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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.
The Kabul Model United Nations was established in Kabul in 2014. [ 54 ][ 55 ] The objectives are to bring young female and male individuals together to discuss global issues and promote diplomacy, human rights, peace building, and social welfare. 55 Participants include university students up to the age of 30.
Berlo's model includes a detailed discussion of the four main components of communication and their different aspects. [143] [144] Berlo's model is a linear transmission model of communication. It was published by David Berlo in 1960 and was influenced by earlier models, such as the Shannon–Weaver model and Schramm's model.
t. e. Multimodal learning, in the context of machine learning, is a type of deep learning using multiple modalities of data, such as text, audio, or images. In contrast, unimodal models can process only one type of data, such as text (typically represented as feature vectors) or images. Multimodal learning is different from combining unimodal ...
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The circumplex model of group tasks was inspired by the circumplex model of emotions, a graphical representation of emotional states (see Emotion classification § Circumplex model) that is usually a circle with unpleasant on the left, pleasant on the right, activation on the top, and deactivation on the bottom. All the other emotions are ...
BERT (language model) Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. [1][2] It learned by self-supervised learning to represent text as a sequence of vectors. It had the transformer encoder architecture. It was notable for its dramatic improvement over ...
Multilevel models (also known as hierarchical linear models, linear mixed-effect model, mixed models, nested data models, random coefficient, random-effects models, random parameter models, or split-plot designs) are statistical models of parameters that vary at more than one level. [1] An example could be a model of student performance that ...