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Experiential learning (ExL) is the process of learning through experience, and is more narrowly defined as "learning through reflection on doing". [1] Hands-on learning can be a form of experiential learning, but does not necessarily involve students reflecting on their product. [2][3][4] Experiential learning is distinct from rote or didactic ...
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.
Inquiry-based learning. Inquiry-based learning (also spelled as enquiry-based learning in British English) [a] is a form of active learning that starts by posing questions, problems or scenarios. It contrasts with traditional education, which generally relies on the teacher presenting facts and their knowledge about the subject.
Machine learningand data mining. A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. Note: it uses the pre-LN convention, which is different from the post-LN convention used in the original 2017 Transformer. A transformer is a deep learning architecture developed by researchers at Google and based on ...
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.
Conceptual model. The term conceptual model refers to any model that is formed after a conceptualization or generalization process. [1][2] Conceptual models are often abstractions of things in the real world, whether physical or social. Semantic studies are relevant to various stages of concept formation.
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 ...
Logic model of the problem, which is a graphical depiction of at-risk population and its social environment behaviors (factors) leading to the health problem and their respective causal pathways (attitudes, beliefs, skills, etc.). This may include as well at-risk population physical environment related causes such as pollutants or lack of ...