learning Hackerspace "US Trademark Registration
Tinkering_School
Machine learning model training problem
In machine learning, the vanishing gradient problem is the problem of greatly diverging gradient magnitudes between earlier and later layers encountered
Vanishing_gradient_problem
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
CHALLENGE BASED-LEARNING
CHALLENGE BASED-LEARNING
Boy/Male
Indian, Punjabi, Sikh
Challenge
Boy/Male
Indian, Punjabi, Sikh
Challenge
Girl/Female
Indian
Challenge
Boy/Male
Arabic, Australian, Muslim
Brave; Face Challenge
Boy/Male
Muslim
Smiling
Boy/Male
Afghan, African, Arabic, Australian, Chinese, Greek, Indian, Muslim
Brave
Boy/Male
Muslim/Islamic
Smiling
Girl/Female
Arabic
Challenger Passionate
Boy/Male
Arabic
A Challenger
Boy/Male
Indian
Challenge Person
Girl/Female
Hindu, Indian
To Challenge
Girl/Female
Indian
Challenge
Boy/Male
Arabic, Australian
Smiling
Boy/Male
Muslim/Islamic
Brave
Surname or Lastname
English
English : from an agent derivative of Middle English chalangen ‘to challenge’ (from Old French chalonger), possibly applied as a nickname for a quarrelsome or litigious person.
Girl/Female
Indian
Exams; Test Challenge
Female
English
English form of French Charline, CHARLENE means "man."
Boy/Male
British, English, Indian, Malayalam, Malaysian, Russian
Challenge of Life
Surname or Lastname
English
English : occupational name for a maker or seller of blankets, from an agent derivative of Middle English chaloun ‘blanket’, ‘coverlet’. The articles were named from being produced in Châlons-sur-Marne, once the seat of a Gaulish tribe recorded in Latin sources as Catalauni.
Boy/Male
Muslim
Brave, Face challenge
CHALLENGE BASED-LEARNING
CHALLENGE BASED-LEARNING
Girl/Female
Hindu, Indian, Traditional
Who Endows Wealth; Lakshmi; Soft
Surname or Lastname
English
English : habitational name for someone from a place called Elham, in Kent, or a lost place of this name in Crayford, Kent. The first is derived from Old English Ç£l ‘eel’ + hÄm ‘homestead’ or hamm ‘enclosure hemmed in by water’. There is also an Elam Grange in Bingley, West Yorkshire, but the current distribution of the name in the British Isles suggests that it did not contribute significantly to the surname.
Surname or Lastname
English and Scottish
English and Scottish : variant of Trumble.
Girl/Female
Indian, Sanskrit
Knowledge; Determination
Girl/Female
African, Arabic, Australian, Muslim, Swahili
Beauty; From Swahili
Girl/Female
Egyptian
From the road.
Girl/Female
Hindu
Biggest in universe, The Sun or the king, Resplendent, Splendor
Boy/Male
Hindu, Indian, Sanskrit
Open Air; Space
Girl/Female
Australian, British, English, Greek
Metal and Light Element
Girl/Female
Indian
Intelligent, Honest
CHALLENGE BASED-LEARNING
CHALLENGE BASED-LEARNING
CHALLENGE BASED-LEARNING
CHALLENGE BASED-LEARNING
CHALLENGE BASED-LEARNING
n.
A rustic play; -- called also prisoner's base, prison base, or bars.
n.
To take exception to; question; as, to challenge the accuracy of a statement or of a quotation.
n.
A challenge.
n.
One who challenges.
n.
A letter of defiance or challenge; a challenge to single combat.
v. t.
To defy or challenge.
imp. & p. p.
of Base
n.
To question or demand the countersign from (one who attempts to pass the lines); as, the sentinel challenged us, with "Who comes there?"
imp. & p. p.
of Challenge
a.
Having a base, or having as a base; supported; as, broad-based.
n.
Defiance; challenge.
n.
An exception to a person as not legally qualified to vote. The challenge must be made when the ballot is offered.
p. pr. & vb. n.
of Challenge
v. t.
To defy; to challenge.
n.
A challenger.
a.
Alloyed with inferior metal; debased; as, base coin; base bullion.
v. t.
To summon; to challenge.
a.
Reduced; lowered; restrained; as, to speak with bated breath.
a.
Morally low. Hence: Low-minded; unworthy; without dignity of sentiment; ignoble; mean; illiberal; menial; as, a base fellow; base motives; base occupations.
n.
Wearing, or protected by, bases.