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Explanation-based learning (EBL) is a form of machine learning that exploits a very strong, or even perfect, domain theory (i.e. a formal theory of an
Explanation-based_learning
Term in educational psychology
compromise between exemplar and prototype models. The basic idea of explanation-based learning suggests that a new concept is acquired by experiencing examples
Concept_learning
AI whose outputs can be understood by humans
approaches to machine learning relying on explanation-based learning, such as PROTOS, made use of explicit representations of explanations expressed in a dedicated
Explainable artificial intelligence
Explainable_artificial_intelligence
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
Problem setup in machine learning
computational biology abstract reasoning Few-shot learning Transfer learning Fast mapping Explanation-based learning Xian, Yongqin; Lampert, Christoph H.; Schiele
Zero-shot_learning
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
Overview of and topical guide to machine learning
learning) Explanation-based learning Feature GloVe Hyperparameter Inferential theory of learning Learning automata Learning classifier system Learning rule
Outline_of_machine_learning
Pedagogical approach
task-based learning processes. According to Jon Larsson, in considering problem-based learning for language learning, i.e., task-based language learning:
Task-based_language_teaching
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
Model for music education
achievement in the greater field of music learning theory. The theory is an explanation of music learning, based on audiation (see below) and students' individual
Gordon_music_learning_theory
Right to have an algorithm explained
intelligence and its subfield of machine learning, a right to [an] explanation is a right to be given an explanation for an output of the algorithm. Such
Right_to_explanation
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
Form of informational media
being about learning through play. The related term "active essays" was used by Alan Kay to refer to text-based explorable explanations, and a major
Explorable_explanation
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
Subfield of machine learning
(model-based) learning effective distance metrics (metrics-based) explicitly optimizing model parameters for fast learning (optimization-based). Model-based
Meta-learning (computer science)
Meta-learning_(computer_science)
American-bred Thoroughbred racehorse
the cause of death of the racehorse Swale inspired the SWALE explanation-based learning system which detects and explains anomalies in horses. Swale posthumously
Swale_(horse)
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
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
Philosophical problem-solving principle
argument based on causality. Hence, Aquinas acknowledges the principle that today is known as Occam's razor, but prefers causal explanations to other
Occam's_razor
Problem in network theory
Big data Explanation-based learning List of datasets for machine learning research Predictive analytics Seq2seq Fairness (machine learning) Embedding
Link_prediction
Learning using logic Inductive logic programming – Learning logic programs from data Explanation based learning Relevance based learning Case based reasoning –
Outline of artificial intelligence
Outline_of_artificial_intelligence
Ensemble learning method
Predictors". Machine Learning. 37 (3): 297–336. doi:10.1023/A:1007614523901. S2CID 2329907. Zhou, Zhihua (2008). "On the margin explanation of boosting algorithm"
Boosting_(machine_learning)
Largely debunked theories that aim to account for differences in individuals' learning
Follow-up studies concluded that learning styles had no effect on student retention of material whereas another explanation, dual coding, had a substantial
Learning_styles
Topics referred to by the same term
Electron-beam lithography Electronic brakeforce limitation Explanation-based learning, a form of machine learning Extragalactic background light, all the accumulated
EBL
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)
German-American entrepreneur (born 1967)
co-director of the Robot Learning Laboratory at CMU. As a faculty member at CMU, he co-founded the Master's Program in Automated Learning and Discovery, which
Sebastian_Thrun
Intelligence of machines
worked. Alongside thorough testing and improvement based on previous decisions, having an explanation for why the agent took certain decisions is a way
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
Psychological sensation and phenomenon
familiarity. Recollection-based recognition is the ostensible realization that the current situation has occurred before. Familiarity-based recognition is the
Déjà_vu
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)
Cognitive bias about one's own skill
factors as the cause. The metacognitive explanation rests on the idea that part of acquiring a skill consists in learning to distinguish between good and bad
Dunning–Kruger_effect
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
Learning that occurs through observing the behaviour of others
Observational learning is learning that occurs through observing the behavior of others. It is a form of social learning which takes various forms, based on various
Observational_learning
In machine learning, first-order inductive learner (FOIL) is a rule-based learning algorithm. Developed in 1990 by Ross Quinlan, FOIL learns function-free
First-order_inductive_learner
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 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
Aspect of cognitive load theory
studying worked example to learning with problem-solving.[page needed] According to Renkl, self-explanations are "explanations provided by learners and
