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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 ...
David A. Kolb's model is based on his experiential learning model, as explained in his book Experiential Learning. [13] Kolb's model outlines two related approaches toward grasping experience: Concrete Experience and Abstract Conceptualization, as well as two related approaches toward transforming experience: Reflective Observation and Active Experimentation.
Teaching method. A teaching method is a set of principles and methods used by teachers to enable student learning. These strategies are determined partly by the subject matter to be taught, partly by the relative expertise of the learners, and partly by constraints caused by the learning environment. [1] For a particular teaching method to be ...
Model-centered instruction is a general theory of instructional design developed by Andrew S. Gibbons. [1] This theory can be used to design individual and group instruction for all kinds of learning in any type of learning environment. In addition, this theory may be used to design instruction with a wide variety of technologies and many media ...
Berlin Model. The Berlin Model (German: Berliner Modell) was developed by Paul Heimann (1901–1967) and is also known as the “Teaching-learning theory of education" (German: lehr-lern-theoretische Didaktik) in order to distinguish it from the "developmental education theory" (German: bildungstheoretische Didaktik) of Wolfgang Klafki.
t. e. The self-blended model of learning (or self-blend model of learning) is a model of blended learning in which students take self-directed online courses in addition to their traditional face-to-face learning. [1] It differs from blended learning models in which teachers assign online content and resources, since in self-blended learning it ...
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.
Action model learning is a form of inductive reasoning, where new knowledge is generated based on agent's observations. It differs from standard supervised learning in that correct input/output pairs are never presented, nor imprecise action models explicitly corrected. Usual motivation for action model learning is the fact that manual ...