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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
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
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
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
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
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
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
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
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
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
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 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
Educational strategy
policies to secure learning that meets the need of the workplace. Work-based learning (WBL) is defined differently across contexts: System / policy strand:
Work-based_learning
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
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)
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
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
Educational philosophy
Place-based education, sometimes called pedagogy of place, place-based learning, experiential education, community-based education, environmental education
Place-based_education
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
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
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
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)
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
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
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
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
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)
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
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
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
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)
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
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
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
Study of religious thought and behavior
categories: the context-based model and content-based view of minimal counterintuitiveness. The context-based view emphasizes the role played by context in making
Cognitive_science_of_religion
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
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
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
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)
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)
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
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
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
Type of machine learning model
can typically generate, summarize, translate, and analyze text in many contexts, and are a foundational technology behind modern chatbots. Biased or inaccurate
Large_language_model
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
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
scope that learners undertake in a particular context in order to attain specific learning outcomes A learning nugget task will take a prescribed length of
Learning_nugget
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
Educational software application
programs, materials, or learning and development programs. The learning management system concept emerged directly from e-Learning. Learning management systems
Learning_management_system
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
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 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
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
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
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
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
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
Evaluating outside-classroom knowledge
for the Recognition of Prior Learning that serve to guide and enhance the assessment of learning through RPL across contexts, contribute to organizational
Recognition_of_prior_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
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
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
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
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
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
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
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
Term in educational psychology
Concept learning, also known as category learning, concept attainment, and concept formation, is defined by Bruner, Goodnow, & Austin (1956) as "the search
Concept_learning
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
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)
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
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
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
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
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
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
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)
Theory that describes how students receive, process, and retain knowledge during learning
Geographical learning theory focuses on the ways that contexts and environments shape the learning process. Outside the realm of educational psychology
Learning_theory_(education)
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
Hypothesis that knowing is inseparable from doing
bound to social, cultural and physical contexts. Situativity theorists suggest a model of knowledge and learning that requires thinking on the fly rather
Situated_cognition
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
Method of teaching in which students teach the subject to each other
systematically developed the concept of having students teach other in the context of learning French as a foreign language, and he gave it a theoretical background
Learning_by_teaching
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
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
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
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
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
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
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
Methods to achieve fluency in a target language
of the planning, organization and evaluation of the learning process; Compensatory—using context to make up for missing information in reading and writing;
Language_learning_strategies
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
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
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
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
Concept in natural language processing
analysis) based on Wikipedia and the ODP SSA (salient semantic analysis) which indexes terms using salient concepts found in their immediate context. n° of
Semantic_similarity
2010s with NLP based Chatbots from Haptik, Corover.ai, Niki.ai and then gaining prominence in the early 2020s based on reinforcement learning, marked by breakthroughs
Artificial intelligence in India
Artificial_intelligence_in_India
2023 text-generating language model
aligned by reinforcement learning from human feedback (RLHF), suggestions to assassinate people on a list were elicited from the base model by a red team investigator
GPT-4
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
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
Girl/Female
Hindu
Content
Boy/Male
Tamil
Prineet | பà¯à®°à®¿à®¨à¯€à®¤
Content, Satisfied
Prineet | பà¯à®°à®¿à®¨à¯€à®¤
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
Muslim/Islamic
Smiling
Boy/Male
Muslim
Content, Satisfied
Boy/Male
Muslim
Striving, Contest
Boy/Male
Gujarati, Hindu, Indian, Jain, Kannada, Malayalam, Marathi, Telugu
Content
Boy/Male
Afghan, African, Arabic, Australian, Chinese, Greek, Indian, Muslim
Brave
Boy/Male
Hindu, Indian, Traditional
Content
Boy/Male
Arabic, Australian
Smiling
Boy/Male
Muslim/Islamic
Brave
Girl/Female
Tamil
Content
Girl/Female
British, English
Based
Girl/Female
Tamil
Complete, Content
Girl/Female
Muslim
Content, Satisfied
Boy/Male
Sikh
True content
Boy/Male
Tamil
Content
Surname or Lastname
English (Devon)
English (Devon) : unexplained.
Boy/Male
Muslim
Smiling
Boy/Male
Tamil
Sarnvar | ஸரà¯à®¨à®µà®¾à®°
Content, Best
CONTEXT BASED-LEARNING
CONTEXT BASED-LEARNING
Girl/Female
Muslim
Inexhaustible, Limitless
Surname or Lastname
Muslim
Muslim : from a personal name based on Arabic sulÌ£tÄn ‘ruler’. This was the title of rulers in many parts of the Muslim world, including the monarch of the Ottoman Empire.English : see Soden.Spanish (Sultán), Polish (SuÅ‚tan) : nickname for someone who behaved in an outlandish or autocratic manner, from Arabic sulÌ£tÄn ‘sultan’.
Male
Chinese
handsome hero.
Girl/Female
Hindu
Triumphant (Dhritarastra's charioteer and secretary.)
Boy/Male
English French Latin
Boundary.
Boy/Male
Indian
Clearness, Purity
Girl/Female
Indian
Emotional, The beautiful woman
Surname or Lastname
English and Irish
English and Irish : variant spelling of Parrish.
Boy/Male
Australian, Czech, Czechoslovakian, Danish, Finnish, German, Polish, Slavic, Swedish, Ukrainian
Camp Glory; Fame; Careful; Strength; Glory of the Camp
Boy/Male
Hindu, Indian, Tamil
Lord Murugan
CONTEXT BASED-LEARNING
CONTEXT BASED-LEARNING
CONTEXT BASED-LEARNING
CONTEXT BASED-LEARNING
CONTEXT BASED-LEARNING
n.
An expression of assent to a bill or motion; an affirmative vote; also, a member who votes "Content.".
n. pl.
See Content, n.
n.
A rustic play; -- called also prisoner's base, prison base, or bars.
v. t.
To context.
imp. & p. p.
of Base
n.
Concert of voices; concord of sounds; harmony; as, a concent of notes.
a.
Alloyed with inferior metal; debased; as, base coin; base bullion.
n.
Wearing, or protected by, bases.
n.
A convex body or surface.
a.
Convex on both sides; double convex. See under Convex, a.
n.
That which contents or satisfies; that which if attained would make one happy.
pl.
of Content
n.
Area or quantity of space or matter contained within certain limits; as, solid contents; superficial contents.
v. t.
To struggle for; to contest.
n.
Quarrel; contention; contest.
v. t.
To strive or contend about; to contest.
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.
An act or expression denoting contempt.
a.
Having a base, or having as a base; supported; as, broad-based.
v. t.
To connect.