Worked-example_effect
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
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
Class of artificial neural network
unrolled. The effect of memory-based learning for the recognition of sequences can also be implemented by a more biological-based model which uses the silencing
Recurrent_neural_network
Tree-based ensemble machine learning methods
small family of machine learning models that are easily interpretable along with linear models, rule-based models, and attention-based models. This interpretability
Random_forest
Image-generating machine learning model
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology
Stable_Diffusion
Technique using a large language model as an evaluator
natural-language explanation for its decision. Sources also call the technique "LLM-based evaluation", "LLM evaluator", or "language model-based evaluation"
LLM-as-a-Judge
Framework for mathematical analysis of machine learning
Moran, Shay; Yehudayoff, Amir (2015). "Sample compression schemes for VC classes". arXiv:1503.06960 [cs.LG]. Interactive explanation of PAC learning
Probably approximately correct learning
Probably_approximately_correct_learning
Transmission of knowledge and skills
best available empirical evidence. It includes evidence-based teaching, evidence-based learning, and school effectiveness research. Autodidacticism, or
Education
Support given to a student by an instructor
Retrieved 2022-11-16. "Inquiry-based Learning: Explanation". WNET. Retrieved 2022-11-16. McCarthy, John. "Student-Centered Learning: It Starts With the Teacher"
Instructional_scaffolding
Neuroscientific theory
often regarded as the neuronal basis of unsupervised learning. Hebbian theory provides an explanation for how neurons might connect to become engrams, which
Hebbian_theory
Method of teaching in which students teach the subject to each other
A related method is the plastic platypus learning or platypus learning technique. This technique is based on evidence that show that teaching an inanimate
Learning_by_teaching
Concept describing the stages of learning
Shuhari (Japanese: 守破離) is a Japanese concept that describes the stages of learning to mastery. Shuhari is usually translated as "follow the rules, break the
Shuhari
Theory of learning and behaviour
population-based metaheuristic optimization algorithm. This algorithm is based on the social cognitive theory, simulating the process of individual learning of
Social_learning_theory
Learning style
Visual learning is one of the learning styles in which information is primarily received and understood by a learner when presented in a visual format
Visual_learning
Educational phenomenon of greatly improved performance by tutored learners
cognitive tutors and learning management systems. Mastery learning is an educational philosophy first proposed by Bloom in 1968 based on the premise that
Bloom's_2_sigma_problem
American education technology company
The crowdsourced learning platform contains practice problems, study guides, infographics, class notes, step-by-step explanations, essays, lab reports
Course_Hero
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
2023 text-generating language model
an explanation as to how and why it makes its decisions but these explanations are formed post-hoc; it's impossible to verify if those explanations truly
GPT-4
Concept in machine learning
measured by the local Hessian curvature. This explanation is formalized through PAC-Bayes compression-based generalization bounds, which show that less
Double_descent
Methods in artificial intelligence research
intelligence or logic-based artificial intelligence) is the term for the collection of all methods in artificial intelligence research that are based on high-level
Symbolic artificial intelligence
Symbolic_artificial_intelligence
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
Learning with the use of more than one sense
Hattie, John; O’Leary, Timothy (April 1, 2025). "Learning Styles, Preferences, or Strategies? An Explanation for the Resurgence of Styles Across Many Meta-analyses"
Multisensory_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
Aspect of learning procedure
classical conditioning from other forms of associative learning (e.g., instrumental learning and human associative memory); a number of observations
Classical_conditioning
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
Theory that describes how students receive, process, and retain knowledge during learning
information did not help the subjects; instead it impeded their learning. One explanation of why transfer does not occur often involves surface structure
Learning_theory_(education)
Educational approach
In education, authentic learning is an instructional approach that allows students to explore, discuss, and meaningfully construct concepts and relationships
Authentic_learning
Type of statistical inference
Vapnik (1998). "Learning by Transduction." An early explanation of transductive learning. "A Discussion of Semi-Supervised Learning and Transduction
Transduction (machine learning)
Transduction_(machine_learning)
Video presenting educational material
Animated video lessons, in particular, use engaging visuals and simplified explanations to help break down complex topics, making them especially effective in
Video_lesson
(headache, chest and abdominal pain). The specialisation uses the explanation-based learning algorithm to create a treebank from the training corpus. These
MedSLT
Mechanism for enabling artificial agents to exhibit curiosity
however, this homeostatic view was criticised by White. An alternative explanation from Berlyne in 1960 was the pursuit of an optimal balance between novelty
Intrinsic motivation (artificial intelligence)
Intrinsic_motivation_(artificial_intelligence)
Machine learning technique
