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...

Project-based learning is a teaching method that involves a dynamic classroom approach in which it is believed that students acquire a deeper knowledge...

learning communities Confidence-based learning – Learning system Design-based learning – Learner centric pedagogy E-learning (theory) – Cognitive science...

Inquiry-based learning (also spelled as enquiry-based learning in British English) is a form of active learning that starts by posing questions, problems...

Design-based research (DBR) is a type of research methodology used by researchers in the learning sciences, which is a sub-field of education. The basic...

Problem-based learning (PBL) is a teaching method in which students learn about a subject through the experience of solving an open-ended problem found...

encompasses several domains including learning theory, computer-based training, online learning, and m-learning where mobile technologies are used. The...

Universal Design for Learning (UDL) is an educational framework based on research in the learning theory, including cognitive neuroscience, that guides...

design is part of the larger movement towards evidence-based practices. Evidence-based design (EBD) was popularized by the seminal study by Ulrich (1984)...

Action teaching Design-based learning Experiential learning Inquisitive learning Learning environment Learning space Organizational learning Oswego Movement...

solving. Game-based learning (GBL) is a type of game play that has defined learning outcomes. Generally, game-based learning is designed to balance subject...

prototyping Design research Design science Design theory Design thinking Design-based learning Evidence-based design Global Design Database List of design awards...

Context-based learning Contextual learning Cooperative education – Type of education Design-based learning – Learner centric pedagogy Discovery learning – Technique...

instead of in a subject-based approach. Phenomenon-based learning includes both topical learning (also known as topic-based learning or instruction), where...

in the Ground. Journal of the Learning Sciences, 13(1), 1-14. The Design-Based Research Collective. (2003). Design-based research: An emerging paradigm...

learning that meets the need of the workplace. Work-based learning is classified in three ways based on the: Duration of assignment: The work-based learning...

Competition-based learning (CBL) is a student-centered pedagogy that combines project-based learning and competitions. This can sometimes be referred to...

1991. Three years later, New Brunswick's NB Learning Network presented a similar system designed for DOS-based teaching, and devoted exclusively to business...

task-based learning processes. According to Jon Larsson, in considering problem-based learning for language learning, i.e., task-based language learning:...

Garden-based learning (GBL) encompasses programs, activities and projects in which the garden is the foundation for integrated learning, in and across...

Narrative-based learning is a learning model grounded in the theory that humans define their experiences within the context of narratives – which serve...

Challenge-based learning (CBL) is a framework for learning while solving real-world Challenges. The framework is collaborative and hands-on, asking all...

Learning sciences (LS) is the critical theoretical understanding of learning, engagement in the design and implementation of learning innovations, and...

P. (15 June 2020). "ESP4ML: Platform-Based Design of Systems-on-Chip for Embedded Machine Learning". 2020 Design, Automation & Test in Europe Conference...

requirement that learning should be based on doing hands-on experiments and activities. Activity-based learning is rooted in the idea that children are...

computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms...

(Adaptive Learning GAme dEsign) model, a comprehensive adaptive learning model based on game design theories and practices, instructional strategies, and adaptive...

datapoint. As contrasted with Pool-based sampling, the obvious drawback of stream-based methods is that the learning algorithm does not have sufficient...

(model-based) learning effective distance metrics (metrics-based) explicitly optimizing model parameters for fast learning (optimization-based). Model-based...

In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from...