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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
Structuring text as input to generative artificial intelligence
changes, in-context learning is temporary. Training models to perform in-context learning can be viewed as a form of meta-learning, or "learning to learn"
Prompt_engineering
Learner centric pedagogy
Project-based learning is a teaching method that involves a dynamic classroom approach in which it is believed that students acquire a deeper knowledge
Project-based_learning
Theory and philosophy of learning
education) – Theory of knowledge Context-based learning Contextual learning Cooperative education – Type of education Design-based learning – Learner centric pedagogy
Experiential_learning
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
Learner centric pedagogy
instead of in a subject-based approach. Phenomenon-based learning includes both topical learning (also known as topic-based learning or instruction), where
Phenomenon-based_learning
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
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
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
Pedagogical approach
paradigm. In "strong" task-based learning lessons, learners are responsible for selecting the appropriate language for any given context themselves. The instructors
Task-based_language_teaching
Learning outside the classroom
Contextual learning is based on a constructivist theory of teaching and learning. Learning takes place when teachers are able to present information in
Contextual_learning
Protocol for communicating between LLMs and applications
The Model Context Protocol (MCP) is an open standard and open-source framework introduced by Anthropic in November 2024 to standardize the way artificial
Model_Context_Protocol
Process of acquiring new knowledge
of the context of the facts learned. Evidence-based learning is the use of evidence from well designed scientific studies to accelerate learning. Evidence-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
Educational strategy
policies to secure learning that meets the needs of the workplace. Work-based learning (WBL) is defined differently across contexts: System / policy strand:
Work-based_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
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
Social context in understanding culture
high-context and low-context cultures are ends of a continuum of how explicit the messages exchanged in a culture are and how important the context is in
High-context and low-context cultures
High-context_and_low-context_cultures
Framework for teaching and assessment of learning
type of education based on predetermined "competencies," which focuses on outcomes and real-world performance. Competency-based learning is sometimes presented
Competency-based_learning
Subset of artificial intelligence
performing either supervised learning, reinforcement learning, or unsupervised learning. They seek to identify a set of context-dependent rules that collectively
Machine_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)
Machine learning paradigm
than relying on externally-provided labels. In the context of neural networks, self-supervised learning aims to leverage inherent structures or relationships
Self-supervised_learning
Educational philosophy
Place-based education, sometimes called pedagogy of place, place-based learning, experiential education, community-based education, environmental education
Place-based_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)
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
Educational psychology concept
Transfer of learning occurs when people apply information, strategies, and skills they have learned to a new situation or context. Transfer is not a discrete
Transfer_of_learning
Memorization technique based on repetition
Rote learning is a memorization technique based on repetition. The method rests on the premise that the recall of repeated material becomes faster the
Rote_learning
Class of statistical modeling methods
statistical modeling methods often applied in pattern recognition and machine learning and used for structured prediction. Whereas a classifier predicts a label
Conditional_random_field
Learning technique performed with flashcards
increase the rate of learning. Although the principle is useful in many contexts, spaced repetition is commonly applied in contexts in which a learner must
Spaced_repetition
Deep learning architecture
integrate the entire sequence context and apply the most relevant expert for each token. Language modeling Transformer (machine learning model) State-space model
Mamba (deep learning architecture)
Mamba_(deep_learning_architecture)
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)
the sites where L2 learning occurs: the formal site (i.e. the educational context), and the informal site (i.e. the cultural context). Gardner argued that
Motivation in second-language learning
Motivation_in_second-language_learning
Educational practice of interaction among students
Boud describe peer learning as a way of moving beyond independent to interdependent or mutual learning among peers. In this context, it can be compared
Peer_learning
Branch of machine learning
extended deep learning from TIMIT to large vocabulary speech recognition, by adopting large output layers of the DNN based on context-dependent HMM states
Deep_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
Theory of learning
provide the proper context and facilitate learning. Situated learning was first proposed by Jean Lave and Etienne Wenger as a model of learning in a community
Situated_learning
Education focused on developing personal skills
central feature of LSBE pedagogy is its emphasis on experiential and context-based learning, in which educational activities are designed to reflect real-life
Life_skills-based_education
Computational model used in machine learning
than relying on externally-provided labels. In the context of neural networks, self-supervised learning aims to leverage inherent structures or relationships
Neural network (machine learning)
Neural_network_(machine_learning)
Approach to teaching children to read
effectiveness. It is based on the premise that learning to read English comes naturally to humans, especially young children, in the same way as learning to speak
Whole_language
Machine learning technique
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning (PDF). Advances in Neural Information Processing Systems. Vol. 35.