Mixture of experts (MoE) is a machine learning technique where multiple expert networks (learners) are used to divide a problem space into homogeneous
Mixture_of_experts
Classification system in education
divides learning objectives into three broad domains: cognitive (knowledge-based), affective (emotion-based), and psychomotor (action-based), each with
Bloom's_taxonomy
Cognitive science principles of effective multimedia learning
differences in learning theories as explanations for the differences between virtual and physical environments as a post-mortem explanation. When virtual
E-learning_(theory)
Type of learning powerful enough to revise worldview and self-perception
may offer some explanation about the role emotions play, closing the gap between rationality and emotion in the transformative learning process. Taylor
Transformative_learning
Method of problem-solving
Edward Lee Thorndike was the initiator of the theory of trial and error learning based on the findings he showed how to manage a trial-and-error experiment
Trial_and_error
Awareness of facts
knowledge learning based on the cognitive processes involved: learning of labels and names, of facts and lists, and of organized discourse. Learning labels
Declarative_knowledge
Method in education
assessment for learning, including diagnostic testing, is a range of formal and informal assessment procedures conducted by teachers during the learning process
Formative_assessment
Stable natural languages that have developed from a pidgin
Another problem with the FT explanation is its potential circularity. Bloomfield (1933) points out that FT is often based on the imitation of the incorrect
Creole_language
Assumptions for inference in machine learning
linear regression models). Learning involves searching a space of solutions for a solution that provides a good explanation of the data. However, in many
Inductive_bias
Medical diagnostic method
Children's Nonverbal Learning Disabilities Scale (C-NLD) is an assessment that screens for the symptoms for nonverbal learning disabilities in children
Children's Nonverbal Learning Disabilities Scale
Children's_Nonverbal_Learning_Disabilities_Scale
Web based learning management system
a web-based learning management system for teaching, education, assessment and communication. The name OpenOLAT stands for Open Online Learning And Training
OpenOLAT
Learning technique
manifestations of CALL, such as those utilized virtual learning environment and Web-based distance learning. It also extends to the use of corpora and concordancers
Computer-assisted language learning
Computer-assisted_language_learning
Decision-making process conducted with varying degrees of human oversight
computational power with GPU coprocessors and cloud computing. Machine learning systems based on foundation models run on deep neural networks and use pattern
Automated_decision-making
Carnot's theory; see below. For most scientists of Carnot's time the best explanation of heat was the caloric theory. It held that heat is a material fluid
Carnot_engine_explanation
Adaptive boosting based classification algorithm
Zhihua (2008). "On the margin explanation of boosting algorithm" (PDF). In: Proceedings of the 21st Annual Conference on Learning Theory (COLT'08): 479–490
AdaBoost
Study of psychological theories of learning
self-regulation. Motivation, a psychological component related to learning, also has an explanation through neuroscience. Overall, the brain has a disposition
Psychology_of_learning
Instructional strategy and educational philosophy
student needs. Mastery learning (or, as it was initially called, "learning for mastery"; also known as "mastery-based learning") is an instructional strategy
Mastery_learning
Ability to learn vocalization
why vocal learning is so rare. One proposed explanation is that predatory pressure applies a strong selective force against vocal learning. If mates prefer
Vocal_learning
Memory effect in educational psychology
recall, practice testing, or test-enhanced learning) suggests long-term memory is increased when part of the learning period is devoted to retrieving information
Testing_effect
Mathematical theory
inference is based on E. Mark Gold's model of learning in the limit from 1967 and has developed since then more and more models of learning. The general
Solomonoff's theory of inductive inference
Solomonoff's_theory_of_inductive_inference
Model of algorithmic learning
learnability. Occam Learning is named after Occam's razor, which is a principle stating that, given all other things being equal, a shorter explanation for observed
Occam_learning
Distance from a data point to a decision boundary
justifications (based on the VC dimension) as to why maximizing the margin (under some suitable constraints) may be beneficial for machine learning and statistical
Margin_(machine_learning)
Interplay between observation, experiment, and theory in science
(hypothetical explanations), predicting the logical consequences of hypothesis, then carrying out experiments or empirical observations based on those predictions
Scientific_method
connections while we are awake. Learning is the process of strengthening connections, therefore this process could be a major explanation for the benefits that
Sleep_and_learning
Reverse-engineering neural networks
weights of machine learning models. This contrasts with earlier interpretability methods that focused primarily on "black box" explanations. This hypothesis
Mechanistic_interpretability
Deep learning artificial intelligence research team
Google Brain was a deep learning artificial intelligence research team that served as the sole AI branch of Google before being incorporated under the
Google_Brain
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
Psychological concept
effect is also prominent in decision making based on experience in a repeated-choice paradigm, a learning process also known as operant conditioning.
