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A PBL group at Sydney Dental Hospital. 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 in trigger material. The PBL process does not focus on problem solving with a defined solution, but it allows for the development of other desirable ...
The Gerlach and Ely model emphasizes the cycle nature of instructional design. [1] The authors wanted to design a model which explained each component of the teaching and learning process while at the same time examining the relationship between the media and instruction. The model consists of ten elements and was constructed for teachers who ...
Reinforcement learning ( RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take actions in a dynamic environment in order to maximize the cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and ...
70/20/10 model (learning and development) The 70:20:10 model for learning and development (also written as 70-20-10 or 70/20/10) is a learning and development model that suggests a proportional breakdown of how people learn effectively. It is based on a survey conducted in 1996 asking nearly 200 executives to self-report how they believed they ...
Social learning theory is a theory of social behavior that proposes that new behaviors can be acquired by observing and imitating others. It states that learning is a cognitive process that takes place in a social context and can occur purely through observation or direct instruction, even in the absence of motor reproduction or direct reinforcement. [1]
Learning styles. Learning styles refer to a range of theories that aim to account for differences in individuals' learning. [ 1] Although there is ample evidence that individuals express personal preferences on how they prefer to receive information, [ 2]: 108 few studies have found validity in using learning styles in education. [ 3]: 267 Many ...
Machine learningand data mining. Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the environment (hence "model-free"), and it can handle problems with stochastic transitions and rewards without requiring adaptations. [ 1]
Supervised learning. Supervised learning ( SL) is a paradigm in machine learning where input objects (for example, a vector of predictor variables) and a desired output value (also known as a human-labeled supervisory signal) train a model. The training data is processed, building a function that maps new data to expected output values. [ 1]