Fine-tuning_(deep_learning)
Type of machine learning model
designed. One of the emergent abilities is in-context learning from example demonstrations. In-context learning is involved in tasks, such as: reported arithmetics
Large_language_model
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
Software engineering concept
contextually appropriate responses. In deep learning-based language models like GPT-4 or BERT, the context model is an inherent part of the architecture
Context_model
Set of learning techniques in machine learning
used, and not the ordering or entire set of context words. More recent transformer-based representation learning approaches attempt to solve this with word
Feature_learning
Highlighting a theme for teaching purposes
place-based education, project-based education, and cooperative learning. When thematic instruction takes place along with cooperative learning, the advantages
Thematic_learning
2020 text-generating language model
occupies 2 bytes. It has a context window size of 2,048 tokens, and has demonstrated strong "zero-shot" and "few-shot" learning abilities on many tasks.
GPT-3
Overview of and topical guide to machine learning
handling (GMDH) Inductive logic programming Instance-based learning Lazy learning Learning Automata Learning Vector Quantization Logistic Model Tree Minimum
Outline_of_machine_learning
Concept that some difficulty can assist learning
is also described as a learning level achieved through a sequence of learning tasks and feedback that lead to enhanced learning and transfer. As the name
Desirable_difficulty
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
2017 research paper by Google
research paper in machine learning authored by eight scientists and engineers working at Google. The paper introduced a new deep learning architecture known
Attention_Is_All_You_Need
Education practice
professional development and training settings. Since blended learning is highly context-dependent, a universal conception of it is difficult. Some reports
Blended_learning
Concept in education and psychology
Contemporary theories emphasize the role of social and cultural contexts in children's learning and development. Rousseau's work on children's rights and the
Learning_through_play
Theory of learning and behaviour
observing and imitating others. It states that learning is a cognitive process that occurs within a social context and can occur purely through observation
Social_learning_theory
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
Category of learning situation
Informal learning is characterized by a low degree of planning and organizing of the learning context, learning support, learning time, and learning objectives
Informal_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
Reinforcement learning method
In reinforcement learning, error-driven learning is a method for adjusting a model's (intelligent agent's) parameters based on the difference between its
Error-driven_learning
Overview of and topical guide to deep learning
and topical guide to, deep learning: Deep learning is a subfield of machine learning and artificial intelligence based on artificial neural networks
Outline_of_deep_learning
Use of computational tools for the study of linguistics
a limitation for the models at the time because the now available deep learning models were not available in late 1980s. It has been shown that languages
Computational_linguistics
Term in education
learning environment can refer to an educational approach, cultural context, or physical setting (the learning space) in which teaching and learning occur
Learning_environment
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
Model of learning
summary is based upon Rousse and Dreyfus, "Revisiting the Six Stages of Skill Acquisition." Stage 1: Novice Novices rely heavily on context-free rules
Dreyfus model of skill acquisition
Dreyfus_model_of_skill_acquisition
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
Type of data compression algorithm
active area of research in machine learning.[citation needed] The PAQ series of data compression programs use context mixing to assign probabilities to
Context_mixing
Learning management system
Kannu is a learning management system, purpose-built for creative education in music, arts, and design. It was released by California-based company Kadenze
Kannu (learning management system)
Kannu_(learning_management_system)
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 approach aiming to promote learning by using video game design and elements
Similarly, in learning contexts, the unique needs of each set of learners, along with the specific learning objectives relevant to that context must inform
Gamification_of_learning
Long-established customs traditionally used in schools
abandoned in favor of student centered and task-based approaches to learning. Depending on the context, the opposite of traditional education may be progressive
Traditional_education
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
Theory of categorization in psychology
"Distinguishing prototype-based and exemplar-based processes in dot-pattern category learning", Journal of Experimental Psychology: Learning, Memory, and Cognition
Prototype_theory
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