Serial-position_effect
Concept on humans' and animals' use of past learning in present situations
other animals, and artificial neural networks use past learning in present situations of learning if the conditions in the situations are regarded as similar
Generalization_(learning)
Fundamental unit of cognition
often based on exact definitions, typically with the goal of eliminating ambiguity and ensuring consistent measurement, prediction, and explanation. More
Concept
Process of drawing correct inferences
ravens are black" based on many individual observations of black ravens. Abductive reasoning, also known as "inference to the best explanation", starts from
Logical_reasoning
Education of children outside of a school
David M.; Callanan, Maureen (October 2017). "Causal learning is collaborative: Examining explanation and exploration in social contexts". Psychonomic Bulletin
Homeschooling
EXPLANATION BASED-LEARNING
EXPLANATION BASED-LEARNING
Boy/Male
Muslim/Islamic
Smiling
Boy/Male
English
Phonetic name based on initials.
Girl/Female
Australian, Finnish, Swedish
Happy Exclamation; Happy
Male
Egyptian
, the father of Hor-imhotep.
Boy/Male
English
Phonetic name based on initials.
Girl/Female
Indian
Explanation, Detail
Boy/Male
Tamil
Base
Girl/Female
Arabic, Muslim
Explanation; Detail; Paraphrase
Girl/Female
British, English
Based
Boy/Male
Arabic, French, Hindu, Indian, Marathi, Muslim, Sindhi
Joy; Solved; Based
Girl/Female
Indian, Sikh
Religious Explanation
Girl/Female
Muslim
Explanation, Detail
Boy/Male
Afghan, African, Arabic, Australian, Chinese, Greek, Indian, Muslim
Brave
Boy/Male
Muslim/Islamic
Brave
Boy/Male
Indian
Base
Boy/Male
Muslim
Smiling
Girl/Female
Dutch, German, Indian, Punjabi, Sikh
Explanation
Girl/Female
Bengali, Indian, Telugu
Explanation or Clarification
Boy/Male
Hindu, Indian
Explanation
Boy/Male
Arabic, Australian
Smiling
EXPLANATION BASED-LEARNING
EXPLANATION BASED-LEARNING
Boy/Male
Indian
Useful, Helpful
Girl/Female
Muslim/Islamic
Graceful heavenly
Boy/Male
British, English
Son of Rawley or Raleigh
Boy/Male
Slavic
Christian.
Boy/Male
Arabic, Australian
Bold
Boy/Male
Hindu, Indian, Telugu
Abode of Happiness
Female
English
British English form of Latin Honora, HONOUR means "honor, valor."
Male
English
Short form of English Clinton, CLINT means "settlement near the headland."Â
Boy/Male
Scottish English
Strong.
Girl/Female
Arabic, Muslim
Imperative; Essential
EXPLANATION BASED-LEARNING
EXPLANATION BASED-LEARNING
EXPLANATION BASED-LEARNING
EXPLANATION BASED-LEARNING
EXPLANATION BASED-LEARNING
a.
Reduced; lowered; restrained; as, to speak with bated breath.
n.
Explanation; representation.
n.
The act of opening, unfolding, or explaining; explanation; exposition; interpretation.
imp. & p. p.
of Base
n.
Wearing, or protected by, bases.
n.
A rustic play; -- called also prisoner's base, prison base, or bars.
a.
Not held by honorable service; as, a base estate, one held by services not honorable; held by villenage. Such a tenure is called base, or low, and the tenant, a base tenant.
n.
A mark or sign by which outcry or emphatic utterance is marked; thus [!]; -- called also exclamation point.
a.
Alloyed with inferior metal; debased; as, base coin; base bullion.
a.
Having a base, or having as a base; supported; as, broad-based.
n.
An erroneous explanation.
n.
A mutual exposition of terms, meaning, or motives, with a view to adjust a misunderstanding, and reconcile differences; reconciliation; agreement; as, to come to an explanation.
n.
Explanation; display.
a.
Morally low. Hence: Low-minded; unworthy; without dignity of sentiment; ignoble; mean; illiberal; menial; as, a base fellow; base motives; base occupations.
n.
The act of exploring, penetrating, or ranging over for purposes of discovery, especially of geographical discovery; examination; as, the exploration of unknown countries
n.
The meaning attributed to anything by one who explains it; definition; interpretation; sense.
n.
A pie; baked food.
n.
That which explains or makes clear; as, a satisfactory explanation.
a.
Deep or grave in sound; as, the base tone of a violin.
n.
The act of explaining, expounding, or interpreting; the act of clearing from obscurity and making intelligible; as, the explanation of a passage in Scripture, or of a contract or treaty.