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  2. Problem-based learning - Wikipedia

    en.wikipedia.org/wiki/Problem-based_learning

    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 skills ...

  3. Physics education research - Wikipedia

    en.wikipedia.org/wiki/Physics_education_research

    Physics education research (PER) is a form of discipline-based education research specifically related to the study of the teaching and learning of physics, often with the aim of improving the effectiveness of student learning. PER draws from other disciplines, such as sociology, cognitive science, education and linguistics, [1] and complements ...

  4. Physics education - Wikipedia

    en.wikipedia.org/wiki/Physics_education

    Physics education. Physics education or physics teaching refers to the education methods currently used to teach physics. The occupation is called physics educator or physics teacher. Physics education research refers to an area of pedagogical research that seeks to improve those methods. Historically, physics has been taught at the high school ...

  5. Inquiry-based learning - Wikipedia

    en.wikipedia.org/wiki/Inquiry-based_learning

    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.

  6. Active learning - Wikipedia

    en.wikipedia.org/wiki/Active_learning

    In a learning factory production-related subjects can be learned interactively in a realistic learning environment. Problem based learning or "PBL" is an active learning strategy that provides students with the problem first and has been found as an effective strategy with topics as advanced as medicine. [4]

  7. Physics-informed neural networks - Wikipedia

    en.wikipedia.org/wiki/Physics-informed_neural...

    Physics-informed neural networks for solving Navier–Stokes equations. Physics-informed neural networks (PINNs), [1] also referred to as Theory-Trained Neural Networks (TTNs), [2] are a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning process, and can be described by partial differential equations (PDEs).