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
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
Educational technique
useful context in problem-based learning: Mark A Albanese, Laura C Dast (2013-10-22). Understanding Medical Education - Problem-based learning. doi:10
Active_learning
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
Steps of using content based instruction for second language learners
that the curriculum is based on a certain subject matter and communicative competence is acquired in the context of learning about certain topics in
Content-based_instruction
Theory and practice of education
skills are imparted in an educational context, and it considers the interactions that take place during learning. Both the theory and practice of pedagogy
Pedagogy
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
Models used to produce word embeddings
relationships between words. In particular, words which appear in similar contexts are mapped to vectors which are nearby as measured by cosine similarity
Word2vec
Anglican theological college in the United Kingdom
the Diocese of Manchester, the college has pioneered patterns of context-based learning and innovative approaches to contextual theology for over twenty
Westcott_House,_Cambridge
and their interpersonal communities, knowledge contexts, and digital technologies. Networked learning can offer educational institutions more functional
Networked_learning
Improved recall when the context of a situation is the same
memory, state-dependent learning, cognitive context-dependent memory and mood-congruent memory. Research has also shown that context-dependence may play an
Context-dependent_memory
Class of artificial neural network
forward and a learning rule is applied. The fixed back-connections save a copy of the previous values of the hidden units in the context units (since they
Recurrent_neural_network
Machine-learning process
approach is based on distributional learning. Algorithms using these approaches have been applied to learning context-free grammars and mildly context-sensitive
Grammar_induction
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
Extension of the Web to facilitate data exchange
A smart citation index that displays the context of citations and classifies their intent using deep learning". Quantitative Science Studies. 2 (3): 882–898
Semantic_Web
problem-solving within an integrated learning context, which can be examined from multiple perspectives. "In other words, the learning is contextualized to provide
Anchored_Instruction
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
Type of memory referring to general world knowledge
through sensorimotor simulation. A grounded simulation approach refers to context-specific re-activations that integrate the important features of episodic
Semantic_memory
Software agent which acts autonomously
autonomously to achieve goals, and may improve its performance through machine learning or by acquiring knowledge.[citation needed] AI textbooks[which?] define
Intelligent_agent
Parameter-efficient fine-tuning technique for large language models
broadly to any dense layers in deep learning models, though it has been most extensively studied in the context of large language models. After training
LoRA_(machine_learning)
Machine translation cloud service by Microsoft
from one natural language to another. This system is based on four distinct areas of computer learning research seen below. The quality of Microsoft Translator's
Microsoft_Translator
Voice clips generated by AI
replay-based attacks. A current technique that detects end-to-end replay attacks is the use of deep convolutional neural networks. The category based on speech
Audio_deepfake
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
Computerized information extraction from images
feature-based methods used in conjunction with machine learning techniques and complex optimization frameworks. The advancement of Deep Learning techniques
Computer_vision
Method in natural language processing
models" to reduce the high dimensionality of word representations in contexts by "learning a distributed representation for words". A study published in NeurIPS
Word_embedding
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
Educational approach
authentic learning is an instructional approach that allows students to explore, discuss, and meaningfully construct concepts and relationships in contexts that
Authentic_learning
Paradigm of rule-based machine learning methods
Learning classifier systems, or LCS, are a paradigm of rule-based machine learning methods that combine a discovery component (e.g. typically a genetic
Learning_classifier_system
Largely debunked theories that aim to account for differences in individuals' learning
Learning styles refer to a range of theories that aim to account for differences in individuals' learning. Although there is ample evidence that individuals
Learning_styles
CONTEXT BASED-LEARNING
CONTEXT BASED-LEARNING
Boy/Male
Afghan, African, Arabic, Australian, Chinese, Greek, Indian, Muslim
Brave
Boy/Male
Muslim
Smiling
Boy/Male
Muslim
Striving, Contest
Girl/Female
Tamil
Complete, Content
Boy/Male
Muslim/Islamic
Brave
Surname or Lastname
English (Devon)
English (Devon) : unexplained.
