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Download as PDF; Printable version; ... Discovery learning is a technique of inquiry-based learning and is considered a ... In support of the fundamental concept of ...
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.
The Web-based Inquiry Science Environment (WISE) is a program hosted by University of California, Berkeley and supported by the National Science Foundation. It provides a platform for creating inquiry-based science projects for middle school and high school students to work collaboratively using evidence and resources from the Web.
Opponents of inquiry-based methods such as the three-part lesson state that students are not learning the basics such as multiplication tables. In Ontario, Canada, where the Ministry of Education has promoted the three-part lesson, the curriculum was changed in the late 1990s in favour of "problem solving based on open-ended investigations ...
Students and teachers involved in inquiry form a community of inquiry under certain circumstances. Therefore, a holistic understanding of a community of students and teachers engaged in authentic inquiry is the working definition of the key term ‘community of inquiry’. There is a gestalt dimension to the concept that is underlined by Lipman ...
This series came from a determination to understand why, and to explore how their way back from war can be smoothed. Moral injury is a relatively new concept that seems to describe what many feel: a sense that their fundamental understanding of right and wrong has been violated, and the grief, numbness or guilt that often ensues.
Some McDonald's locations go far beyond the typical drive-thru experience, offering unique and unforgettable dining settings that redefine the concept of fast food.
Most theories of concept learning are based on the storage of exemplars and avoid summarization or overt abstraction of any kind. In machine learning, this theory can be applied in training computer programs. [2] Concept learning: Inferring a Boolean-valued function from training examples of its input and output.