Girl/Female
Hindu
Content
Boy/Male
Hindu, Indian, Traditional
Content
Boy/Male
Tamil
Content
Boy/Male
Muslim
Content, Satisfied
Surname or Lastname
Italian
Italian : from the title of rank conte ‘count’ (from Latin comes, genitive comitis ‘companion’). Probably in this sense (and the Late Latin sense of ‘traveling companion’), it was a medieval personal name; as a title it was no doubt applied ironically as a nickname for someone with airs and graces or simply for someone who worked in the service of a count.English : variant of Count, cognate with 1.French : nickname for someone in the service of a count or for someone who behaved pretentiously, from Old French conte, cunte ‘count’ (of the same derivation as 1).French (Conté) : variant of Comté (see Comte).
Boy/Male
Tamil
Prineet | பà¯à®°à®¿à®¨à¯€à®¤
Content, Satisfied
Prineet | பà¯à®°à®¿à®¨à¯€à®¤
Girl/Female
British, English
Based
Girl/Female
Muslim
Content, Satisfied
Boy/Male
Arabic, Australian
Smiling
Boy/Male
Tamil
Sarnvar | ஸரà¯à®¨à®µà®¾à®°
Content, Best
Sarnvar | ஸரà¯à®¨à®µà®¾à®°
Boy/Male
Gujarati, Hindu, Indian, Jain, Kannada, Malayalam, Marathi, Telugu
Content
Girl/Female
Tamil
Content
Boy/Male
Muslim/Islamic
Smiling
Boy/Male
Sikh
True content
CONTEXT BASED-LEARNING
CONTEXT BASED-LEARNING
Girl/Female
Indian
Shape
Boy/Male
Hindu, Indian, Sanskrit, Tamil, Turkish
Wave
Boy/Male
Christian, German, Hindu, Indian
Humble; Knowledgeable
Boy/Male
Indian
Servant of the capable, Servant of the powerful (Allah)
Boy/Male
American, Australian
One who is Faithful
Boy/Male
Latin
Mythical keeper of the winds.
Girl/Female
Indian, Telugu
One who Gives Shelter; Depends
Boy/Male
Italian Spanish American
peaceful ruler'.
Surname or Lastname
Irish (of English origin)
Irish (of English origin) : habitational name from Dovedale in Derbyshire, ‘valley (Middle English dale) of the river Dove’ (see Dove 1).Irish : English surname adopted by bearers of Gaelic Ó Dubhdáleithe (see Dudley 2).English : habitational name from a lost place Ovedale or Uvedale, which gave rise to the 14th-century surname de Uvedale alias de Ovedale, connected with the manor of D’Oversdale in Litlington, Cambridgeshire; this is first recorded as ‘manor of Overdale otherwise Dowdale’ in 1408.
Boy/Male
Tamil
With smile
CONTEXT BASED-LEARNING
CONTEXT BASED-LEARNING
CONTEXT BASED-LEARNING
CONTEXT BASED-LEARNING
CONTEXT BASED-LEARNING
n.
A convex body or surface.
a.
Having a base, or having as a base; supported; as, broad-based.
n.
That which is contained; the thing or things held by a receptacle or included within specified limits; as, the contents of a cask or bale or of a room; the contents of a book.
n.
That which contents or satisfies; that which if attained would make one happy.
n.
Area or quantity of space or matter contained within certain limits; as, solid contents; superficial contents.
v. t.
To connect.
pl.
of Content
n.
Quarrel; contention; contest.
a.
Alloyed with inferior metal; debased; as, base coin; base bullion.
v. t.
To strive or contend about; to contest.
n.
A rustic play; -- called also prisoner's base, prison base, or bars.
n.
An expression of assent to a bill or motion; an affirmative vote; also, a member who votes "Content.".
n.
Wearing, or protected by, bases.
n.
Concert of voices; concord of sounds; harmony; as, a concent of notes.
v. t.
To context.
a.
Convex on both sides; double convex. See under Convex, a.
n.
An act or expression denoting contempt.
n. pl.
See Content, n.
imp. & p. p.
of Base
v. t.
To struggle for; to contest.